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.

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Showing 16 citing articles:

Machine Learning Models for the Identification of Prognostic and Predictive Cancer Biomarkers: A Systematic Review
Qasem Al-Tashi, Maliazurina Saad, Amgad Muneer, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 9, pp. 7781-7781
Open Access | Times Cited: 70

Potential of AI and ML in oncology research including diagnosis, treatment and future directions: A comprehensive prospective
Akanksha Gupta, Sarita Bajaj, Priyanshu Nema, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109918-109918
Closed Access

The Role of Artificial Intelligence in the Diagnosis and Prognosis of Renal Cell Tumors
Matteo Giulietti, Monia Cecati, Berina Šabanović, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 206-206
Open Access | Times Cited: 23

Kidney cancer management 3.0: can artificial intelligence make us better?
Matthew Lee, Shuanzeng Wei, Jordan Anaokar, et al.
Current Opinion in Urology (2021) Vol. 31, Iss. 4, pp. 409-415
Closed Access | Times Cited: 12

Insight into the physiological and pathological roles of USP44, a potential tumor target (Review)
Yuming Lou, Minfeng Ye, Chaoyang Xu, et al.
Oncology Letters (2022) Vol. 24, Iss. 6
Open Access | Times Cited: 8

Deep learning-based predictions of clear and eosinophilic phenotypes in clear cell renal cell carcinoma
Chisato Ohe, Takashi Yoshida, Mahul B. Amin, et al.
Human Pathology (2022) Vol. 131, pp. 68-78
Open Access | Times Cited: 7

Modern AI/ML Methods for Healthcare: Opportunities and Challenges
Akshit Garg, Vijay Vignesh Venkataramani, A. Karthikeyan, et al.
Lecture notes in computer science (2022), pp. 3-25
Closed Access | Times Cited: 3

Integrative bioinformatics and <i>in vitro</i> exploration of EVI2A expression: unraveling its immunological and prognostic implications in kidney renal clear cell carcinoma
RONG LIU, Sheng Li, Situ Xiong, et al.
Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (2024), pp. 1-10
Open Access

The promise of artificial intelligence for kidney pathophysiology
Joy Jiang, Lili Chan, Girish N. Nadkarni
Current Opinion in Nephrology & Hypertension (2022) Vol. 31, Iss. 4, pp. 380-386
Open Access | Times Cited: 2

Dissecting big RNA-Seq cancer data using machine learning to find disease-associated genes and the causal mechanism
Dipanka Tanu Sarmah, Shivam Kumar, Samrat Chatterjee, et al.
Elsevier eBooks (2023), pp. 437-454
Closed Access

Deep learning-based predictions of clear and eosinophilic phenotypes in clear cell renal cell carcinoma
Chisato Ohe, Takashi Yoshida, Mahul B. Amin, et al.
Research Square (Research Square) (2022)
Open Access

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