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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:

Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
Ahsan Bin Tufail, Yongkui Ma, Mohammed K. A. Kaabar, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-28
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

Intelligent Hybrid Deep Learning Model for Breast Cancer Detection
Xiaomei Wang, Ijaz Ahmad, Danish Javeed, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2767-2767
Open Access | Times Cited: 81
Brain Tumor Classification Using Meta-Heuristic Optimized Convolutional Neural Networks
Sarah Zuhair Kurdi, Mohammed Hasan Ali, Mustafa Musa Jaber, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 2, pp. 181-181
Open Access | Times Cited: 80
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: 71
AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions
Navneet Vinod Melarkode, Kathiravan Srinivasan, Saeed Mian Qaisar, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1183-1183
Open Access | Times Cited: 64
A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification
Abrar Yaqoob, Rabia Musheer Aziz, Navneet Kumar Verma, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1081-1081
Open Access | Times Cited: 57
A Novel Framework for Classification of Different Alzheimer’s Disease Stages Using CNN Model
Gowhar Mohi ud din dar, Avinash Bhagat, Syed Immamul Ansarullah, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 469-469
Open Access | Times Cited: 53
Deep learning in ovarian cancer diagnosis: a comprehensive review of various imaging modalities
Mohammad Hossein Sadeghi, Sedigheh Sina, Hamid Omidi, et al.
Polish Journal of Radiology (2024) Vol. 89, pp. 30-48
Open Access | Times Cited: 16
Automatic Classification of Melanoma Skin Cancer with Deep Convolutional Neural Networks
Khalil Aljohani, Turki Turki
AI (2022) Vol. 3, Iss. 2, pp. 512-525
Open Access | Times Cited: 53
Machine Learning and Deep Learning Applications in Multiple Myeloma Diagnosis, Prognosis, and Treatment Selection
Alessandro Allegra, Alessandro Tonacci, Raffaele Sciaccotta, et al.
Cancers (2022) Vol. 14, Iss. 3, pp. 606-606
Open Access | Times Cited: 50
Early-Stage Alzheimer’s Disease Categorization Using PET Neuroimaging Modality and Convolutional Neural Networks in the 2D and 3D Domains
Ahsan Bin Tufail, Nazish Anwar, Mohamed Tahar Ben Othman, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4609-4609
Open Access | Times Cited: 43
Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models
Malliga Subramanian, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy, et al.
IEEE Access (2023) Vol. 11, pp. 10336-10354
Open Access | Times Cited: 35
Cancer detection and segmentation using machine learning and deep learning techniques: a review
Hari Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27001-27035
Closed Access | Times Cited: 33
Trends in using deep learning algorithms in biomedical prediction systems
Yanbu Wang, Linqing Liu, Chao Wang
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 33
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
Machine learning and deep learning predictive models for long-term prognosis in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis
Luke Smith, Lauren Oakden‐Rayner, Alix Bird, et al.
The Lancet Digital Health (2023) Vol. 5, Iss. 12, pp. e872-e881
Open Access | Times Cited: 29
Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm
Panagiotis G. Asteris, Amir H. Gandomi, Danial Jahed Armaghani, et al.
European Journal of Internal Medicine (2024) Vol. 125, pp. 67-73
Closed Access | Times Cited: 10
PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis
L. K. Li, Hudan Pan, Yong Liang, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111502-111502
Closed Access | Times Cited: 8
Towards unbiased skin cancer classification using deep feature fusion
Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Innovative laboratory techniques shaping cancer diagnosis and treatment in developing countries
Azeez Okikiola Lawal, Tolulope Joseph Ogunniyi, Oriire Idunnuoluwa Oludele, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples
Ahsan Bin Tufail, Inam Ullah, Wali Ullah Khan, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 50
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: 37
Lung Nodules Localization and Report Analysis from Computerized Tomography (CT) Scan Using a Novel Machine Learning Approach
Inayatul Haq, Tehseen Mazhar, Muhammad Amir Malik, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12614-12614
Open Access | Times Cited: 34
Rise of Deep Learning Clinical Applications and Challenges in Omics Data: A Systematic Review
Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Ahmed M. Dinar, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 664-664
Open Access | Times Cited: 21
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 21
A Hybrid Deep Learning Framework with Decision-Level Fusion for Breast Cancer Survival Prediction
Nermin Abdelhakim Othman, Manal A. Abdel-Fattah, Ahlam Talaat Ali
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 50-50
Open Access | Times Cited: 19
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