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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:

Geometric deep learning for drug discovery
Mingquan Liu, Chunyan Li, Ruizhe Chen, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122498-122498
Closed Access | Times Cited: 20

Showing 20 citing articles:

Benchmarking the robustness of the correct identification of flexible 3D objects using common machine learning models
Yang Zhang, Andreas Vitalis
Patterns (2025) Vol. 6, Iss. 1, pp. 101147-101147
Open Access | Times Cited: 1
ERNIE-ac4C: A novel deep learning model for effectively predicting N4-acetylcytidine sites
Ronglin Lu, Jianbo Qiao, Kaixiang Li, et al.
Journal of Molecular Biology (2025), pp. 168978-168978
Closed Access | Times Cited: 1
Machine learning for the advancement of membrane science and technology: A critical review
Gergő Ignácz, Lana Bader, Aron K. Beke, et al.
Journal of Membrane Science (2024) Vol. 713, pp. 123256-123256
Open Access | Times Cited: 8
PSAC-6mA: 6mA site identifier using self-attention capsule network based on sequence-positioning
Zheyu Zhou, Cuilin Xiao, Jinfen Yin, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108129-108129
Closed Access | Times Cited: 6
Adaptive adversarial augmentation for molecular property prediction
Soyoung Cho, Sungchul Hong, Jong‐June Jeon
Expert Systems with Applications (2025), pp. 126512-126512
Open Access
Conotoxins: Classification, Prediction, and Future Directions in Bioinformatics
Rui Li, Junwen Yu, Dong-Xin Ye, et al.
Toxins (2025) Vol. 17, Iss. 2, pp. 78-78
Open Access
Interaction Prediction on BACE-1 Inhibitors Data for Alzheimer Disease using Message Passing Neural Network
Suat Toraman, Bihter Daş
Firat University Journal of Experimental and Computational Engineering (2025) Vol. 4, Iss. 1, pp. 72-84
Open Access
Leveraging protein language models for robust antimicrobial peptide detection
Lichao Zhang, Shuwen Xiong, Lei Xu, et al.
Methods (2025)
Closed Access
MGDM: Molecular generation using a multinomial diffusion model
Sisi Yuan, Chen Zhao, Jiuyong Li, et al.
Methods (2025)
Closed Access
Cancer Drug Sensitivity Prediction Based on Deep Transfer Learning
Weilin Meng, Xinyu Xu, Zhichao Xiao, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 6, pp. 2468-2468
Open Access
Moss-m7G: A Motif-Based Interpretable Deep Learning Method for RNA N7-Methlguanosine Site Prediction
Yanxi Zhao, Junru Jin, Wenjia Gao, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 15, pp. 6230-6240
Closed Access | Times Cited: 3
Research on Bitter Peptides in the Field of Bioinformatics: A Comprehensive Review
Shanghua Liu, Tianyu Shi, Junwen Yu, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 18, pp. 9844-9844
Open Access | Times Cited: 2
IIFS2.0: An Improved Incremental Feature Selection Method for Protein Sequence Processing Based on a Caching Strategy
Chaolu Meng, Yue Pei, Yongbo Bu, et al.
Journal of Molecular Biology (2024), pp. 168741-168741
Open Access | Times Cited: 1
Deep Learning in Bioinformatics
A.G. Cioletti, Frederico Chaves Carvalho, Lucas Moraes dos Santos, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 137-168
Closed Access | Times Cited: 1
IIFS2.0: An Improved Incremental Feature Selection Method for Protein Sequence Processing Based on a Caching Strategy
Chaolu Meng, Yue Pei, Yongbo Bu, et al.
Authorea (Authorea) (2024)
Open Access
Iifs2.0: An Improved Incremental Feature Selection Method for Protein Sequence Processing Based on a Caching Strategy
Chaolu Meng, Yue Pei, Yongbo Bu, et al.
(2024)
Open Access
Molecular representation contrastive learning via transformer embedding to graph neural networks
Yunwu Liu, Ruisheng Zhang, Tongfeng Li, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111970-111970
Closed Access
A protein pre-trained model-based approach for the identification of the liquid-liquid phase separation (LLPS) proteins
Zahoor Ahmed, Kiran Shahzadi, Sebu Aboma Temesgen, et al.
International Journal of Biological Macromolecules (2024) Vol. 277, pp. 134146-134146
Closed Access
DualSyn: A dual-level feature interaction method to predict synergistic drug combinations
Zehui Chen, Zimeng Li, Xiangzhen Shen, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125065-125065
Closed Access
Therapeutic peptides identification via kernel risk sensitive loss-based k-nearest neighbor model and multi-Laplacian regularization
Wenyu Zhang, Yijie Ding, Leyi Wei, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
Human essential gene identification based on feature fusion and feature screening
Zhao‐Yue Zhang, Yiwei Fan, Huang Cheng-bing, et al.
IET Systems Biology (2024)
Open Access
Predicting cyclins based on key features and machine learning methods
Chengyan Wu, Zhi‐Xue Xu, Nan Li, et al.
Methods (2024)
Closed Access
Graph Attention Neural Networks Improving Molecular Docking Rank with Protein-Ligand Contact Maps
Gabriela Liberalino Lima, Simone Queiroz Pantaleão, Inês A. C. Pereira, et al.
(2024), pp. 143-154
Closed Access
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