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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:

The role of machine learning in advancing diabetic foot: a review
Huifang Guan, Ying Wang, Ping Niu, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 15

Showing 15 citing articles:

Sensors and Devices Based on Electrochemical Skin Conductance and Bioimpedance Measurements for the Screening of Diabetic Foot Syndrome: Review and Meta-Analysis
Federica Verdini, Alessandro Mengarelli, Gaetano Chemello, et al.
Biosensors (2025) Vol. 15, Iss. 2, pp. 73-73
Open Access | Times Cited: 1
Integrating bioinformatics and multiple machine learning to identify mitophagy-related targets for the diagnosis and treatment of diabetic foot ulcers: evidence from transcriptome analysis and drug docking
Hui Guo, Kui Xiao, Yanhua Zheng, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 4
Advanced Machine Learning Algorithms for Personalized Diabetic Foot Ulcer Treatment
Madan Mohan Tito Ayyalasomayajula
IGI Global eBooks (2025), pp. 347-372
Closed Access
Psychological and physiological computing based on multi-dimensional foot information
Shengyang Li, Huilin Yao, Ruotian Peng, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Dual-stage explainable ensemble learning model for diabetes diagnosis
Ibrahim A. Elgendy, Mohamed Hosny, Mousa Albashrawi, et al.
Expert Systems with Applications (2025), pp. 126899-126899
Closed Access
Diabetic Foot Ulcers Detection Model Using a Hybrid Convolutional Neural Networks—Vision Transformers
Abdul Rahaman Wahab Sait, R. Nagaraj
Diagnostics (2025) Vol. 15, Iss. 6, pp. 736-736
Open Access
Advancing Diabetic Foot Ulcer Care: AI and Generative AI Approaches for Classification, Prediction, Segmentation, and Detection
Suhaylah Alkhalefah, Isra Al-Turaiki, Νajwa Altwaijry
Healthcare (2025) Vol. 13, Iss. 6, pp. 648-648
Open Access
Global Trends in Diabetic Foot Research (2004–2023): A Bibliometric Study Based on the Scopus Database
Yolanda Fuentes-Peñaranda, Alma Labarta-González-Vallarino, Elena Arroyo-Bello, et al.
International Journal of Environmental Research and Public Health (2025) Vol. 22, Iss. 4, pp. 463-463
Open Access
An interpreting machine learning models to predict amputation risk in patients with diabetic foot ulcers: a multi-center study
Haoran Tao, Lili You, Yuhan Huang, et al.
Frontiers in Endocrinology (2025) Vol. 16
Open Access
Research progress on risk prediction models for the diabetic foot
H. R. Qi, Tao Zhang, Lijie Hou, et al.
Acta Diabetologica (2025)
Open Access
Artificial intelligence's suggestions for level of amputation in diabetic foot ulcers are highly correlated with those of clinicians, only with exception of hindfoot amputations
Merve Mert, Arman Vahabi, Ali Engin Daştan, et al.
International Wound Journal (2024) Vol. 21, Iss. 10
Open Access | Times Cited: 2
Machine Learning Algorithm-Aided Determination of Predictors of Mortality from Diabetic Foot Sepsis at a Regional Hospital in South Africa During the COVID-19 Pandemic
Carlos Matsinhe, Shingirai Brenda Kagodora, Tshifhiwa Mukheli, et al.
Medicina (2024) Vol. 60, Iss. 10, pp. 1718-1718
Open Access | Times Cited: 2
Predictors of post-healing recurrence in patients with diabetic foot ulcers :A systematic review and Meta-analysis
Yujian Sun, Yue Zhou, Yu Dai, et al.
Journal of Tissue Viability (2024)
Closed Access
Thermography, Temperature, Pressure Force Distribution and Physical Activity in Diabetic Foot: A Systematic Review
Maria P. Rosell-Diago, Marta Izquierdo-Renau, Iván Julían-Rochina, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8726-8726
Open Access
Thermal Radiomics for Early Detection of Diabetic Foot Ulcers Using Infrared Thermography
Ronak Dedhiya, R Venkatesha Prasad, Siva Teja Kakileti, et al.
Lecture notes in computer science (2024), pp. 1-10
Closed Access
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