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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:

A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data
Liangyu Yin, Chunhua Song, Jiuwei Cui, et al.
Clinical Nutrition (2021) Vol. 40, Iss. 8, pp. 4958-4970
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Machine Learning in Nutrition Research
Daniel Kirk, E.J. Kok, Michele Tufano, et al.
Advances in Nutrition (2022) Vol. 13, Iss. 6, pp. 2573-2589
Open Access | Times Cited: 73
Role of artificial intelligence in predicting disease-related malnutrition - A narrative review
Daniel Antonio de Luis, Juan José López Gómez, David E. Barajas Galindo, et al.
Nutrición Hospitalaria (2025)
Open Access | Times Cited: 1
GLIM‐defined malnutrition and overall survival in cancer patients: A meta‐analysis
Liangyu Yin, Feifei Chong, Zhenyu Huo, et al.
Journal of Parenteral and Enteral Nutrition (2022) Vol. 47, Iss. 2, pp. 207-219
Open Access | Times Cited: 30
Artificial Intelligence in Malnutrition: A Systematic Literature Review
Sander M W Janssen, Yamine Bouzembrak, Bedir Teki̇nerdoğan
Advances in Nutrition (2024) Vol. 15, Iss. 9, pp. 100264-100264
Open Access | Times Cited: 6
The Role of Artificial Intelligence in Deciphering Diet–Disease Relationships: Case Studies
Yotam Cohen, Rafael Valdés‐Mas, Eran Elinav
Annual Review of Nutrition (2023) Vol. 43, Iss. 1, pp. 225-250
Open Access | Times Cited: 14
Association of possible sarcopenia with all-cause mortality in patients with solid cancer: A nationwide multicenter cohort study
Liangyu Yin, Chunhua Song, Jiuwei Cui, et al.
The journal of nutrition health & aging (2024) Vol. 28, Iss. 1, pp. 100023-100023
Open Access | Times Cited: 5
Artificial intelligence in clinical nutrition and dietetics: A brief overview of current evidence
Kiranjit Atwal
Nutrition in Clinical Practice (2024) Vol. 39, Iss. 4, pp. 736-742
Closed Access | Times Cited: 5
Low fat mass index outperforms handgrip weakness and GLIM-defined malnutrition in predicting cancer survival: Derivation of cutoff values and joint analysis in an observational cohort
Liangyu Yin, Chunhua Song, Jiuwei Cui, et al.
Clinical Nutrition (2021) Vol. 41, Iss. 1, pp. 153-164
Closed Access | Times Cited: 28
A scoping review on the GLIM criteria for malnutrition diagnosis: Understanding how and for which purpose it has been applied in studies on hospital settings
Danielle Silla Jobim Milanez, Elisa Loch Razzera, Ingrid da Silveira Knobloch, et al.
Clinical Nutrition (2022) Vol. 42, Iss. 1, pp. 29-44
Closed Access | Times Cited: 19
Early identification of potentially reversible cancer cachexia using explainable machine learning driven by body weight dynamics: a multicenter cohort study
Liangyu Yin, Na Li, Xin Lin, et al.
American Journal of Clinical Nutrition (2025)
Closed Access
Artificial intelligence in gastroenterology: Ethical and diagnostic challenges in clinical practice
Davide Ramoni, Alessandro Scuricini, Federico Carbone, et al.
World Journal of Gastroenterology (2025) Vol. 31, Iss. 10
Closed Access
Transparency and Representation in Clinical Research Utilizing Artificial Intelligence in Oncology: A Scoping Review
Anjali D'Amiano, Tia Cheunkarndee, Chinenye C. Azoba, et al.
Cancer Medicine (2025) Vol. 14, Iss. 5
Open Access
Artificial Intelligence in the Management of Malnutrition in Cancer Patients: A Systematic Review
Marco Sguanci, Sara Morales Palomares, Giovanni Cangelosi, et al.
Advances in Nutrition (2025), pp. 100438-100438
Open Access
Identifying cancer cachexia in patients without weight loss information: machine learning approaches to address a real-world challenge
Liangyu Yin, Jiuwei Cui, Xin Lin, et al.
American Journal of Clinical Nutrition (2022) Vol. 116, Iss. 5, pp. 1229-1239
Open Access | Times Cited: 16
Development and Assessment of Assisted Diagnosis Models Using Machine Learning for Identifying Elderly Patients With Malnutrition: Cohort Study
Xue Wang, Fengchun Yang, Mingwei Zhu, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e42435-e42435
Open Access | Times Cited: 9
The future of artificial intelligence in clinical nutrition
Pierre Singer, Eyal Robinson, Orit Raphaeli
Current Opinion in Clinical Nutrition & Metabolic Care (2023) Vol. 27, Iss. 2, pp. 200-206
Closed Access | Times Cited: 9
Explainable AI for malnutrition risk prediction from m-Health and clinical data
Flavio Di Martino, Franca Delmastro, Cristina Dolciotti
Smart Health (2023) Vol. 30, pp. 100429-100429
Open Access | Times Cited: 7
Towards personalized nutritional treatment for malnutrition using machine learning-based screening tools
Orit Raphaeli, Pierre Singer
Clinical Nutrition (2021) Vol. 40, Iss. 10, pp. 5249-5251
Closed Access | Times Cited: 16
Recognizing and Predicting the Risk of Malnutrition in the Elderly Using Artificial Intelligence: A Systematic Review
Joyeta Ghosh
International Journal of Advancement in Life Sciences Research (2024) Vol. 07, Iss. 03, pp. 01-14
Open Access | Times Cited: 2
An Artificial Intelligence Approach for Test‐Free Identification of Sarcopenia
Liangyu Yin, Jinghong Zhao
Journal of Cachexia Sarcopenia and Muscle (2024)
Open Access | Times Cited: 2
Clinical and economic value of oral nutrition supplements in patients with cancer: a position paper from the Survivorship Care and Nutritional Support Working Group of Alliance Against Cancer
Riccardo Caccialanza, Alessandro Laviano, Cristina Bosetti, et al.
Supportive Care in Cancer (2022) Vol. 30, Iss. 11, pp. 9667-9679
Closed Access | Times Cited: 11
Implementation of an electronic solution to improve malnutrition identification and support clinical best practice
Sally McCray, Laura Barsha, Kirsty Maunder
Journal of Human Nutrition and Dietetics (2022) Vol. 35, Iss. 6, pp. 1071-1078
Closed Access | Times Cited: 8
Development and evaluation of a deep learning framework for the diagnosis of malnutrition using a 3D facial points cloud: A cross‐sectional study
Xue Wang, Yan Liu, Zhiqin Rong, et al.
Journal of Parenteral and Enteral Nutrition (2024) Vol. 48, Iss. 5, pp. 554-561
Closed Access | Times Cited: 1
The role of diet in cancer: the potential of shaping public policy and clinical outcomes in the UK
Oliver Britten, Sabrina Tosi
Genes & Nutrition (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Exploring the optimal indicator of short‐term peridiagnosis weight dynamics to predict cancer survival: A multicentre cohort study
Liangyu Yin, Ling Zhang, Long Li, et al.
Journal of Cachexia Sarcopenia and Muscle (2024) Vol. 15, Iss. 3, pp. 1177-1186
Open Access | Times Cited: 1
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