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:

Recent Advances in Deep Learning for Protein-Protein Interaction Analysis: A Comprehensive Review
Minhyeok Lee
Molecules (2023) Vol. 28, Iss. 13, pp. 5169-5169
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Transformer Architecture and Attention Mechanisms in Genome Data Analysis: A Comprehensive Review
Sanghyuk Roy Choi, Minhyeok Lee
Biology (2023) Vol. 12, Iss. 7, pp. 1033-1033
Open Access | Times Cited: 61

Machine Learning Empowering Drug Discovery: Applications, Opportunities and Challenges
Xin Qi, Yuanchun Zhao, Zhuang Qi, et al.
Molecules (2024) Vol. 29, Iss. 4, pp. 903-903
Open Access | Times Cited: 21

Leveraging machine learning models for peptide–protein interaction prediction
Yin Song, Xuenan Mi, Diwakar Shukla
RSC Chemical Biology (2024) Vol. 5, Iss. 5, pp. 401-417
Open Access | Times Cited: 18

Future Perspective: Harnessing the Power of Artificial Intelligence in the Generation of New Peptide Drugs
Nour Nissan, M. C. ALLEN, David A. Sabatino, et al.
Biomolecules (2024) Vol. 14, Iss. 10, pp. 1303-1303
Open Access | Times Cited: 5

Recent Advancement in Bioinformatics
Yogesh Kumar Sharma, Leena Arya, Smitha, et al.
(2025), pp. 227-246
Closed Access

A comprehensive survey of scoring functions for protein docking models
Azam Shirali, Vitalii Stebliankin, Ukesh Karki, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access

Deep learning: A game changer in drug design and development
Sushanta Kumar Das, Rahul Mishra, Amit Samanta, et al.
Advances in pharmacology (2025)
Closed Access

Future prospective of AI in drug discovery
Mithun Bhowmick, Sourajyoti Goswami, Pratibha Bhowmick, et al.
Advances in pharmacology (2025)
Closed Access

Fusion of enzymatic proteins: Enhancing biological activities and facilitating biological modifications
Agnieszka Rybarczyk, Tipu Sultan, Nazim Hussain, et al.
Advances in Colloid and Interface Science (2025) Vol. 340, pp. 103473-103473
Closed Access

Combining Ensemble Learning and Multi–view Feature Extraction for Protein–protein Interaction Prediction
Tran Hoai-Nhan, Nguyen-Phuc-Xuan Quynh, Vo-Ho Thu-Sang, et al.
Lecture notes in networks and systems (2025), pp. 650-660
Closed Access

Next-Generation Computational Approaches for Biological Network Analysis
Hamza Ali Mari, Maham Taqi, Abrar Ahmed Rattar, et al.
BioMed Target Journal (2025), pp. 3-3
Open Access

From Traditional Methods to Deep Learning Approaches: Advances in Protein–Protein Docking
Linlong Jiang, Ke Zhang, Kai Zhu, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2025) Vol. 15, Iss. 2
Closed Access

DG-Affinity: predicting antigen–antibody affinity with language models from sequences
Ye Yuan, Qushuo Chen, Jun Mao, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 11

Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence
Ahrum Son, Jongham Park, Woojin Kim, et al.
Molecules (2024) Vol. 29, Iss. 19, pp. 4626-4626
Open Access | Times Cited: 4

Studying protein–protein interactions: Latest and most popular approaches
Sama Akbarzadeh, Özlem Coşkun, Başak Günçer
Journal of Structural Biology (2024) Vol. 216, Iss. 4, pp. 108118-108118
Closed Access | Times Cited: 3

Utilizing Molecular Dynamics Simulations, Machine Learning, Cryo-EM, and NMR Spectroscopy to Predict and Validate Protein Dynamics
Ahrum Son, Woojin Kim, Jongham Park, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 17, pp. 9725-9725
Open Access | Times Cited: 3

Vaccine development using artificial intelligence and machine learning: A review
Varun Asediya, Pranav Anjaria, R. A. Mathakiya, et al.
International Journal of Biological Macromolecules (2024), pp. 136643-136643
Closed Access | Times Cited: 3

AI-Assisted Methods for Protein Structure Prediction and Analysis
Divya Goel, Ravi Kumar, Sudhir Kumar
Microorganisms for sustainability (2024), pp. 365-391
Closed Access | Times Cited: 2

Seventy Years of Dose-response Models: From the Target Theory to the Use of Big Databases Involving Cell Survival and DNA Repair
Larry Bodgi, Laurent Pujo-Menjouet, Audrey Bouchet, et al.
Radiation Research (2024) Vol. 202, Iss. 2
Closed Access | Times Cited: 2

NeurostimML: a machine learning model for predicting neurostimulation-induced tissue damage
Yi Li, Rebecca A. Frederick, Daniel George, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036054-036054
Open Access | Times Cited: 2

Artificial Intelligence–Driven Computational Approaches in the Development of Anticancer Drugs
Pankaj Garg, G. D. Singhal, Prakash Kulkarni, et al.
Cancers (2024) Vol. 16, Iss. 22, pp. 3884-3884
Open Access | Times Cited: 2

AttABseq: an attention-based deep learning prediction method for antigen–antibody binding affinity changes based on protein sequences
Ruofan Jin, Qing Ye, Jike Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 1

Current Trend and Performance Evaluation of Machine Learning Methods for Predicting Host-Pathogen Protein-Protein Interactions
Jerry Emmanuel, Itunuoluwa Isewon, Grace I. Olasehinde, et al.
(2024), pp. 1-14
Closed Access | Times Cited: 1

Artificial intelligence: Ways and means for central nervous system (CNS) delivery
Swayamprakash Patel, Krishi Patel, Ayush Patel
Elsevier eBooks (2024), pp. 325-348
Closed Access | Times Cited: 1

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