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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:

An End-to-End Pipeline for Early Diagnosis of Acute Promyelocytic Leukemia Based on a Compact CNN Model
Yifan Qiao, Yi Zhang, Nian Liu, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1237-1237
Open Access | Times Cited: 12

Showing 12 citing articles:

Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images
Niranjana Sampathila, Krishnaraj Chadaga, Neelankit Gautam Goswami, et al.
Healthcare (2022) Vol. 10, Iss. 10, pp. 1812-1812
Open Access | Times Cited: 53
Applications of Artificial Intelligence in Acute Promyelocytic Leukemia: An Avenue of Opportunities? A Systematic Review
Mihnea‐Alexandru Găman, Monica Dugăeșescu, Dragoş-Claudiu Popescu
Journal of Clinical Medicine (2025) Vol. 14, Iss. 5, pp. 1670-1670
Open Access | Times Cited: 1
Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan)
Kevin Barrera, Anna Merino, Ángel Molina, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107314-107314
Open Access | Times Cited: 33
Hematopathological Patterns in Acute Myeloid Leukemia with Complications of Overt Disseminated Intravascular Coagulation
Bernhard Strasser, Sebastian Mustafa, Josef Seier, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 383-383
Open Access
Towards Diagnostic Intelligent Systems in Leukemia Detection and Classification: A Systematic Review and Meta‐analysis
Mehrad Aria, Zohreh Javanmard, Donia Pishdad, et al.
Journal of Evidence-Based Medicine (2025) Vol. 18, Iss. 1
Open Access
Artificial intelligence-assisted early screening of acute promyelocytic leukaemia in blood smears: a prospective evaluation of MC-100i
F.S. Zhang, Pingjuan Liu, Jieyu Zhan, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
A review on computer aided detection and classification of leukemia
K. Anilkumar, Vasupalli Manoj, Tomer Sagi
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 17961-17981
Closed Access | Times Cited: 9
Digital assessment of peripheral blood and bone marrow aspirate smears
Joshua E. Lewis, Olga Pozdnyakova
International Journal of Laboratory Hematology (2023) Vol. 45, Iss. S2, pp. 50-58
Open Access | Times Cited: 6
CapsENet: Deep Learning based Acute Lymphoblastic Leukemia Detection Approach
K Lalithkumar, Naveen Raj B, M. Priyanga, et al.
(2024), pp. 1577-1584
Closed Access | Times Cited: 1
A Deep Learning Approach for the Morphological Recognition of Reactive Lymphocytes in Patients with COVID-19 Infection
José Rodellar, Kevin Barrera, Santiago Alférez, et al.
Bioengineering (2022) Vol. 9, Iss. 5, pp. 229-229
Open Access | Times Cited: 6
Engineered feature embeddings meet deep learning: A novel strategy to improve bone marrow cell classification and model transparency
Jonathan Tarquino, Jhonathan Rodríguez, David Becerra, et al.
Journal of Pathology Informatics (2024) Vol. 15, pp. 100390-100390
Open Access
A convolutional neural network‐based, quantitative complete blood count scattergram‐mapping framework promptly screens acute promyelocytic leukemia with high sensitivity
Hongyan Liao, Yuanxin Xu, Qiang Meng, et al.
Cancer (2023) Vol. 129, Iss. 19, pp. 2986-2998
Closed Access | Times Cited: 1
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