![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Yijie Ding
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j72]Mingshuai Chen, Mingai Sun, Xi Su, Prayag Tiwari, Yijie Ding:
Fuzzy kernel evidence Random Forest for identifying pseudouridine sites. Briefings Bioinform. 25(3) (2024) - [j71]Tan Yang, Hai Yang, Yan Liu, Xiao Liu, Yijie Ding, Run Li, AnQiong Mao, Yue Huang, Xiao-Liang Li, Ying Zhang, Feng-Xu Yu
:
Postoperative delirium prediction after cardiac surgery using machine learning models. Comput. Biol. Medicine 169: 107818 (2024) - [j70]Mingliang Dou
, Jijun Tang
, Prayag Tiwari
, Yijie Ding
, Fei Guo
:
Drug-Drug Interaction Relation Extraction Based on Deep Learning: A Review. ACM Comput. Surv. 56(6): 158:1-158:33 (2024) - [j69]Hao Xie
, Yijie Ding
, Yuqing Qian, Prayag Tiwari
, Fei Guo
:
Structured Sparse Regularization based Random Vector Functional Link Networks for DNA N4-methylcytosine sites prediction. Expert Syst. Appl. 235: 121157 (2024) - [j68]Yizheng Wang, Xin Zhang, Ying Ju, Qing Liu, Quan Zou, Yazhou Zhang, Yijie Ding, Ying Zhang:
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning. Frontiers Comput. Sci. 18(2): 182903 (2024) - [j67]Yu Zhang, Qian Liao, Prayag Tiwari, Ying Chu, Yu Wang, Yi Ding, Xianyi Zhao, Jie Wan, Yijie Ding, Ke Han
:
MvG-NRLMF: Multi-view graph neighborhood regularized logistic matrix factorization for identifying drug-target interaction. Future Gener. Comput. Syst. 160: 844-853 (2024) - [j66]Junkai Liu, Fuyuan Hu, Quan Zou, Prayag Tiwari
, Hongjie Wu, Yijie Ding:
Drug repositioning by multi-aspect heterogeneous graph contrastive learning and positive-fusion negative sampling strategy. Inf. Fusion 112: 102563 (2024) - [j65]Junkai Liu, Shixuan Guan, Quan Zou
, Hongjie Wu, Prayag Tiwari
, Yijie Ding:
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug-disease associations prediction. Knowl. Based Syst. 284: 111329 (2024) - [j64]Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou
, Shujie Qi, Zhiming Cui, Prayag Tiwari
, Yijie Ding:
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism. Neural Networks 169: 623-636 (2024) - [j63]Xiaoyi Guo, Ziyu Zheng, Kang Hao Cheong, Quan Zou
, Prayag Tiwari
, Yijie Ding:
Sequence homology score-based deep fuzzy network for identifying therapeutic peptides. Neural Networks 178: 106458 (2024) - [j62]Leyao Wang, Prayag Tiwari, Yijie Ding
, Fei Guo:
Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis. IEEE Trans. Artif. Intell. 5(2): 895-903 (2024) - [j61]Yijie Ding
, Fei Guo
, Prayag Tiwari, Quan Zou:
Identification of Drug-Side-Effect Association via Multiview Semisupervised Sparse Model. IEEE Trans. Artif. Intell. 5(5): 2151-2162 (2024) - [j60]Lu Rong, Yijie Ding, Mengyao Wang, Abdulmotaleb El-Saddik
, M. Shamim Hossain
:
A Multi-Modal ELMo Model for Image Sentiment Recognition of Consumer Data. IEEE Trans. Consumer Electron. 70(1): 3697-3708 (2024) - [j59]Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou:
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction. Trans. Mach. Learn. Res. 2024 (2024) - [c12]Yaojia Chen, Mengting Niu, Yi Liu, Jiacheng Wang, Yijie Ding, Quan Zou:
AAHLDMA: Predicting Drug-Microbe Associations Based on Bridge Graph Learning. ICIC (LNBI 2) 2024: 3-14 - [i2]Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou:
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction. CoRR abs/2407.00105 (2024) - 2023
- [j58]Ke Han
, Jianchun Wang, Yu Wang, Lei Zhang, Mengyao Yu, Fang Xie, Dequan Zheng, Yaoqun Xu, Yijie Ding
, Jie Wan:
A review of methods for predicting DNA N6-methyladenine sites. Briefings Bioinform. 24(1) (2023) - [j57]Yutong Ming, Hongzhi Liu, Yizhi Cui, Shaoyong Guo, Yijie Ding
, Ruijun Liu:
Identification of DNA-binding proteins by Kernel Sparse Representation via L2,1-matrix norm. Comput. Biol. Medicine 159: 106849 (2023) - [j56]Yu Wang, Yu Zhang, Jianchun Wang, Fang Xie, Dequan Zheng, Xiang Zou, Mian Guo, Yijie Ding, Jie Wan, Ke Han
:
