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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:

Machine learning in computational histopathology: Challenges and opportunities
Michael Cooper, Zongliang Ji, Rahul G. Krishnan
Genes Chromosomes and Cancer (2023) Vol. 62, Iss. 9, pp. 540-556
Open Access | Times Cited: 22

Showing 22 citing articles:

Towards a general-purpose foundation model for computational pathology
Richard J. Chen, Tong Ding, Ming Y. Lu, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 850-862
Open Access | Times Cited: 169
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
Transfer Learning from Non-Medical Images to Medical Images Using Deep Learning Algorithms
Nooshin Osmani, Sorayya Rezayi, Erfan Esmaeeli, et al.
Frontiers in Health Informatics (2024) Vol. 13, pp. 177-177
Open Access | Times Cited: 5
The Quest for the Application of Artificial Intelligence to Whole Slide Imaging: Unique Prospective from New Advanced Tools
Gavino Faa, Massimo Castagnola, Luca Didaci, et al.
Algorithms (2024) Vol. 17, Iss. 6, pp. 254-254
Open Access | Times Cited: 5
Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis
Bitao Jiang, Lingling Bao, Songqin He, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 5
A Unified Machine Learning Framework for Multi-subtype Tumour Classification Across Diverse Datasets
Ankur Yadav, Ovidiu Daescu
Lecture notes in computer science (2025), pp. 251-261
Closed Access
Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
Leonid Mill, Oliver Aust, Jochen A. Ackermann, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images
Zamani Nazri Ahmad, Khaled Al-Thelaya, Mahmood Alzubaidi, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 109991-109991
Open Access
Image Analysis in Histopathology and Cytopathology: From Early Days to Current Perspectives
Tibor Mezei, Melinda Kolcsár, András Joó, et al.
Journal of Imaging (2024) Vol. 10, Iss. 10, pp. 252-252
Open Access | Times Cited: 3
Artificial Intelligence in Oncology: Present Potential, Prospective Prospects, And Ethical Reviews
Ammar A. Razzak Mahmood, Dr Roopa Murgod, Saswat swarup Badapanda, et al.
International Journal of Trends in OncoScience (2024)
Open Access | Times Cited: 2
Advancements in computer vision and pathology: Unraveling the potential of artificial intelligence for precision diagnosis and beyond
Justin Chang, Bryce Hatfield
Advances in cancer research (2024), pp. 431-478
Closed Access | Times Cited: 2
Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review
Ricardo González, Peyman Nejat, Ashirbani Saha, et al.
Journal of Pathology Informatics (2023) Vol. 15, pp. 100348-100348
Open Access | Times Cited: 5
Using multi-label ensemble CNN classifiers to mitigate labelling inconsistencies in patch-level Gleason grading
Muhammad Asim Butt, Muhammad Farhat Kaleem, Muhammad Bilal, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0304847-e0304847
Open Access | Times Cited: 1
Artificial intelligence in pathological anatomy
Ilya Solovev
Russian Journal of Archive of Pathology (2024) Vol. 86, Iss. 2, pp. 65-65
Closed Access | Times Cited: 1
A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer
Aymen Sadraoui, Ségolène Martin, Eliott Barbot, et al.
(2024), pp. 1-5
Open Access | Times Cited: 1
Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review
Mahdieh Poodineh Moghadam, Zabih Allah Moghadam, Mohammad Reza Chalak Qazani, et al.
IEEE Access (2024) Vol. 12, pp. 122557-122587
Open Access | Times Cited: 1
Assess the capabilities of AI-based large language models (AI-LLMs) in interpreting histopathological slides and scientific figures: performance evaluation study (Preprint)
Khanisyah Erza Gumilar, Grace Ariani, Priangga Adi Wiratama, et al.
(2024)
Open Access | Times Cited: 1
Graph-Based Analysis of Histopathological Images for Lung Cancer Classification Using GLCM Features and DeepWalk Embeddings
Imam Dad, Jianfeng He, Zulqarnain Baloch
Research Square (Research Square) (2024)
Open Access
ARTIFICIAL INTELLIGENCE TECHNIQUES FOR EARLY CANCER DIAGNOSIS: A LITERATURE REVIEW
Daniely Carlos Silva, Maria Thaís Lucena Rodrigues Valente, Rayanne Lopes de Medeiros, et al.
International Journal of Health Science (2024) Vol. 4, Iss. 9, pp. 2-8
Open Access
An Unsupervised Learning Tool for Plaque Tissue Characterization in Histopathological Images
Matteo Fraschini, Massimo Castagnola, Luigi Barberini, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5383-5383
Open Access
Histopathological Cancer Detection Using Pre-Trained Models
Sarojini Balakrishnan, S. Vijaya Shree
(2024) Vol. III, pp. 626-629
Closed Access
Weakly supervised multiple instance learning model with generalization ability for clinical adenocarcinoma screening on serous cavity effusion pathology
Yupeng Zhang, Xiaolong Zhu, Zhong Li, et al.
Modern Pathology (2024) Vol. 38, Iss. 2, pp. 100648-100648
Closed Access
OCCNET: Improving Imbalanced Multi-Centred Ovarian Cancer Subtype Classification in Whole Slide Images
Awais Ahmed, Xiaoyang Zeng, Muhammad Hanif Tunio, et al.
2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (2023), pp. 1-8
Closed Access
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