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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:

Artificial intelligence-based tools applied to pathological diagnosis of microbiological diseases
Stefano Marletta, Vincenzo L’Imperio, Albino Eccher, et al.
Pathology - Research and Practice (2023) Vol. 243, pp. 154362-154362
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

The Laboratory Diagnosis of Malaria: A Focus on the Diagnostic Assays in Non-Endemic Areas
Adriana Calderaro, Giovanna Piccolo, Carlo Chezzi
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 2, pp. 695-695
Open Access | Times Cited: 10
Unveiling the Secrets of Acinetobacter baumannii: Resistance, Current Treatments, and Future Innovations
Andrea Marıno, Egle Augello, Stefano Stracquadanio, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 13, pp. 6814-6814
Open Access | Times Cited: 8
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106289-106289
Open Access | Times Cited: 5
Digital pathology and artificial intelligence in renal cell carcinoma focusing on feature extraction: a literature review
Mingyue Li, Yu Pan, Yang Lv, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
Computers in Biology and Medicine (2025) Vol. 186, pp. 109704-109704
Closed Access
Advancements in Digital Cytopathology Since COVID-19: Insights from a Narrative Review of Review Articles
Daniele Giansanti
Healthcare (2025) Vol. 13, Iss. 6, pp. 657-657
Open Access
AI in infectious diseases: The role of datasets
César de la Fuente‐Núñez
Drug Resistance Updates (2024) Vol. 73, pp. 101067-101067
Closed Access | Times Cited: 4
VENet: Variational energy network for gland segmentation of pathological images and early gastric cancer diagnosis of whole slide images
Shuchang Zhang, Ziyang Yuan, Xianchen Zhou, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 250, pp. 108178-108178
Closed Access | Times Cited: 3
Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning
Gavin R. Meehan, Vanessa Herder, Jay Allan, et al.
PLoS Pathogens (2023) Vol. 19, Iss. 11, pp. e1011589-e1011589
Open Access | Times Cited: 9
Exploring the synergy of artificial intelligence in microbiology: Advancements, challenges, and future prospects
P Mohseni, Abozar Ghorbani
Deleted Journal (2024) Vol. 1, pp. 100005-100005
Open Access | Times Cited: 2
Advancing the PD-L1 CPS test in metastatic TNBC: Insights from pathologists and findings from a nationwide survey
Nicola Fusco, Mariia Ivanova, Chiara Frascarelli, et al.
Critical Reviews in Oncology/Hematology (2023) Vol. 190, pp. 104103-104103
Closed Access | Times Cited: 5
Automated Identification of Cutaneous Leishmaniasis Lesions Using Deep-Learning-Based Artificial Intelligence
José Fabrício de Carvalho Leal, Daniel Holanda Barroso, Natália Santos Trindade, et al.
Biomedicines (2023) Vol. 12, Iss. 1, pp. 12-12
Open Access | Times Cited: 5
Roadmap for providing and leveraging annotated data by cytologists in the PDAC domain as open data: support for AI-based pathology image analysis development and data utilization strategies
Jong-Kwang Kim, Sumok Bae, Seong-Mi Yoon, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Predicting lymph node recurrence in cT1‐2N0 tongue squamous cell carcinoma: collaboration between artificial intelligence and pathologists
Masahiro Adachi, Tetsuro Taki, Motohiro Kojima, et al.
The Journal of Pathology Clinical Research (2024) Vol. 10, Iss. 5
Open Access | Times Cited: 1
Role of artificial intelligence in early diagnosis and treatment of infectious diseases
Vartika Srivastava, Ravinder Kumar, Mohmmad Younus Wani, et al.
Infectious Diseases (2024), pp. 1-26
Closed Access | Times Cited: 1
Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning
Gavin R. Meehan, Vanessa Herder, Jay Allan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Laryngeal leishmaniasis in a HIV‑positive patient: A case report and review of the literature
Viviana Fisicaro, Edoardo Campanella, Andrea Marıno, et al.
World Academy of Sciences Journal (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 2
Global trends in the burden of malaria: Contemporary diagnostic approaches, and treatment strategies
Bright Amoah Darko, Christopher Mfum Owusu-Asenso, Albert Mensah, et al.
World Journal of Advanced Research and Reviews (2023) Vol. 20, Iss. 1, pp. 258-272
Open Access | Times Cited: 2
Natural Language Processing to extract SNOMED-CT codes from pathological reports
Giorgio Cazzaniga, Albino Eccher, Enrico Munari, et al.
Pathologica (2023) Vol. 115, Iss. 6, pp. 318-324
Open Access | Times Cited: 2
Artificial intelligence in diagnostic and predictive pathology
Chiara Frascarelli, Nicola Fusco, Gianluca Vago
Elsevier eBooks (2024), pp. 81-90
Closed Access
Toward interpretable and generalized mitosis detection in digital pathology using deep learning
Hasan Farooq, Saira Saleem, Iffat Aleem, et al.
Digital Health (2024) Vol. 10
Open Access
A decision support system for the detection of cutaneous fungal infections using artificial intelligence
Naama Rappoport, Gil Goldinger, Assaf Debby, et al.
Pathology - Research and Practice (2024) Vol. 261, pp. 155480-155480
Closed Access
AI in Cytopathology: A Narrative Umbrella Review on Innovations, Challenges, and Future Directions
Daniele Giansanti
Journal of Clinical Medicine (2024) Vol. 13, Iss. 22, pp. 6745-6745
Open Access
Lymph node metastasis prediction from in-situ lung squamous cell carcinoma histopathology images using deep learning.
Lu Xia, Tao Xu, Yongsheng Zheng, et al.
Laboratory Investigation (2024) Vol. 105, Iss. 1, pp. 102187-102187
Closed Access
Editorial: Value of a multidisciplinary approach for modern diagnosis of infectious diseases
Andrea Marıno, Stefano Stracquadanio, Stefano Marletta
Frontiers in Cellular and Infection Microbiology (2024) Vol. 14
Open Access
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