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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 Survey of Data Mining and Deep Learning in Bioinformatics
Kun Lan, Dantong Wang, Simon Fong, et al.
Journal of Medical Systems (2018) Vol. 42, Iss. 8
Closed Access | Times Cited: 267

Showing 1-25 of 267 citing articles:

Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
Shigao Huang, Jie Yang, Simon Fong, et al.
Cancer Letters (2019) Vol. 471, pp. 61-71
Open Access | Times Cited: 497
Seven HCI Grand Challenges
Constantine Stephanidis, Gavriel Salvendy, Margherita Antona, et al.
International Journal of Human-Computer Interaction (2019) Vol. 35, Iss. 14, pp. 1229-1269
Open Access | Times Cited: 416
Deep-learning framework to detect lung abnormality – A study with chest X-Ray and lung CT scan images
Abhir Bhandary, G. Ananth Prabhu, V. Rajinikanth, et al.
Pattern Recognition Letters (2019) Vol. 129, pp. 271-278
Open Access | Times Cited: 375
Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art
Gitanjali R. Shinde, Asmita Balasaheb Kalamkar, Parikshit N. Mahalle, et al.
SN Computer Science (2020) Vol. 1, Iss. 4
Open Access | Times Cited: 291
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues
Shahab S. Band, Mahdis Fathi, Abdollah Dehzangi, et al.
Journal of Biomedical Informatics (2020) Vol. 113, pp. 103627-103627
Closed Access | Times Cited: 249
COVID-19 open source data sets: a comprehensive survey
Junaid Shuja, Eisa Alanazi, Waleed Alasmary, et al.
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1296-1325
Open Access | Times Cited: 210
Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning
Aditya Khamparia, Deepak Gupta, Victor Hugo C. de Albuquerque, et al.
The Journal of Supercomputing (2020) Vol. 76, Iss. 11, pp. 8590-8608
Closed Access | Times Cited: 184
Medical deep learning—A systematic meta-review
Jan Egger, Christina Gsaxner, Antonio Pepe, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106874-106874
Open Access | Times Cited: 176
Artificial Intelligence in Healthcare: Review, Ethics, Trust Challenges & Future Research Directions
Pranjal Kumar, Siddhartha Chauhan, Lalit Kumar Awasthi
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105894-105894
Closed Access | Times Cited: 116
Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective
Muhammad Sufyan, Zeeshan Shokat, Usman Ali Ashfaq
Computers in Biology and Medicine (2023) Vol. 165, pp. 107356-107356
Closed Access | Times Cited: 75
Explainable Artificial Intelligence for Sustainable Urban Water Systems Engineering
Shofia Saghya Infant, A.S. Vickram, A. Saravanan, et al.
Results in Engineering (2025), pp. 104349-104349
Open Access | Times Cited: 2
Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis
Ritu Gautam, Manik Sharma
Journal of Medical Systems (2020) Vol. 44, Iss. 2
Closed Access | Times Cited: 135
A Survey on Multimodal Data-Driven Smart Healthcare Systems: Approaches and Applications
Qiong Cai, Hao Wang, Zhenmin Li, et al.
IEEE Access (2019) Vol. 7, pp. 133583-133599
Open Access | Times Cited: 128
Artificial intelligence in gastric cancer: Application and future perspectives
Penghui Niu, Lulu Zhao, Hongliang Wu, et al.
World Journal of Gastroenterology (2020) Vol. 26, Iss. 36, pp. 5408-5419
Open Access | Times Cited: 99
A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans
Samriti Sharma, Gurvinder Singh, Manik Sharma
Computers in Biology and Medicine (2021) Vol. 134, pp. 104450-104450
Closed Access | Times Cited: 96
Adam Deep Learning With SOM for Human Sentiment Classification
Md. Nawab Yousuf Ali, Md. Golam Sarowar, Md. Lizur Rahman, et al.
International Journal of Ambient Computing and Intelligence (2019) Vol. 10, Iss. 3, pp. 92-116
Open Access | Times Cited: 77
Deep learning for heterogeneous medical data analysis
Lin Yue, Dongyuan Tian, Weitong Chen, et al.
World Wide Web (2020) Vol. 23, Iss. 5, pp. 2715-2737
Closed Access | Times Cited: 73
AI and Big Data in Healthcare: Towards a More Comprehensive Research Framework for Multimorbidity
Ljiljana Trtica Majnarić, František Babič, Shane O’Sullivan, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 4, pp. 766-766
Open Access | Times Cited: 65
PreDTIs: prediction of drug–target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques
Saifuddin Mahmud, Wenyu Chen, Yongsheng Liu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Open Access | Times Cited: 61
Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study
Negin Manshouri
Cognitive Neurodynamics (2021) Vol. 16, Iss. 1, pp. 239-253
Open Access | Times Cited: 57
Prediction of Student Academic Performance Using a Hybrid 2D CNN Model
Sujan Poudyal, Mahnas Mohammadi-Aragh, John Ball
Electronics (2022) Vol. 11, Iss. 7, pp. 1005-1005
Open Access | Times Cited: 46
Microbial Dark Matter: From Discovery to Applications
Yuguo Zha, Hui Chong, Pengshuo Yang, et al.
Genomics Proteomics & Bioinformatics (2022) Vol. 20, Iss. 5, pp. 867-881
Open Access | Times Cited: 39
GeneViT: Gene Vision Transformer with Improved DeepInsight for cancer classification
Madhuri Gokhale, Sraban Kumar Mohanty, Aparajita Ojha
Computers in Biology and Medicine (2023) Vol. 155, pp. 106643-106643
Closed Access | Times Cited: 31
Biomarkers of aging in frailty and age-associated disorders: State of the art and future perspective
Stefano Salvioli, Maria Sofia Basile, Leonardo Bencivenga, et al.
Ageing Research Reviews (2023) Vol. 91, pp. 102044-102044
Open Access | Times Cited: 31
Deep Learning: Current and Emerging Applications in Medicine and Technology
Altug Akay, Henry Hess
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 23, Iss. 3, pp. 906-920
Closed Access | Times Cited: 75
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