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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:

Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
Esther Abels, Liron Pantanowitz, Famke Aeffner, et al.
The Journal of Pathology (2019) Vol. 249, Iss. 3, pp. 286-294
Open Access | Times Cited: 350

Showing 1-25 of 350 citing articles:

Deep learning in histopathology: the path to the clinic
Jeroen van der Laak, Geert Litjens, Francesco Ciompi
Nature Medicine (2021) Vol. 27, Iss. 5, pp. 775-784
Open Access | Times Cited: 587
AI applications to medical images: From machine learning to deep learning
Isabella Castiglioni, Leonardo Rundo, Marina Codari, et al.
Physica Medica (2021) Vol. 83, pp. 9-24
Open Access | Times Cited: 473
Artificial intelligence and computational pathology
Miao Cui, David Y. Zhang
Laboratory Investigation (2021) Vol. 101, Iss. 4, pp. 412-422
Open Access | Times Cited: 389
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: 354
Artificial intelligence (AI) and big data in cancer and precision oncology
Zodwa Dlamini, Flavia Zita Francies, Rodney Hull, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 2300-2311
Open Access | Times Cited: 248
Digital Pathology: Advantages, Limitations and Emerging Perspectives
Stephan Jahn, Markus Plass, Farid Moinfar
Journal of Clinical Medicine (2020) Vol. 9, Iss. 11, pp. 3697-3697
Open Access | Times Cited: 233
Digital pathology and computational image analysis in nephropathology
Laura Barisoni, Kyle Lafata, Stephen M. Hewitt, et al.
Nature Reviews Nephrology (2020) Vol. 16, Iss. 11, pp. 669-685
Open Access | Times Cited: 203
The 2019 Genitourinary Pathology Society (GUPS) White Paper on Contemporary Grading of Prostate Cancer
Jonathan I. Epstein, Mahul B. Amin, Samson W. Fine, et al.
Archives of Pathology & Laboratory Medicine (2020) Vol. 145, Iss. 4, pp. 461-493
Open Access | Times Cited: 201
A Graph-Transformer for Whole Slide Image Classification
Yi Zheng, Rushin Gindra, Emily J. Green, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 11, pp. 3003-3015
Open Access | Times Cited: 112
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 78
Artificial intelligence for digital and computational pathology
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, et al.
Nature Reviews Bioengineering (2023) Vol. 1, Iss. 12, pp. 930-949
Closed Access | Times Cited: 78
High-plex immunofluorescence imaging and traditional histology of the same tissue section for discovering image-based biomarkers
Jia‐Ren Lin, Chen Yuan, Daniel Campton, et al.
Nature Cancer (2023) Vol. 4, Iss. 7, pp. 1036-1052
Open Access | Times Cited: 71
Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
M. Álvaro Berbís, David S. McClintock, Andrey Bychkov, et al.
EBioMedicine (2023) Vol. 88, pp. 104427-104427
Open Access | Times Cited: 58
Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images
Zhi Huang, Wei Shao, Zhi Han, et al.
npj Precision Oncology (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 47
A foundation model for clinical-grade computational pathology and rare cancers detection
Eugene Vorontsov, Alican Bozkurt, Adam Casson, et al.
Nature Medicine (2024) Vol. 30, Iss. 10, pp. 2924-2935
Open Access | Times Cited: 40
Computational Pathology: A Survey Review and The Way Forward
Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc‐Huy Trinh, et al.
Journal of Pathology Informatics (2024), pp. 100357-100357
Open Access | Times Cited: 31
Assessment of Pathology Domain-Specific Knowledge of ChatGPT and Comparison to Human Performance
Andrew Y. Wang, Sherman Lin, Christopher Tran, et al.
Archives of Pathology & Laboratory Medicine (2024) Vol. 148, Iss. 10, pp. 1152-1158
Open Access | Times Cited: 23
Standardizing digital biobanks: integrating imaging, genomic, and clinical data for precision medicine
Valentina Brancato, Giuseppina Esposito, Luigi Coppola, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 22
Pros and cons of artificial intelligence implementation in diagnostic pathology
P. J. van Diest, Rachel N Flach, Carmen van Dooijeweert, et al.
Histopathology (2024) Vol. 84, Iss. 6, pp. 924-934
Open Access | Times Cited: 14
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
Current and future applications of artificial intelligence in pathology: a clinical perspective
Emad A. Rakha, Michael S. Toss, Sho Shiino, et al.
Journal of Clinical Pathology (2020) Vol. 74, Iss. 7, pp. 409-414
Open Access | Times Cited: 87
Next generation diagnostic pathology: use of digital pathology and artificial intelligence tools to augment a pathological diagnosis
Anil V. Parwani
Diagnostic Pathology (2019) Vol. 14, Iss. 1
Open Access | Times Cited: 86
Artificial intelligence-based pathology for gastrointestinal and hepatobiliary cancers
Julien Caldéraro, Jakob Nikolas Kather
Gut (2020) Vol. 70, Iss. 6, pp. 1183-1193
Closed Access | Times Cited: 82
Biopsy-free in vivo virtual histology of skin using deep learning
Jingxi Li, Jason Garfinkel, Xiaoran Zhang, et al.
Light Science & Applications (2021) Vol. 10, Iss. 1
Open Access | Times Cited: 70
Automated bone marrow cytology using deep learning to generate a histogram of cell types
Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian, et al.
Communications Medicine (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 65
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