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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:

Explainable machine learning model for predicting skeletal muscle loss during surgery and adjuvant chemotherapy in ovarian cancer
Wen‐Han Hsu, A.-R. Ko, Chia‐Sui Weng, et al.
Journal of Cachexia Sarcopenia and Muscle (2023) Vol. 14, Iss. 5, pp. 2044-2053
Open Access | Times Cited: 16

Showing 16 citing articles:

Season and weather factors matter, but not enough: a machine learning-based study on predicting incremental lifetime cancer risk of polycyclic aromatic hydrocarbons
Chenjia Li, Yuxiang Deng, Nuo Chen, et al.
International Journal of Environmental Health Research (2025), pp. 1-12
Closed Access
Development and multi-center cross-setting validation of an explainable prediction model for sarcopenic obesity: a machine learning approach based on readily available clinical features
Rongna Lian, Huiyu Tang, Zecong Chen, et al.
Aging Clinical and Experimental Research (2025) Vol. 37, Iss. 1
Open Access
Association of nutritional and inflammatory status with all-cause and cardiovascular mortality in adults with sarcopenia: Insights from NHANES
Yang Yang, Si Shen, Xiang Luo, et al.
Maturitas (2025) Vol. 196, pp. 108233-108233
Closed Access
Opportunities and Challenges of Machine Learning in Anticaner Drug Therapies
M.I.A.O. Chunlei, H.U.A.N.G.F.U. rui, Chao Yuan, et al.
Intelligent Pharmacy (2025)
Open Access
Explainable machine learning model and nomogram for predicting the efficacy of Traditional Chinese Medicine in treating Long COVID: a retrospective study
Jisheng Zhang, Yang Chen, Aijun Zhang, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Development and Multi-center validation of a machine learning Model for advanced colorectal neoplasms screening
Mingqing Zhang, Yongdan Zhang, Lizhong Zhao, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110066-110066
Closed Access
Prediction of Lumbar Disc Degeneration Based on Interpretable Machine Learning Models: Retrospective Cohort Study
Tenghui Li, Weihui Qi, Xinggang Mao, et al.
The Spine Journal (2025)
Open Access
Interpretable machine learning model based on clinical factors for predicting muscle radiodensity loss after treatment in ovarian cancer
Wan-Chun Lin, Chia‐Sui Weng, A.-R. Ko, et al.
Supportive Care in Cancer (2024) Vol. 32, Iss. 8
Closed Access | Times Cited: 3
Explainable machine learning model for predicting paratracheal lymph node metastasis in cN0 papillary thyroid cancer
Lin Chun, Denghuan Wang, Liqiong He, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Identifying threshold of CT-defined muscle loss after radiotherapy for survival in oral cavity cancer using machine learning
Jie Lee, Jhen‐Bin Lin, Wan-Chun Lin, et al.
European Radiology (2024)
Closed Access | Times Cited: 2
Mechanisms of Ovarian Cancer-Associated Cachexia
Chandler S. Callaway, Lila M Mouchantat, Benjamin G. Bitler, et al.
Endocrinology (2023) Vol. 165, Iss. 1
Open Access | Times Cited: 5
Developing Plasma Proteomics-Based Machine Learning Models to Diagnose and Predict Cancer-Related Sarcopenia: A Study from the UK Biobank
Xiangliang Liu, Yuguang Li, Yang Wang, et al.
(2024)
Closed Access
Explainable machine learning model for predicting paratracheal lymph node metastasis in cN0 papillary thyroid cancer
Lin Chun, Denghuan Wang, Liqiong He, et al.
Research Square (Research Square) (2024)
Open Access
Development and validation of an explainable machine learning model for predicting multidimensional frailty in hospitalized patients with cirrhosis
Fang Yang, Chaoqun Li, Wanting Yang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
Thresholds of Body Composition Changes Associated with Survival During Androgen Deprivation Therapy in Prostate Cancer
P.Y. Chen, Pai-Kai Chiang, Jhen‐Bin Lin, et al.
European Urology Open Science (2024) Vol. 70, pp. 99-108
Closed Access
Advances in sarcopenia and urologic disorders
Tianlun Zhao, Weipu Mao, Mingyue Hu, et al.
Frontiers in Nutrition (2024) Vol. 11
Open Access
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