Prediction of drug-target interactions via neural tangent kernel extraction feature matrix factorization model. Comput. Biol. Medicine 159: 106955 (2023) - [j55]Yongsan Liu, Shixuan Guan, Tengsheng Jiang, Qiming Fu, Jieming Ma
, Zhiming Cui, Yijie Ding, Hongjie Wu:
DNA protein binding recognition based on lifelong learning. Comput. Biol. Medicine 164: 107094 (2023) - [j54]Xingyue Gu, Yijie Ding
, Pengfeng Xiao:
MLapRVFL: Protein sequence prediction based on Multi-Laplacian Regularized Random Vector Functional Link. Comput. Biol. Medicine 167: 107618 (2023) - [j53]Yijie Ding
, Prayag Tiwari
, Fei Guo, Quan Zou:
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites. Inf. Fusion 100: 101911 (2023) - [j52]Leyao Wang, Yijie Ding
, Prayag Tiwari
, Junhai Xu, Wenhuan Lu, Khan Muhammad
, Victor Hugo C. de Albuquerque, Fei Guo:
A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites. Inf. Sci. 630: 40-52 (2023) - [j51]Xiaoyi Guo, Prayag Tiwari
, Quan Zou
, Yijie Ding
:
Subspace projection-based weighted echo state networks for predicting therapeutic peptides. Knowl. Based Syst. 263: 110307 (2023) - [j50]Chengwei Ai
, Prayag Tiwari
, Hongpeng Yang, Yijie Ding
, Jijun Tang
, Fei Guo
:
Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model. IEEE Trans. Artif. Intell. 4(5): 1236-1245 (2023) - [j49]Yijie Ding
, Wenying He, Jijun Tang
, Quan Zou
, Fei Guo
:
Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 500-511 (2023) - [j48]Yuqing Qian, Yijie Ding
, Quan Zou
, Fei Guo
:
Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1234-1245 (2023) - [j47]Shixuan Guan
, Yuqing Qian, Tengsheng Jiang, Min Jiang, Yijie Ding
, Hongjie Wu
:
MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1246-1256 (2023) - [j46]Shixuan Guan
, Quan Zou
, Hongjie Wu
, Yijie Ding
:
Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2619-2628 (2023) - [j45]Chengwei Ai
, Hongpeng Yang
, Yijie Ding
, Jijun Tang
, Fei Guo
:
Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3033-3043 (2023) - [i1]Yizheng Wang, Yixiao Zhai, Yijie Ding, Quan Zou:
SBSM-Pro: Support Bio-sequence Machine for Proteins. CoRR abs/2308.10275 (2023) - 2022
- [j44]Yijie Ding
, Chao Yang, Jijun Tang, Fei Guo:
Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model. Appl. Intell. 52(6): 6598-6612 (2022) - [j43]Leyao Wang, Yijie Ding
, Junhai Xu, Wenhuan Lu, Jijun Tang, Fei Guo
:
Identification of DNA N4-methylcytosine sites via fuzzy model on self representation. Appl. Soft Comput. 122: 108840 (2022) - [j42]Yijie Ding
, Jijun Tang, Fei Guo, Quan Zou:
Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization. Briefings Bioinform. 23(2) (2022) - [j41]Yuqing Qian, Yijie Ding
, Quan Zou, Fei Guo:
Identification of drug-side effect association via restricted Boltzmann machines with penalized term. Briefings Bioinform. 23(6) (2022) - [j40]Yaojia Chen, Yanpeng Wang, Yijie Ding
, Xi Su, Chunyu Wang
:
RGCNCDA: Relational graph convolutional network improves circRNA-disease association prediction by incorporating microRNAs. Comput. Biol. Medicine 143: 105322 (2022) - [j39]Shulin Zhao
, Yijie Ding
, Xiaobin Liu, Xi Su:
HKAM-MKM: A hybrid kernel alignment maximization-based multiple kernel model for identifying DNA-binding proteins. Comput. Biol. Medicine 145: 105395 (2022) - [j38]Ram Singh
, Prayag Tiwari
, Shahab S. Band, Attiq U. Rehman, Shubham Mahajan, Yijie Ding
, Xiaobin Liu, Amit Kant Pandit:
Impact of quarantine on fractional order dynamical model of Covid-19. Comput. Biol. Medicine 151(Part): 106266 (2022) - [j37]Xiaoyi Guo, Prayag Tiwari
, Ying Zhang, Shuguang Han, Yansu Wang
, Yijie Ding
:
Random Fourier features-based sparse representation classifier for identifying DNA-binding proteins. Comput. Biol. Medicine 151(Part): 106268 (2022) - [j36]Yue Huang, YingBo Ren, Hai Yang, YiJie Ding
, Yan Liu, YunChun Yang, AnQiong Mao, Tan Yang, YingZi Wang, Feng Xiao, QiZhou He, Ying Zhang:
Using a machine learning-based risk prediction model to analyze the coronary artery calcification score and predict coronary heart disease and risk assessment. Comput. Biol. Medicine 151(Part): 106297 (2022) - [j35]Chengwei Ai, Hongpeng Yang, Yijie Ding
