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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:

Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms
Nanditha Mallesh, Max Zhao, Lisa Meintker, et al.
Patterns (2021) Vol. 2, Iss. 10, pp. 100351-100351
Open Access | Times Cited: 19

Showing 19 citing articles:

MLP-PSO Hybrid Algorithm for Heart Disease Prediction
Ali Al Bataineh, Sarah Manacek
Journal of Personalized Medicine (2022) Vol. 12, Iss. 8, pp. 1208-1208
Open Access | Times Cited: 84
Recommendations for using artificial intelligence in clinical flow cytometry
David P. Ng, Paul D. Simonson, Attila Tárnok, et al.
Cytometry Part B Clinical Cytometry (2024) Vol. 106, Iss. 4, pp. 228-238
Closed Access | Times Cited: 8
Artificial intelligence in hematological diagnostics: Game changer or gadget?
Wencke Walter, Christian Pohlkamp, Manja Meggendorfer, et al.
Blood Reviews (2022) Vol. 58, pp. 101019-101019
Open Access | Times Cited: 36
Validation of Artificial Intelligence (AI)-Assisted Flow Cytometry Analysis for Immunological Disorders
Zhengchun Lu, Mayu Morita, Tyler S. Yeager, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 420-420
Open Access | Times Cited: 5
Application of machine learning in the management of lymphoma: Current practice and future prospects
Junyun Yuan, Ya Zhang, Xin Wang
Digital Health (2024) Vol. 10
Open Access | Times Cited: 5
Chronic Lymphocytic Leukemia
Min Shi, Dragan Jevremović, Curtis A. Hanson, et al.
(2024), pp. 1193-1205
Closed Access | Times Cited: 4
Machine Learning Methods in Clinical Flow Cytometry
Nicholas C. Spies, Alexandra E. Rangel, Paul English, et al.
Cancers (2025) Vol. 17, Iss. 3, pp. 483-483
Open Access
Clinical validation of a real‐time machine learning‐based system for the detection of acute myeloid leukemia by flow cytometry
Lauren M. Zuromski, Jacob Durtschi, A Abdul Aziz, et al.
Cytometry Part B Clinical Cytometry (2025)
Open Access
Declining incidence and improving survival of ocular and orbital lymphomas in the US between 1995 and 2018
Ahmad Samir Alfaar, Yacoub A. Yousef, Matthew W. Wilson, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Deep Transfer Learning Enables Robust Prediction of Antimicrobial Resistance for Novel Antibiotics
Yunxiao Ren, Trinad Chakraborty, Swapnil Doijad, et al.
Antibiotics (2022) Vol. 11, Iss. 11, pp. 1611-1611
Open Access | Times Cited: 14
Challenging gold standard hematology diagnostics through the introduction of whole genome sequencing and artificial intelligence
Torsten Haferlach, Wencke Walter
International Journal of Laboratory Hematology (2023) Vol. 45, Iss. 2, pp. 156-162
Open Access | Times Cited: 4
Artificial Intelligence for Clinical Flow Cytometry
Robert P. Seifert, David Gorlin, Andrew Borkowski
Clinics in Laboratory Medicine (2023) Vol. 43, Iss. 3, pp. 485-505
Closed Access | Times Cited: 4
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
Comparison of three machine learning algorithms for classification of B‐cell neoplasms using clinical flow cytometry data
Wikum Dinalankara, David P. Ng, Luigi Marchionni, et al.
Cytometry Part B Clinical Cytometry (2024) Vol. 106, Iss. 4, pp. 282-293
Closed Access | Times Cited: 1
Artificial intelligence changing the future of healthcare diagnostics
Vaishnavi Mishra, Sarita Ugemuge, Yugeshwari Tiwade
Journal of Cellular Biotechnology (2023) Vol. 9, Iss. 2, pp. 161-168
Closed Access | Times Cited: 3
Trustworthy and Self-explanatory Artificial Intelligence for the Classification of Non-Hodgkin Lymphoma by Immunophenotype
Michael C. Thrun, Jörg Hoffmann, Stefan W. Krause, et al.
Research Square (Research Square) (2024)
Open Access
Leukemia Cell Image Classification Using CNN: AlexNet and GoogLeNet
Yessi Jusman, Rinata Oktantri Ningrum, Muhammad Ahdan Fawwaz Nurkholid
2021 7th International Conference on Electrical, Electronics and Information Engineering (ICEEIE) (2023), pp. 1-6
Closed Access | Times Cited: 1
Detection of Leukemia Using Inception-V3 and GoogLeNet
Yessi Jusman
(2023), pp. 247-251
Closed Access
Künstliche Intelligenz hilft bei der Leukämie-Diagnose

TumorDiagnostik & Therapie (2021) Vol. 42, Iss. 09, pp. 636-636
Closed Access
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