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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 16

Showing 16 citing articles:

Modality-DTA: Multimodality Fusion Strategy for Drug–Target Affinity Prediction
Xixi Yang, Zhangming Niu, Yuansheng Liu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1200-1210
Closed Access | Times Cited: 42
BiComp-DTA: Drug-target binding affinity prediction through complementary biological-related and compression-based featurization approach
Mahmood Kalemati, Mojtaba Zamani Emani, Somayyeh Koohi
PLoS Computational Biology (2023) Vol. 19, Iss. 3, pp. e1011036-e1011036
Open Access | Times Cited: 25
Large language models in bioinformatics: applications and perspectives
Jiajia Liu, Mengyuan Yang, Yankai Yu, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 10
MDTips: a multimodal-data-based drug–target interaction prediction system fusing knowledge, gene expression profile, and structural data
Xiaoqiong Xia, Chaoyu Zhu, Fan Zhong, et al.
Bioinformatics (2023) Vol. 39, Iss. 7
Open Access | Times Cited: 18
Breaking the barriers of data scarcity in drug–target affinity prediction
Qizhi Pei, Lijun Wu, Jinhua Zhu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 16
DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteins
Xiaokun Li, Qiang Yang, Long Xu, et al.
Bioinformatics (2024) Vol. 40, Iss. 4
Open Access | Times Cited: 4
DTI-LM: Language Model Powered Drug-Target Interaction Prediction
Khandakar Tanvir Ahmed, Md. Istiaq Ansari, Wei Zhang
Bioinformatics (2024) Vol. 40, Iss. 9
Open Access | Times Cited: 4
Application of Artificial Intelligence In Drug-target Interactions Prediction: A Review
Qian Liao, Yu Zhang, Ying Chu, et al.
npj Biomedical Innovations. (2025) Vol. 2, Iss. 1
Open Access
Ai-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Journal of Advanced Research (2025)
Open Access
Protein language models for predicting drug–target interactions: Novel approaches, emerging methods, and future directions
Atabey Ünlü, Erva Ulusoy, Melih Gökay Yiğit, et al.
Current Opinion in Structural Biology (2025) Vol. 91, pp. 103017-103017
Closed Access
A Review of Drug-Target Interaction Prediction Methods
Hongtao Yu, Yin Wang, Jungang Lou
Communications in computer and information science (2025), pp. 161-195
Closed Access
ERT-GFAN: A multimodal drug–target interaction prediction model based on molecular biology and knowledge-enhanced attention mechanism
Xiaoqing Cheng, Xixin Yang, Yuanlin Guan, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 109012-109012
Closed Access | Times Cited: 1
Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model
Aditya Malusare, Vaneet Aggarwal
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024), pp. 1-8
Open Access
LLMDTA: Improving Cold-Start Prediction in Drug-Target Affinity with Biological LLM
Wuguo Tang, Qichang Zhao, Jianxin Wang
Lecture notes in computer science (2024), pp. 152-163
Closed Access
CGPDTA: An Explainable Transfer Learning‐Based Predictor With Molecule Substructure Graph for Drug‐Target Binding Affinity
Qing Fan, Yingxu Liu, Simeng Zhang, et al.
Journal of Computational Chemistry (2024) Vol. 46, Iss. 1
Closed Access
MULGA, a unified multi-view graph autoencoder-based approach for identifying drug–protein interaction and drug repositioning
Jiani Ma, Chen Li, Yiwen Zhang, et al.
Bioinformatics (2023) Vol. 39, Iss. 9
Open Access
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