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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:

A review of deep learning applications in human genomics using next-generation sequencing data
W. Alharbi, Mamoon Rashid
Human Genomics (2022) Vol. 16, Iss. 1
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Towards Generalist Biomedical AI
Tao Tu, Shekoofeh Azizi, Danny Driess, et al.
NEJM AI (2024) Vol. 1, Iss. 3
Open Access | Times Cited: 154
Next-Generation TB Vaccines: Progress, Challenges, and Prospects
Zhuang Li, Zhaoyang Ye, Linsheng Li, et al.
Vaccines (2023) Vol. 11, Iss. 8, pp. 1304-1304
Open Access | Times Cited: 59
Toward Explainable Artificial Intelligence for Precision Pathology
Frederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
Annual Review of Pathology Mechanisms of Disease (2023) Vol. 19, Iss. 1, pp. 541-570
Open Access | Times Cited: 55
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
Manasvi Singh, Ashish Kumar, Narendra N. Khanna, et al.
EClinicalMedicine (2024) Vol. 73, pp. 102660-102660
Open Access | Times Cited: 34
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data
Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 30
Applications of artificial intelligence in clinical laboratory genomics
Swaroop Aradhya, Flavia M. Facio, Hillery C. Metz, et al.
American Journal of Medical Genetics Part C Seminars in Medical Genetics (2023) Vol. 193, Iss. 3
Open Access | Times Cited: 29
A Comprehensive Survey on Load Forecasting Hybrid Models: Navigating the Futuristic Demand Response Patterns through Experts and Intelligent Systems
Kinza Fida, Usman Abbasi, Muhammad Adnan, et al.
Results in Engineering (2024) Vol. 23, pp. 102773-102773
Open Access | Times Cited: 13
An overview of artificial intelligence in the field of genomics
Khizra Maqsood, Hani Hagras, Nicolae Radu Zabet
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 11
How did we get there? AI applications to biological networks and sequences
Marco Anteghini, Francesco Gualdi, Baldo Oliva
Computers in Biology and Medicine (2025) Vol. 190, pp. 110064-110064
Open Access | Times Cited: 1
Leveraging deep learning to improve vaccine design
Andrew P. Hederman, Margaret E. Ackerman
Trends in Immunology (2023) Vol. 44, Iss. 5, pp. 333-344
Open Access | Times Cited: 19
Understanding gut microbiome‐based machine learning platforms: A review on therapeutic approaches using deep learning
Shilpa Malakar, Priya Sutaoney, Harishkumar Madhyastha, et al.
Chemical Biology & Drug Design (2024) Vol. 103, Iss. 3
Closed Access | Times Cited: 8
Multiomics-Based Feature Extraction and Selection for the Prediction of Lung Cancer Survival
Roman Jaksik, Kamila Szumała, Khanh N. Dinh, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 7, pp. 3661-3661
Open Access | Times Cited: 8
Effect of tokenization on transformers for biological sequences
Edo Dotan, Gal Jaschek, Tal Pupko, et al.
Bioinformatics (2024) Vol. 40, Iss. 4
Open Access | Times Cited: 8
Genome-Wide Association Study of Body Conformation Traits in Tashi Goats (Capra hircus)
Rong Yang, Di Zhou, Xiaoshan Tan, et al.
Animals (2024) Vol. 14, Iss. 8, pp. 1145-1145
Open Access | Times Cited: 6
Should AI-Powered Whole-Genome Sequencing Be Used Routinely for Personalized Decision Support in Surgical Oncology—A Scoping Review
Kokiladevi Alagarswamy, Wenjie Shi, Aishwarya Boini, et al.
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 1757-1772
Open Access | Times Cited: 5
Application of deep learning technique in next generation sequence experiments
Su Özgür, Mehmet Orman
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 13
LucaOne: Generalized Biological Foundation Model with Unified Nucleic Acid and Protein Language
Yong He, Pan Fang, Yongtao Shan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Differential analysis of alternative splicing events in gene regions using residual neural networks
Simone Ciccolella, Luca Denti, Jorge Avila Cartes, et al.
Neural Computing and Applications (2025)
Open Access
Advancements in Gene Structure Prediction: Innovation and Prospects of Deep Learning Models Apply in Multi-species
Tong Wang, H. J. Yang, Ting Xu, et al.
(2025) Vol. 1, Iss. 1, pp. 55-116
Closed Access
AI-driven digital pathology in urological cancers: current trends and future directions
Inyoung Paik, Geongyu Lee, Joon-Ho Lee, et al.
Prostate International (2025)
Open Access
A Scoping Review of Infrared Spectroscopy and Machine Learning Methods for Head and Neck Precancer and Cancer Diagnosis and Prognosis
Shahd A. Alajaji, Roya Sabzian, Yong Wang, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 796-796
Open Access
Leveraging Whole-Genome Resequencing to Uncover Genetic Diversity and Promote Conservation Strategies for Ruminants in Asia
Qinqian Wang, Ying Lü, Mengfei Li, et al.
Animals (2025) Vol. 15, Iss. 6, pp. 831-831
Open Access
Advances in next-generation sequencing (NGS) applications in drug discovery and development
Huihong Wang, Jiale Huang, Xianfu Fang, et al.
Expert Opinion on Drug Discovery (2025)
Closed Access
DPCIPI: A pre-trained deep learning model for predicting cross-immunity between drifted strains of Influenza A/H3N2
Yiming Du, Zhuotian Li, Qian He, et al.
Journal of Automation and Intelligence (2025)
Open Access
Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive Review
Jingjing Liu, Zhangdaihong Liu, Chang Liu, et al.
Diabetes/Metabolism Research and Reviews (2025) Vol. 41, Iss. 4
Open Access
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