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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:

Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine
Ryuji Hamamoto, Kruthi Suvarna, Masayoshi Yamada, et al.
Cancers (2020) Vol. 12, Iss. 12, pp. 3532-3532
Open Access | Times Cited: 155

Showing 1-25 of 155 citing articles:

Using machine learning approaches for multi-omics data analysis: A review
Parminder Singh Reel, Smarti Reel, Ewan R. Pearson, et al.
Biotechnology Advances (2021) Vol. 49, pp. 107739-107739
Open Access | Times Cited: 500
Artificial intelligence for clinical oncology
Benjamin H. Kann, Ahmed Hosny, Hugo J.W.L. Aerts
Cancer Cell (2021) Vol. 39, Iss. 7, pp. 916-927
Open Access | Times Cited: 220
Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data
Laith Alzubaidi, Muthana Al‐Amidie, Ahmed Al‐Asadi, et al.
Cancers (2021) Vol. 13, Iss. 7, pp. 1590-1590
Open Access | Times Cited: 206
Multi-Disease Prediction Based on Deep Learning: A Survey
Shuxuan Xie, Zengchen Yu, Zhihan Lv
Computer Modeling in Engineering & Sciences (2021) Vol. 128, Iss. 2, pp. 489-522
Open Access | Times Cited: 184
Artificial intelligence in oncology: current applications and future perspectives
Claudio Luchini, Antonio Pea, Aldo Scarpa
British Journal of Cancer (2021) Vol. 126, Iss. 1, pp. 4-9
Open Access | Times Cited: 155
Machine learning in the prediction of cancer therapy
Raihan Rafique, S. M. Riazul Islam, Julhash U. Kazi
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4003-4017
Open Access | Times Cited: 117
Applications of machine learning techniques for enhancing nondestructive food quality and safety detection
Yuandong Lin, Ji Ma, Qijun Wang, et al.
Critical Reviews in Food Science and Nutrition (2022) Vol. 63, Iss. 12, pp. 1649-1669
Closed Access | Times Cited: 95
Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies
Pritee Chunarkar Patil, Mohammed Kaleem, Richa Mishra, et al.
Biomedicines (2024) Vol. 12, Iss. 1, pp. 201-201
Open Access | Times Cited: 71
MobileNetV1-Based Deep Learning Model for Accurate Brain Tumor Classification
Maad M. Mijwil, Ruchi Doshi, Kamal Kant Hiran, et al.
Mesopotamian Journal of Computer Science (2023), pp. 32-41
Open Access | Times Cited: 58
The Evolution of Administrative Information Systems: Assessing the Revolutionary Impact of Artificial Intelligence
Noor.Z. Mahmood, Saadaldeen Rashid Ahmed, Ali Faiek Al-Hayaly, et al.
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2023), pp. 1-7
Closed Access | Times Cited: 41
Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine
Wafae Abbaoui, Sara Retal, Brahim El Bhiri, et al.
Informatics in Medicine Unlocked (2024) Vol. 46, pp. 101475-101475
Open Access | Times Cited: 24
Employing nano-enabled artificial intelligence (AI)-based smart technologies for prediction, screening, and detection of cancer
Vibhas Chugh, Adreeja Basu, Ajeet Kaushik, et al.
Nanoscale (2024) Vol. 16, Iss. 11, pp. 5458-5486
Closed Access | Times Cited: 15
Is artificial intelligence technology innovation a recipe for low-carbon energy transition? A global perspective
Senmiao Yang, Jianda Wang, Kangyin Dong, et al.
Energy (2024) Vol. 300, pp. 131539-131539
Closed Access | Times Cited: 14
Harnessing the Power of Artificial Intelligence in Pharmaceuticals: Current Trends and Future Prospects
Saha Aritra, Indu Singh
Intelligent Pharmacy (2025)
Open Access | Times Cited: 1
Detection of Cardiac Structural Abnormalities in Fetal Ultrasound Videos Using Deep Learning
Masaaki Komatsu, Akira Sakai, Reina Komatsu, et al.
Applied Sciences (2021) Vol. 11, Iss. 1, pp. 371-371
Open Access | Times Cited: 98
Towards Clinical Application of Artificial Intelligence in Ultrasound Imaging
Masaaki Komatsu, Akira Sakai, Ai Dozen, et al.
Biomedicines (2021) Vol. 9, Iss. 7, pp. 720-720
Open Access | Times Cited: 76
Popular deep learning algorithms for disease prediction: a review
Zengchen Yu, Ke Wang, Zhibo Wan, et al.
Cluster Computing (2022) Vol. 26, Iss. 2, pp. 1231-1251
Open Access | Times Cited: 59
Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening
Akira Sakai, Masaaki Komatsu, Reina Komatsu, et al.
Biomedicines (2022) Vol. 10, Iss. 3, pp. 551-551
Open Access | Times Cited: 48
Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer
Hang Qiu, Shuhan Ding, Jianbo Liu, et al.
Current Oncology (2022) Vol. 29, Iss. 3, pp. 1773-1795
Open Access | Times Cited: 46
AI and the falling sky: interrogating X-Risk
Nancy S. Jecker, Caesar Alimsinya Atuire, Jean‐Christophe Bélisle‐Pipon, et al.
Journal of Medical Ethics (2024), pp. jme-109702
Open Access | Times Cited: 12
Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review
Satoshi Takahashi, Yusuke Sakaguchi, Nobuji Kouno, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 12
An automated skin melanoma detection system with melanoma-index based on entropy features
Kang Hao Cheong, Kenneth Jian Wei Tang, Xinxing Zhao, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 3, pp. 997-1012
Closed Access | Times Cited: 48
Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy
Yu Takahashi, Kenbun Sone, Katsuhiko Noda, et al.
PLoS ONE (2021) Vol. 16, Iss. 3, pp. e0248526-e0248526
Open Access | Times Cited: 44
Artificial Intelligence: The Milestone in Modern Biomedical Research
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos, et al.
BioMedInformatics (2022) Vol. 2, Iss. 4, pp. 727-744
Open Access | Times Cited: 36
An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study
María Torrente, Pedro Sousa, Roberto Hernández, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 4041-4041
Open Access | Times Cited: 29
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