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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:

Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies
Meyke Hermsen, Francesco Ciompi, Adeyemi Adefidipe, et al.
American Journal Of Pathology (2022) Vol. 192, Iss. 10, pp. 1418-1432
Open Access | Times Cited: 22

Showing 22 citing articles:

Next-Generation Morphometry for pathomics-data mining in histopathology
David L. Hölscher, Nassim Bouteldja, Mehdi Joodaki, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 67
The Banff 2022 Kidney Meeting Work Plan: Data-driven refinement of the Banff Classification for renal allografts
Candice Roufosse, Maarten Naesens, Mark Haas, et al.
American Journal of Transplantation (2023) Vol. 24, Iss. 3, pp. 350-361
Open Access | Times Cited: 27
Computer image analysis with artificial intelligence: a practical introduction to convolutional neural networks for medical professionals
G Kourounis, Ali Ahmed Elmahmudi, Brian Thomson, et al.
Postgraduate Medical Journal (2023) Vol. 99, Iss. 1178, pp. 1287-1294
Open Access | Times Cited: 17
Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions
Giorgio Cazzaniga, Mattia Rossi, Albino Eccher, et al.
Journal of Nephrology (2023) Vol. 37, Iss. 1, pp. 65-76
Open Access | Times Cited: 12
Will AI Replace Physicians? A Review of Artificial Intelligence Applications in Kidney Transplantation
Weijie Lai, Jianliang Min, Linjie Peng
Organ medicine. (2025)
Open Access
Artificial Intelligence Advances in Transplant Pathology
Md Arafatur Rahman, İbrahim Yılmaz, Sam Albadri, et al.
Bioengineering (2023) Vol. 10, Iss. 9, pp. 1041-1041
Open Access | Times Cited: 11
Spatial attention-based residual network for human burn identification and classification
Dhirendra Prasad Yadav, Turki Aljrees, Deepak Kumar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators
Xueyu Liu, Yongfei Wu, Yilin Chen, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107470-107470
Closed Access | Times Cited: 8
The Puzzle of Preimplantation Kidney Biopsy Decision-Making Process: The Pathologist Perspective
Albino Eccher, Jan U. Becker, Fabio Pagni, et al.
Life (2024) Vol. 14, Iss. 2, pp. 254-254
Open Access | Times Cited: 2
Unveiling Spatial Immune Cell Profile in Kidney Allograft Rejections Using 36-plex Immunofluorescence Imaging
Toshihito Hirai, Ayano Kondo, Tomokazu Shimizu, et al.
Transplantation (2024) Vol. 108, Iss. 12, pp. 2446-2457
Closed Access | Times Cited: 2
WARS1, TYMP and GBP1 display a distinctive microcirculation pattern by immunohistochemistry during antibody-mediated rejection in kidney transplantation
Bertrand Chauveau, Antoine Garric, Sylvaine Di-Tommaso, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 10
Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments
Alton B. Farris, Mariam P. Alexander, Ulysses J. Balis, et al.
Transplant International (2023) Vol. 36
Open Access | Times Cited: 5
The Microscope and Beyond: Current Trends in the Characterization of Kidney Allograft Rejection From Tissue Samples
Bertrand Chauveau, Lionel Couzi, Pierre Merville
Transplantation (2024)
Closed Access | Times Cited: 1
tRigon: an R package and Shiny App for integrative (path-)omics data analysis
David L. Hölscher, Michaël Goedertier, Barbara M. Klinkhammer, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Automated scoring of total inflammation in renal allograft biopsies
Byron H. Smith, Joseph P. Grande, Maggie Ryan, et al.
Clinical Transplantation (2022) Vol. 37, Iss. 1
Closed Access | Times Cited: 7
Mesangial Expansion by Morphometry at 5 y After Kidney Transplantation: Incidence, Risk Factors, and Association With Graft Loss
Aleksandar Đenić, Alessia Buglioni, Sándor Turkevi‐Nagy, et al.
Transplantation Direct (2024) Vol. 10, Iss. 7, pp. e1652-e1652
Open Access
Present and Future Applications of Artificial Intelligence in Kidney Transplantation
Evgenia Kotsifa, Vasileios Mavroeidis
Journal of Clinical Medicine (2024) Vol. 13, Iss. 19, pp. 5939-5939
Open Access
Künstliche Intelligenz in der Nierentransplantationspathologie
Roman D. Bülow, Yu-Chia Lan, Kerstin Amann, et al.
Deleted Journal (2024) Vol. 45, Iss. 4, pp. 277-283
Closed Access
Explainability of a Deep Learning-Based Classification Model for ANCA-Associated Glomerulonephritis
Maria A C Wester Trejo, Maryam Sadeghi, Shivam Singh, et al.
Kidney International Reports (2024)
Open Access
The New Landscape of Diagnostic Imaging with the Incorporation of Computer Vision
Manuel Cossio
Artificial intelligence (2023)
Open Access | Times Cited: 1
A Deep Learning–Based System Trained for Gastrointestinal Stromal Tumor Screening Can Identify Multiple Types of Soft Tissue Tumors
Meng Zhu, Guangxi Wang, Fei Su, et al.
American Journal Of Pathology (2023) Vol. 193, Iss. 7, pp. 899-912
Open Access | Times Cited: 1
Aktuelle Aspekte zur Diagnostik an Nierentransplantaten – „Banff and beyond“
Jan Hinrich Bräsen
Deleted Journal (2022) Vol. 43, Iss. S1, pp. 134-136
Closed Access | Times Cited: 1
Computational pathology for nephropathology
Roman D. Bülow
Trillium Pathology (2023), pp. 10-12
Closed Access
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