, Jijun Tang, Fei Guo:
A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases. Neurocomputing 493: 91-105 (2022) - [j34]Hongpeng Yang
, Yijie Ding
, Jijun Tang
, Fei Guo:
Inferring human microbe-drug associations via multiple kernel fusion on graph neural network. Knowl. Based Syst. 238: 107888 (2022) - [j33]Mengwei Sun, Prayag Tiwari
, Yuqing Qian, Yijie Ding
, Quan Zou
:
MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity. Knowl. Based Syst. 250: 109174 (2022) - [j32]Ping Li, Prayag Tiwari
, Junhai Xu, Yuqing Qian, Chengwei Ai, Yijie Ding
, Fei Guo:
Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases. Knowl. Based Syst. 258: 110044 (2022) - [j31]Yijie Ding
, Prayag Tiwari
, Fei Guo, Quan Zou:
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization. Neural Networks 156: 170-178 (2022) - [j30]Tengsheng Jiang, Yuhui Chen, Shixuan Guan
, Zhongtian Hu, Weizhong Lu, Qiming Fu
, Yijie Ding
, Haiou Li
, Hongjie Wu
:
G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3126-3134 (2022) - [j29]Haohao Zhou
, Hao Wang, Jijun Tang, Yijie Ding
, Fei Guo
:
Identify ncRNA Subcellular Localization via Graph Regularized $k$k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3517-3529 (2022) - [j28]Yijie Ding
, Prayag Tiwari
, Quan Zou
, Fei Guo
, Hari Mohan Pandey
:
C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites. IEEE Trans. Fuzzy Syst. 30(11): 4754-4765 (2022) - [c11]Xiaoyi Guo, Yuqing Qian, Prayag Tiwari, Quan Zou, Yijie Ding
:
Kernel Risk Sensitive Loss-based Echo State Networks for Predicting Therapeutic Peptides with Sparse Learning. BIBM 2022: 6-11 - [c10]Yazhou Zhang, Yu He, Lu Rong, Yijie Ding
:
A Hybrid Model for Depression Detection With Transformer and Bi-directional Long Short-Term Memory. BIBM 2022: 2727-2734 - [c9]Yang Yu, Lu Rong, Mengyao Wang, Min Huang, Yazhou Zhang, Yijie Ding
:
Prompt Learning for Multi-modal COVID-19 Diagnosis. BIBM 2022: 2803-2807 - 2021
- [j27]Hongpeng Yang, Yijie Ding
, Jijun Tang, Fei Guo
:
Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares. Appl. Soft Comput. 112: 107811 (2021) - [j26]Hao Wang, Jijun Tang, Yijie Ding
, Fei Guo:
Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment. Briefings Bioinform. 22(5) (2021) - [j25]Yuqing Qian, Limin Jiang, Yijie Ding
, Jijun Tang, Fei Guo
:
A sequence-based multiple kernel model for identifying DNA-binding proteins. BMC Bioinform. 22-S(3): 291 (2021) - [j24]Weizhong Lu, Yan Cao, Hongjie Wu, Yijie Ding
, Zhengwei Song, Yu Zhang, Qiming Fu, Haiou Li:
Research on RNA secondary structure predicting via bidirectional recurrent neural network. BMC Bioinform. 22-S(3): 431 (2021) - [j23]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of drug-target interactions via multi-view graph regularized link propagation model. Neurocomputing 461: 618-631 (2021) - [j22]Chao Yang, Yijie Ding
, Qiaozhen Meng, Jijun Tang, Fei Guo
:
Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information. Neural Comput. Appl. 33(17): 11387-11399 (2021) - [j21]Yubo Wang, Yijie Ding
, Jijun Tang
, Yu Dai, Fei Guo
:
CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 325-335 (2021) - [j20]Hongjie Wu
, Huajing Ling, Lei Gao, Qiming Fu
, Weizhong Lu, Yijie Ding
, Min Jiang, Haiou Li:
Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1752-1762 (2021) - [j19]Yijie Ding
, Jijun Tang
, Fei Guo
:
Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1986-1995 (2021) - [j18]Yan Zheng, Hao Wang, Yijie Ding
, Fei Guo
:
CEPZ: A Novel Predictor for Identification of DNase I Hypersensitive Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2768-2774 (2021) - [j17]Yinuo Lyu
, Zhen Zhang, Jiawei Li, Wenying He, Yijie Ding
, Fei Guo
:
iEnhancer-KL: A Novel Two-Layer Predictor for Identifying Enhancers by Position Specific of Nucleotide Composition. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2809-2815 (2021) - [c8]Mengwei Sun, Yuqing Qian, Yijie Ding
, Jijun Tang, Quan Zou:
Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model. BIBM 2021: 80-85 - [c7]Linqian Cui, You Lu, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding
, Hongjie Wu:
A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction. ICIC (3) 2021: 222-230 - [c6]Weizhong Lu, Xiaoyi Chen, Yu Zhang, Hongjie Wu, Jiawei Shen, Nan Zhou, Yijie Ding
:
Research on RNA Secondary Structure Prediction Based on MLP. ICIC (3) 2021: 336-344 - [c5]Weizhong Lu, Jiawei Shen, Yuqing Qian, Hongjie Wu, Yijie Ding
, Xiaoyi Chen:
Membrane Protein Identification via Multiple Kernel Fuzzy SVM. ICIC (3) 2021: 634-646 - 2020
- [j16]Yijie Ding
, Jijun Tang, Fei Guo:
Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation. Appl. Soft Comput. 96: 106596 (2020) - [j15]Yinan Shen, Yijie Ding
, Jijun Tang, Quan Zou, Fei Guo:
Critical evaluation of web-based prediction tools for human protein subcellular localization. Briefings Bioinform. 21(5): 1628-1640 (2020) - [j14]Yijie Ding
, Limin Jiang, Jijun Tang, Fei Guo:
Identification of human microRNA-disease association via hypergraph embedded bipartite local model. Comput. Biol. Chem. 89: 107369 (2020) - [j13]Hao Wang, Yijie Ding
, Jijun Tang, Fei Guo:
Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion. Neurocomputing 383: 257-269 (2020) - [j12]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion. Knowl. Based Syst. 204: 106254 (2020) - [j11]Yijie Ding
, Jijun Tang, Fei Guo
:
Identification of drug-target interactions via fuzzy bipartite local model. Neural Comput. Appl. 32(14): 10303-10319 (2020) - [c4]Jinhao Zhang, Shuhao Li, Yijie Ding
, Jijun Tang, Fei Guo:
An two-layer predictive model of ensemble classifier chain for detecting antimicrobial peptides. BIBM 2020: 56-61
2010 – 2019
- 2019
- [j10]Cong Shen, Yijie Ding
, Jijun Tang, Limin Jiang, Fei Guo
:
LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information. IEEE Access 7: 13486-13496 (2019) - [j9]Hongjie Wu, Hongmei Huang, Weizhong Lu, Qiming Fu, Yijie Ding
, Jing Qiu, Haiou Li:
Ranking near-native candidate protein structures via random forest classification. BMC Bioinform. 20-S(25): 683 (2019) - [j8]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of drug-side effect association via multiple information integration with centered kernel alignment. Neurocomputing 325: 211-224 (2019) - [j7]Yijie Ding
, Jijun Tang
, Fei Guo
:
Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning. IEEE J. Biomed. Health Informatics 23(6): 2619-2632 (2019) - [c3]Weizhong Lu, Zhengwei Song, Yijie Ding
, Hongjie Wu, Hongmei Huang:
A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information. ICIC (2) 2019: 418-429 - [c2]Weizhong Lu, Yan Cao, Hongjie Wu, Hongmei Huang, Yijie Ding
:
Research on RNA Secondary Structure Prediction Based on Decision Tree. ICIC (2) 2019: 430-439 - [c1]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information. ICIC (2) 2019: 468-479 - 2018
- [j6]Leyi Wei
, Yijie Ding
, Ran Su
, Jijun Tang, Quan Zou
:
Prediction of human protein subcellular localization using deep learning. J. Parallel Distributed Comput. 117: 212-217 (2018) - 2017
- [j5]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of drug-target interactions via multiple information integration. Inf. Sci. 418: 546-560 (2017) - [j4]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier. J. Chem. Inf. Model. 57(12): 3149-3161 (2017) - 2016
- [j3]Yijie Ding
, Jijun Tang, Fei Guo:
Predicting protein-protein interactions via multivariate mutual information of protein sequences. BMC Bioinform. 17: 398 (2016) - [j2]Fei Guo, Yijie Ding
, Shuai Cheng Li
, Chao Shen, Lusheng Wang:
Protein-protein interface prediction based on hexagon structure similarity. Comput. Biol. Chem. 63: 83-88 (2016) - 2015
- [j1]Fei Guo, Yijie Ding
, Zhao Li, Jijun Tang:
Identification of Protein-Protein Interactions by Detecting Correlated Mutation at the Interface. J. Chem. Inf. Model. 55(9): 2042-2049 (2015)
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-23 18:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint