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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:

Introduction to digital pathology and computer-aided pathology
Soojeong Nam, Yosep Chong, Chan Kwon Jung, et al.
Journal of Pathology and Translational Medicine (2020) Vol. 54, Iss. 2, pp. 125-134
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Digital pathology and artificial intelligence in translational medicine and clinical practice
Vipul Baxi, Robin Edwards, Michael Montalto, et al.
Modern Pathology (2021) Vol. 35, Iss. 1, pp. 23-32
Open Access | Times Cited: 355
Artificial intelligence’s impact on breast cancer pathology: a literature review
Amr S. Soliman, Zaibo Li, Anil V. Parwani
Diagnostic Pathology (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 17
The current landscape of artificial intelligence in oral and maxillofacial surgery– a narrative review
Rushil R. Dang, Balram Kadaikal, Sam El Abbadi, et al.
Oral and Maxillofacial Surgery (2025) Vol. 29, Iss. 1
Closed Access | Times Cited: 1
The challenges of colposcopy for cervical cancer screening in LMICs and solutions by artificial intelligence
Peng Xue, Man Tat Alexander Ng, You‐Lin Qiao
BMC Medicine (2020) Vol. 18, Iss. 1
Open Access | Times Cited: 124
A bird’s-eye view of deep learning in bioimage analysis
Erik Meijering
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 2312-2325
Open Access | Times Cited: 115
Mass spectrometry imaging to explore molecular heterogeneity in cell culture
Tanja Bien, Krischan Koerfer, Jan Schwenzfeier, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 29
Open Access | Times Cited: 49
An Atrous Convolved Hybrid Seg-Net Model with residual and attention mechanism for gland detection and segmentation in histopathological images
Manju Dabass, Jyoti Dabass
Computers in Biology and Medicine (2023) Vol. 155, pp. 106690-106690
Closed Access | Times Cited: 22
Ensemble Deep Learning Model to Predict Lymphovascular Invasion in Gastric Cancer
Jonghyun Lee, Seunghyun Cha, Jiwon Kim, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 430-430
Open Access | Times Cited: 10
Artificial Intelligence-Enabled Prostate Cancer Diagnosis and Prognosis: Current State and Future Implications
Swati Satturwar, Anil V. Parwani
Advances in Anatomic Pathology (2024) Vol. 31, Iss. 2, pp. 136-144
Closed Access | Times Cited: 9
Current Trends of Artificial Intelligence for Colorectal Cancer Pathology Image Analysis: A Systematic Review
Nishant Thakur, Hong‐Jun Yoon, Yosep Chong
Cancers (2020) Vol. 12, Iss. 7, pp. 1884-1884
Open Access | Times Cited: 63
Integrating artificial intelligence in pathology: a qualitative interview study of users' experiences and expectations
Jojanneke Drogt, Megan Milota, Shoko Vos, et al.
Modern Pathology (2022) Vol. 35, Iss. 11, pp. 1540-1550
Open Access | Times Cited: 33
Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape
Muhammad Joan Ailia, Nishant Thakur, Jamshid Abdul‐Ghafar, et al.
Cancers (2022) Vol. 14, Iss. 10, pp. 2400-2400
Open Access | Times Cited: 32
Digital Pathology and Artificial Intelligence Applications in Pathology
Heounjeong Go
Brain Tumor Research and Treatment (2022) Vol. 10, Iss. 2, pp. 76-76
Open Access | Times Cited: 29
Recent Applications of Artificial Intelligence from Histopathologic Image-Based Prediction of Microsatellite Instability in Solid Cancers: A Systematic Review
Rizwan Alam, Jamshid Abdul‐Ghafar, Kwangil Yim, et al.
Cancers (2022) Vol. 14, Iss. 11, pp. 2590-2590
Open Access | Times Cited: 27
Digitization of Pathology Labs: A Review of Lessons Learned
Lars Ole Schwen, Tim‐Rasmus Kiehl, Rita Carvalho, et al.
Laboratory Investigation (2023) Vol. 103, Iss. 11, pp. 100244-100244
Open Access | Times Cited: 17
Automated Analysis of Nuclear Parameters in Oral Exfoliative Cytology Using Machine Learning
Shubhangi Mhaske, Karthikeyan Ramalingam, Preeti Nair, et al.
Cureus (2024)
Open Access | Times Cited: 6
Current Developments in Diagnosis of Salivary Gland Tumors: From Structure to Artificial Intelligence
Alexandra Corina Faur, Roxana Buzaș, Adrian Emil Lăzărescu, et al.
Life (2024) Vol. 14, Iss. 6, pp. 727-727
Open Access | Times Cited: 5
Assessing the quality of whole slide images in cytology from nuclei features
Paul Barthe, Romain Brixtel, Yann Caillot, et al.
Journal of Pathology Informatics (2025) Vol. 17, pp. 100420-100420
Open Access
An update on applications of digital pathology: primary diagnosis; telepathology, education and research
Shamail Zia, Isil Z. Yildiz-Aktas, Fazail Zia, et al.
Diagnostic Pathology (2025) Vol. 20, Iss. 1
Open 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 self-supervised contrastive learning approach for whole slide image representation in digital pathology
Parsa Ashrafi Fashi, Sobhan Hemati, Morteza Babaie, et al.
Journal of Pathology Informatics (2022) Vol. 13, pp. 100133-100133
Open Access | Times Cited: 22
Diagnosing Infectious Diseases in Poultry Requires a Holistic Approach: A Review
Dieter Liebhart, Ivana Bilić, Beatrice Grafl, et al.
Poultry (2023) Vol. 2, Iss. 2, pp. 252-280
Open Access | Times Cited: 12
Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images
Marco Fragoso‐Garcia, Frauke Wilm, Christof Bertram, et al.
Veterinary Pathology (2023) Vol. 60, Iss. 6, pp. 865-875
Open Access | Times Cited: 12
An SVM approach towards breast cancer classification from H&E-stained histopathology images based on integrated features
M Aswathy, M. Jagannath
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 9, pp. 1773-1783
Closed Access | Times Cited: 30
Applied machine learning in hematopathology
Taher Dehkharghanian, Youqing Mu, Hamid R. Tizhoosh, et al.
International Journal of Laboratory Hematology (2023) Vol. 45, Iss. S2, pp. 87-94
Open Access | Times Cited: 10
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