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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:

Incorporating Machine Learning into Established Bioinformatics Frameworks
Noam Auslander, Ayal B. Gussow, Eugene V. Koonin
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 6, pp. 2903-2903
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

JASPAR 2024: 20th anniversary of the open-access database of transcription factor binding profiles
Ieva Rauluševičiūtė, Rafael Riudavets Puig, Romain Blanc‐Mathieu, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D174-D182
Open Access | Times Cited: 331
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: 67
Deciphering sepsis: transforming diagnosis and treatment through systems immunology
Robert E. W. Hancock, Andy An, Claúdia C. dos Santos, et al.
Frontiers in Science (2025) Vol. 2
Open Access | Times Cited: 2
Integrating Machine Vision for Enhanced Biomedical Signal and Image Processing
Pawan Whig, Nikhitha Yathiraju, Anupriya Jain, et al.
Algorithms for intelligent systems (2025), pp. 89-116
Closed Access | Times Cited: 2
Employing active learning in the optimization of culture medium for mammalian cells
Takamasa Hashizume, Yuki Ozawa, Bei‐Wen Ying
npj Systems Biology and Applications (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 25
A Multi‐Input Molecular Classifier Based on Digital DNA Strand Displacement for Disease Diagnostics
Linghao Zhang, Huixiao Yang, Yumin Yan, et al.
Advanced Materials (2025)
Closed Access | Times Cited: 1
Advances in the Applications of Bioinformatics and Chemoinformatics
Mohamed A. Raslan, Sara A. Raslan, Eslam M. Shehata, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 7, pp. 1050-1050
Open Access | Times Cited: 18
New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics
Majid Mokhtari, Samane Khoshbakht, Kobra Ziyaei, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 7
Integration of the grey relational analysis with machine learning for sucrose anaerobic hydrogen production prediction
Xianze Wang, Yifan Wang, Yu-Yao Tseng, et al.
International Journal of Hydrogen Energy (2024) Vol. 68, pp. 388-397
Closed Access | Times Cited: 7
Automated classification of giant virus genomes using a random forest model built on trademark protein families
Anh D. Ha, Frank O. Aylward
npj Viruses (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 6
Machine learning and related approaches in transcriptomics
Yuning Cheng, Si-Mei Xu, Kristina Santucci, et al.
Biochemical and Biophysical Research Communications (2024) Vol. 724, pp. 150225-150225
Open Access | Times Cited: 6
Machine Learning for Causal Inference in Biological Networks: Perspectives of This Challenge
Paola Lecca
Frontiers in Bioinformatics (2021) Vol. 1
Open Access | Times Cited: 33
Virus genomics: what is being overlooked?
Kristopher Kieft, Karthik Anantharaman
Current Opinion in Virology (2022) Vol. 53, pp. 101200-101200
Open Access | Times Cited: 24
Leveraging artificial intelligence (AI) and machine learning (ML) for enhanced drug discovery and development from microbes
Vaibhav Mishra, Sandeep K. Mishra, Akanksha Srivastava, et al.
Methods in microbiology (2024), pp. 125-140
Closed Access | Times Cited: 5
Predicting protein phosphorylation sites in soybean using interpretable deep tabular learning network
Elham Khalili, Shahin Ramazi, Faezeh Ghanati, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 19
AI-driven microbial medicine development
Komal Dharmani, Anjana Sinha, Navaneet Chaturvedi
Methods in microbiology (2024), pp. 101-124
Closed Access | Times Cited: 4
Automated Machine Learning in Bioinformatics
Pushpendra Kumar, Gagan Thakral, Vivek Kumar, et al.
(2025), pp. 13-31
Closed Access
Popfinder: A Highly Effective Artificial Neural Network Package for Genetic Population Assignment
Karen Birchard, Chris Boccia, Heather Lounder, et al.
Molecular Ecology Resources (2025)
Open Access
Evaluation of Posts by Bioinformatics Code Developers on Stack Overflow Platform: Topic Modeling and Community Detection
Gülbahar Merve Şilbir
Journal of Polytechnic (2025), pp. 1-1
Open Access
Matrix reconstruction with reliable neighbors for predicting potential MiRNA–disease associations
Hailin Feng, Dongdong Jin, Jian Li, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 18
Structural interaction fingerprints and machine learning for predicting and explaining binding of small molecule ligands to RNA
Natalia A. Szulc, Zuzanna Mackiewicz, Janusz M. Bujnicki, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 10
Epigenetic characterization of sarcopenia-associated genes based on machine learning and network screening
Yong Chen, Zhenyu Zhang, Xiaolan Hu, et al.
European journal of medical research (2024) Vol. 29, Iss. 1
Open Access | Times Cited: 3
Identification of potential biomarkers for atrial fibrillation and stable coronary artery disease based on WGCNA and machine algorithms
Ke Wu, Hao Chen, Fan Li, et al.
BMC Cardiovascular Disorders (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Bioinformatics combining machine learning and single-cell sequencing analysis to identify common mechanisms and biomarkers of rheumatoid arthritis and ischemic heart failure
Ziyi Sun, Jianguo Lin, Xiaoning Sun, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41641-e41641
Open Access
VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction
Jing Li, Zhongpeng Zhao, Chengzheng Tai, et al.
Briefings in Functional Genomics (2025) Vol. 24
Open Access
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