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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:

Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions
Huaming Chen, Fuyi Li, Lei Wang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

iLearnPlus:a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
Zhen Chen, Pei Zhao, Chen Li, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. 10, pp. e60-e60
Open Access | Times Cited: 195
Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions
Ashwin Dhakal, Cole McKay, John J. Tanner, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 160
Leveraging artificial intelligence in the fight against infectious diseases
Felix Wong, César de la Fuente‐Núñez, James J. Collins
Science (2023) Vol. 381, Iss. 6654, pp. 164-170
Open Access | Times Cited: 147
Holistic One Health Surveillance Framework: Synergizing Environmental, Animal, and Human Determinants for Enhanced Infectious Disease Management
Samradhi Singh, Poonam Sharma, Namrata Pal, et al.
ACS Infectious Diseases (2024) Vol. 10, Iss. 3, pp. 808-826
Closed Access | Times Cited: 16
Learning spatial structures of proteins improves protein–protein interaction prediction
Bosheng Song, Xiaoyan Luo, Xiaoli Luo, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 85
Positive-unlabeled learning in bioinformatics and computational biology: a brief review
Fuyi Li, Shuangyu Dong, André Leier, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 56
Machine learning on protein–protein interaction prediction: models, challenges and trends
Tao Tang, Xiaocai Zhang, Yuansheng Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 39
Immune infiltration profiling in gastric cancer and their clinical implications
Feifei Ren, Qitai Zhao, Minghai Zhao, et al.
Cancer Science (2021) Vol. 112, Iss. 9, pp. 3569-3584
Open Access | Times Cited: 52
NmRF: identification of multispecies RNA 2’-O-methylation modification sites from RNA sequences
Chunyan Ao, Quan Zou, Liang Yu
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 45
Emerging and reemerging infectious diseases: global trends and new strategies for their prevention and control
Shen Wang, Wujian Li, Zhenshan Wang, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 7
Single-cell Hi-C data analysis: safety in numbers
Aleksandra A. Galitsyna, Mikhail S. Gelfand
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 40
Artificial intelligence approaches to human-microbiome protein–protein interactions
Hansaim Lim, Fatma Cankara, Chung‐Jung Tsai, et al.
Current Opinion in Structural Biology (2022) Vol. 73, pp. 102328-102328
Open Access | Times Cited: 23
CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder
Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Ali Ibrahim, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108538-108538
Closed Access | Times Cited: 5
Machine Learning-based Host–Pathogen Protein–Protein Interaction Prediction
Erdem Türk, Onur Can Karabulut, Al-shaima Khaled Abdullah Al-alie, et al.
Current Clinical Microbiology Reports (2025) Vol. 12, Iss. 1
Closed Access
Prediction of Protein-Protein Interaction based on Interaction-Specific Learning and Hierarchical Information
Tao Tang, Tzu-Fang Shen, Jing Jiang, et al.
(2025)
Closed Access
High-throughput Interpretation of Killer-cell Immunoglobulin-like Receptor Short-read Sequencing Data with PING
Wesley M. Marin, Ravi Dandekar, Danillo G. Augusto, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 8, pp. e1008904-e1008904
Open Access | Times Cited: 30
Exploring Healthcare and Public Health Implications via Temporal Analysis of Human–Virus Interactions Leveraging Adversarial Networks and Saliency Maps
N Srivastava, Logesh Ravi, Malathi Devarajan, et al.
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access
Prediction and Evaluation of Coronavirus and Human Protein–Protein Interactions Integrating Five Different Computational Methods
Binghua Li, Xiaoyu Li, Xian Tang, et al.
Proteins Structure Function and Bioinformatics (2025)
Closed Access
Pretraining model for biological sequence data
Bosheng Song, Zimeng Li, Xuan Lin, et al.
Briefings in Functional Genomics (2021) Vol. 20, Iss. 3, pp. 181-195
Open Access | Times Cited: 26
Identification and Validation of IFI44 as Key Biomarker in Lupus Nephritis
Lingling Shen, Lan Lan, Tingting Zhu, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 25
DeepStack-DTIs: Predicting Drug–Target Interactions Using LightGBM Feature Selection and Deep-Stacked Ensemble Classifier
Yan Zhang, Zhiwen Jiang, Cheng Chen, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 14, Iss. 2, pp. 311-330
Closed Access | Times Cited: 25
NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction
Ju Xiang, Jiashuai Zhang, Ruiqing Zheng, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 24
Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2
Balachandran Manavalan, Shaherin Basith, Gwang Lee
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 24
Graph Neural Network for Protein–Protein Interaction Prediction: A Comparative Study
Hang Zhou, Weikun Wang, Jiayun Jin, et al.
Molecules (2022) Vol. 27, Iss. 18, pp. 6135-6135
Open Access | Times Cited: 17
Using machine learning to predict protein–protein interactions between a zombie ant fungus and its carpenter ant host
Ian Will, William C. Beckerson, Charissa de Bekker
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
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