Citation sources

Updated weekly. Details via Crossref

Crossref	Scopus	Google Scholar
37	31	Search

2026	Lecture Notes in Computer Science Hui Feng, Yuntzu Yin, Emiliano Reynares, Jay Nanavati
2025	CyberKG: Constructing a Cybersecurity Knowledge Graph Based on SecureBERT_Plus for CTI Reports Informatics Binyong Li, Qiaoxi Yang, Chuang Deng, Hua Pan
2025	Lecture Notes in Computer Science Gaurav Pandit, Michael Röder, Axel-Cyrille Ngonga Ngomo
2025	Deciphering shared molecular dysregulation across Parkinson’s disease variants using a multi-modal network-based data integration and analysis npj Parkinson's Disease Alise Zagare, Irina Balaur, Adrien Rougny, Claudia Saraiva, Matthieu Gobin, Anna S. Monzel, Soumyabrata Ghosh, Venkata P. Satagopam, Jens C. Schwamborn
2025	AI-Based Computational Methods in Early Drug Discovery and Post Market Drug Assessment: A Survey IEEE Transactions on Computational Biology and Bioinformatics Flora Rajaei, Cristian Minoccheri, Emily Wittrup, Richard C. Wilson, Brian D. Athey, Gilbert S. Omenn, Kayvan Najarian
2024	2024 5th International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) Wei Zhou, Hongjie Li, Jing Yang, Jinghao Fang
2024	SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction IEEE/ACM Transactions on Computational Biology and Bioinformatics Wei Wang, Mengxue Yu, Bin Sun, Juntao Li, Dong Liu, Hongjun Zhang, Xianfang Wang, Yun Zhou
2024	Visualization Methods for DNA Sequences: A Review and Prospects Biomolecules Tan Li, Mengshan Li, Yan Wu, Yelin Li
2024	Harnessing Heterogeneous Information Networks: A systematic literature review Computer Science Review Leila Outemzabet, Nicolas Gaud, Aurélie Bertaux, Christophe Nicolle, Stéphane Gerart, Sébastien Vachenc
2024	A Methodology for Knowledge Discovery in Labeled and Heterogeneous Graphs Applied Sciences Víctor H. Ortega-Guzmán, Luis Gutiérrez-Preciado, Francisco Cervantes, Mildreth Alcaraz-Mejia
2024	FutureCite: Predicting Research Articles’ Impact Using Machine Learning and Text and Graph Mining Techniques Mathematical and Computational Applications Maha A. Thafar, Mashael M. Alsulami, Somayah Albaradei
2024	Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics Parth Patel, Yu-Chiao Chiu, Yufei Hunag, Jianqiu Zhang
2024	Heterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective Informatics and Health Shirui Yu, Aihua Li, Yifei Chen, Dechao Wang, Xiaoli Tang
2024	2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Peifu Han, Tao Song, Jianmin Wang
2023	A Self-Supervised Framework for Learning Biological Entities Representation by Fusing Class Information IEEE Journal of Biomedical and Health Informatics Nan Li, Zhihao Yang, Jian Wang, Hongfei Lin
2023	Representation Learning for Natural Language Processing Zheni Zeng, Zhiyuan Liu, Yankai Lin, Maosong Sun
2023	Probabilistic Coarsening for Knowledge Graph Embeddings Axioms Marcin Pietrasik, Marek Z. Reformat
2023	Biomedical named entity recognition based on fusion multi-features embedding Technology and Health Care Meijing Li, Hao Yang, Yuxin Liu
2023	Biomedical named entity recognition based on fusion multi-features embedding Technology and Health Care Meijing Li, Hao Yang, Yuxin Liu
2023	Proceedings of the 12th Knowledge Capture Conference 2023 Shahi Dost, Ariam Rivas, Hanan Begali, Annett Ziegler, Elimira Aliabadi, Markus Cornberg, Anke Rm Kraft, Maria-Esther Vidal
2023	Bidirectional matching and aggregation network for few-shot relation extraction PeerJ Computer Science Zhongcheng Wei, Wenjie Guo, Yunping Zhang, Jieying Zhang, Jijun Zhao
2023	BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs Journal of Biomedical Semantics Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth
2023	Predicting protein and pathway associations for understudied dark kinases using pattern-constrained knowledge graph embedding PeerJ Mariah V. Salcedo, Nathan Gravel, Abbas Keshavarzi, Liang-Chin Huang, Krzysztof J. Kochut, Natarajan Kannan
2023	OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features Frontiers in Genetics Maha A. Thafar, Somayah Albaradei, Mahmut Uludag, Mona Alshahrani, Takashi Gojobori, Magbubah Essack, Xin Gao
2023	LM-DTI: a tool of predicting drug-target interactions using the node2vec and network path score methods Frontiers in Genetics Jianwei Li, Yinfei Wang, Zhiguang Li, Hongxin Lin, Baoqin Wu
2023	A comprehensive review on knowledge graphs for complex diseases Briefings in Bioinformatics Yang Yang, Yuwei Lu, Wenying Yan
2022	Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications PeerJ Mona Alshahrani, Abdullah Almansour, Asma Alkhaldi, Maha A. Thafar, Mahmut Uludag, Magbubah Essack, Robert Hoehndorf
2022	A knowledge graph representation learning approach to predict novel kinase–substrate interactions Molecular Omics Sachin Gavali, Karen Ross, Chuming Chen, Julie Cowart, Cathy H. Wu
2022	Contexts and contradictions: a roadmap for computational drug repurposing with knowledge inference Briefings in Bioinformatics Daniel N Sosa, Russ B Altman
2022	Multimodal reasoning based on knowledge graph embedding for specific diseases Bioinformatics Chaoyu Zhu, Zhihao Yang, Xiaoqiong Xia, Nan Li, Fan Zhong, Lei Liu
2022	Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning Scientific Reports Maha A. Thafar, Mona Alshahrani, Somayah Albaradei, Takashi Gojobori, Magbubah Essack, Xin Gao
2021	DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning Journal of Cheminformatics Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajic, Takashi Gojobori, Magbubah Essack, Xin Gao
	Additional cited-by details will be shown when available from Crossref