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
Wencke Walter, Claudia Haferlach, Niroshan Nadarajah, et al.
Oncogene (2021) Vol. 40, Iss. 25, pp. 4271-4280
Open Access | Times Cited: 58
Showing 51-75 of 58 citing articles:
Inteligência Artificial (IA) e suas aplicações em exames de imagem: uma nova era para diagnósticos na área da saúde
Alessandra Chamberlaim, Bianca de Azevedo Flor, Eduarda da Silva Pereira, et al.
Cuadernos de Educación y Desarrollo (2023) Vol. 15, Iss. 12, pp. 17605-17624
Open Access | Times Cited: 1
Alessandra Chamberlaim, Bianca de Azevedo Flor, Eduarda da Silva Pereira, et al.
Cuadernos de Educación y Desarrollo (2023) Vol. 15, Iss. 12, pp. 17605-17624
Open Access | Times Cited: 1
Leukemia can be Effectively Early Predicted in Routine Physical Examination with the Assistance of Machine Learning Models
Cheng Yu, Yin-yin Peng, Lin Liu, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 2
Cheng Yu, Yin-yin Peng, Lin Liu, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 2
The application of machine learning to imaging in hematological oncology: A scoping review
Stylianos Kotsyfakis, Evangelia Iliaki-Giannakoudaki, Α. Αναγνωστόπουλος, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 2
Stylianos Kotsyfakis, Evangelia Iliaki-Giannakoudaki, Α. Αναγνωστόπουλος, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 2
Künstliche Intelligenz in der Hämatologie
Kolja Nenoff, Nora Grieb, Alexander Oeser, et al.
InFo Hämatologie + Onkologie (2021) Vol. 24, Iss. 12, pp. 10-13
Closed Access | Times Cited: 2
Kolja Nenoff, Nora Grieb, Alexander Oeser, et al.
InFo Hämatologie + Onkologie (2021) Vol. 24, Iss. 12, pp. 10-13
Closed Access | Times Cited: 2
Manually-established abnormal karyotype dataset based on normal chromosomes effectively train artificial intelligence model for better cytogenetic abnormalities prediction
Jinhai Deng, Weixiong Peng, Qinyang Lu, et al.
Research Square (Research Square) (2023)
Open Access
Jinhai Deng, Weixiong Peng, Qinyang Lu, et al.
Research Square (Research Square) (2023)
Open Access
Artificial Intelligence Increases Reliability in Diagnostic Hematooncology
David Starostka, Richard Doležílek, Katerina Chasakova
Journal of Clinical and Translational Pathology (2023) Vol. 000, Iss. 000, pp. 000-000
Open Access
David Starostka, Richard Doležílek, Katerina Chasakova
Journal of Clinical and Translational Pathology (2023) Vol. 000, Iss. 000, pp. 000-000
Open Access
Artificial Intelligence in Gamete Cell Selection and Microbiologic Analysis
Ali Dogan Omur
Journal of Clinical Veterinary Research (2022) Vol. 2, Iss. 2, pp. 1-7
Open Access
Ali Dogan Omur
Journal of Clinical Veterinary Research (2022) Vol. 2, Iss. 2, pp. 1-7
Open Access
Enhancing MetaOmGraph software, and using interpretable machine learning to study novel genes in human breast cancer
Kumara Sri Harsha Vajjhala
(2022)
Open Access
Kumara Sri Harsha Vajjhala
(2022)
Open Access
