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:

Risk profiling in the prevention and treatment of chronic wounds using artificial intelligence
Karen Cross, Keith G Harding
International Wound Journal (2022) Vol. 19, Iss. 6, pp. 1283-1285
Open Access | Times Cited: 16

Showing 16 citing articles:

Current status, challenges, and prospects of artificial intelligence applications in wound repair theranostics
Huazhen Liu, Wenbin Sun, Weihuang Cai, et al.
Theranostics (2025) Vol. 15, Iss. 5, pp. 1662-1688
Open Access | Times Cited: 1

The integration of AI in nursing: addressing current applications, challenges, and future directions
Qiang Wei, Shirui Pan, Xiaoyu Liu, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access | Times Cited: 1

Progress in Wound-Healing Products Based on Natural Compounds, Stem Cells, and MicroRNA-Based Biopolymers in the European, USA, and Asian Markets: Opportunities, Barriers, and Regulatory Issues
Girish K. Srivastava, Sofia Martinez-Rodriguez, Nur Izzah Md Fadilah, et al.
Polymers (2024) Vol. 16, Iss. 9, pp. 1280-1280
Open Access | Times Cited: 13

Artificial Intelligence in Wound Care Education: Protocol for a Scoping Review
Rúben Miguel Câmara Encarnação, Tânia Manuel, Hélder Palheira, et al.
Nursing Reports (2024) Vol. 14, Iss. 1, pp. 627-640
Open Access | Times Cited: 8

Artificial intelligence in wound care: diagnosis, assessment and treatment of hard-to-heal wounds: a narrative review
Mark G Rippon, Leigh Fleming, Tianhua Chen, et al.
Journal of Wound Care (2024) Vol. 33, Iss. 4, pp. 229-242
Closed Access | Times Cited: 7

An Antimicrobial and Antioxidant Hydrogel Dressing for Wound Repair
Xiaochun Liu, Hui Zhang, Dawei Sun, et al.
Health (2025) Vol. 17, Iss. 02, pp. 98-110
Open Access

Unveiling the role of artificial intelligence for wound assessment and wound healing prediction
Dinh To Le, Tuan D. Pham
Exploration of Medicine (2023), pp. 589-611
Open Access | Times Cited: 10

Development of an explainable artificial intelligence model for Asian vascular wound images
Zhiwen Joseph Lo, Malcolm Han Wen Mak, Shanying Liang, et al.
International Wound Journal (2023) Vol. 21, Iss. 4
Open Access | Times Cited: 7

Could wound care benefit from the artificial intelligence storm taking place worldwide
Douglas Queen
International Wound Journal (2023) Vol. 20, Iss. 5, pp. 1337-1338
Open Access | Times Cited: 5

Avanços na Inteligência Artificial para o cuidado de úlceras em pessoas com Diabetes Mellitus
Priscila Peruzzo Apolinário, Flávia Cristina Zanchetta, Camila Quinetti Paes Pittella, et al.
Revista Enfermagem Atual In Derme (2024) Vol. 98, Iss. 3, pp. e024377-e024377
Open Access

Future Direction of Wound Care
Sanaz Martin
Nursing Clinics of North America (2024) Vol. 60, Iss. 1, pp. 207-215
Closed Access

Personalized statistical medicine
Abhaya Indrayan
The Indian Journal of Medical Research (2023) Vol. 157, Iss. 1, pp. 104-108
Open Access | Times Cited: 1

Chronic Wound Management in Geriatric Patients; A Case of Home Care Services
Arzu Ayraler, Muhammed Emin GÖKTEPE, Aslı DİKMEN, et al.
ODÜ Tıp Dergisi (2023) Vol. 10, Iss. 2, pp. 65-73
Open Access

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