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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:

How artificial intelligence might disrupt diagnostics in hematology in the near future
Wencke Walter, Claudia Haferlach, Niroshan Nadarajah, et al.
Oncogene (2021) Vol. 40, Iss. 25, pp. 4271-4280
Open Access | Times Cited: 58

Showing 26-50 of 58 citing articles:

Digital health technologies: Compounding the existing ethical challenges of the ‘right’ not to know
Richard Armitage
Journal of Evaluation in Clinical Practice (2024) Vol. 30, Iss. 5, pp. 774-779
Open Access | Times Cited: 2
The value proposition of integrative diagnostics for (early) detection of cancer. On behalf of the EFLM interdisciplinary Task and Finish Group “CNAPS/CTC for early detection of cancer”
Matthias F. Froelich, Ettore Capoluongo, Zsolt Kovacs, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2022) Vol. 60, Iss. 6, pp. 821-829
Open Access | Times Cited: 10
Preanalytical quality improvement – an interdisciplinary journey
Janne Cadamuro, Geoffrey S. Baird, Gabriele Baumann, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2022) Vol. 60, Iss. 5, pp. 662-668
Open Access | Times Cited: 10
Prediction, Discovery, and Characterization of Plant- and Food-Derived Health-Beneficial Bioactive Peptides
Martin Kussmann
Nutrients (2022) Vol. 14, Iss. 22, pp. 4810-4810
Open Access | Times Cited: 10
User Perceptions of ROTEM-Guided Haemostatic Resuscitation: A Mixed Qualitative–Quantitative Study
Greta Gasciauskaite, Amos Malorgio, Clara Castellucci, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 386-386
Open Access | Times Cited: 6
Remote Digital Microscopy Improves Hematology Laboratory Workflow by Reducing Peripheral Blood Smear Analysis Turnaround Time
Ben‐Zion Katz, Dan Benisty, Yael Sayegh, et al.
Applied Clinical Informatics (2022) Vol. 13, Iss. 05, pp. 1108-1115
Open Access | Times Cited: 8
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
A multimodal analysis of genomic and RNA splicing features in myeloid malignancies
Arda Durmaz, Carmelo Gurnari, Courtney E. Hershberger, et al.
iScience (2023) Vol. 26, Iss. 3, pp. 106238-106238
Open Access | Times Cited: 4
Optimization of diagnosis and treatment of hematological diseases via artificial intelligence
Shixuan Wang, Zoufang Huang, Jing Li, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Privacy-by-Design with Federated Learning will drive future Rare Disease Research
Simon Süwer, Md Shihab Ullah, Niklas Probul, et al.
Journal of Neuromuscular Diseases (2024)
Closed Access | Times Cited: 1
Development and validation of a deep learning model for morphological assessment of myeloproliferative neoplasms using clinical data and digital pathology
Rong Wang, Zhongxun Shi, Yuan Zhang, et al.
British Journal of Haematology (2024)
Open 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
Artificial intelligence generated leukemia cell images
Bingwen Eugene Fan, David Tao Yi Chen, Ponnudurai Kuperan, et al.
American Journal of Hematology (2023) Vol. 98, Iss. 7, pp. 1160-1162
Open Access | Times Cited: 2
Surveying Hematologists’ Perceptions and Readiness to Embrace Artificial Intelligence in Diagnosis and Treatment Decision-Making
Turki Alanzi, Fehaid Alanazi, Bushra Mashhour, et al.
Cureus (2023)
Open Access | Times Cited: 2
What Factors Contribute to the Acceptance of Artificial Intelligence on Healthcare Sector: A Systematic Review
Gilbert Badia Anugerah, Achmad Nizar Hidayanto
(2023), pp. 477-482
Closed Access | Times Cited: 2
Detection of Autism Spectrum Disorder (ASD) Symptoms using LSTM Model
Prasenjit Mukherjee, Manish Godse, Baisakhi Chakraborty
WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE (2024) Vol. 21, pp. 40-54
Open Access
AI in wine and haematology
Shaun R. McCann
Bone Marrow Transplantation (2024) Vol. 59, Iss. 7, pp. 907-909
Open Access
Morfologia digitale con tecnologia CellaVision®: modelli organizzativi applicati al laboratorio di ematologia
Marco Moretti, Lucia Finaurini, Michela Sampaolo, et al.
La Rivista Italiana della Medicina di Laboratorio - Italian Journal of Laboratory Medicine (2024) Vol. 20, Iss. 3
Closed Access
Optimizing the Diagnosis of Microcytic Hypochromic Anemia: A Comparative Evaluation of Erythrocyte and Reticulocyte Parameters
Savitri M Nerune, Sohan Rao H R, Kumari Pallavi, et al.
Cureus (2024)
Open Access
Machine learning based on multiplatform tests assists in subtype classification of mature B‐cell neoplasms
Jun-Wei Lin, Yafei Mu, Lingling Liu, et al.
British Journal of Haematology (2024) Vol. 206, Iss. 1, pp. 224-234
Closed Access
Blood less hematology cell counter and survival prediction using artificial intelligence
Utkarsha Pacharaney, Nusrat Parveen, Suriya Aktar, et al.
AIP conference proceedings (2024) Vol. 3188, pp. 100010-100010
Closed Access
Morfologia digitale ed esame emocromocitometrico
Marco Moretti, Anna Maria Cenci, Elisa Piva, et al.
La Rivista Italiana della Medicina di Laboratorio - Italian Journal of Laboratory Medicine (2023) Vol. 18, Iss. 4
Closed Access | Times Cited: 1
Active regression model for clinical grading of COVID-19
Yuan Sh, Jierong Dong, Zhongqing Chen, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 1
Neural network models selection scheme for health mobile app development
Yaya Sudarya Triana, Mohd Azam Osman, Adji Pratomo, et al.
IAES International Journal of Artificial Intelligence (2023) Vol. 12, Iss. 3, pp. 1191-1191
Open Access | Times Cited: 1
Artificial Intelligence and Machine Learning in Integrated Diagnostic
Lisa Milan
Springer eBooks (2023), pp. 5-11
Closed Access | Times Cited: 1

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