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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:

Prediction models for chronic postsurgical pain in patients with breast cancer based on machine learning approaches
Chen Sun, Mohan Li, Ling Lan, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 13

Showing 13 citing articles:

The potential of spectroscopy to effectively differentiate between various Avocado varieties holds great promise
Walid El Kayal, Mariam Choker, Samer Kharroubi
Deleted Journal (2025), pp. 100036-100036
Open Access
Prognostic prediction model for chronic postsurgical pain among adult patients: a systematic review and meta-analysis
Yanjie Dong, Huolin Zeng, Lei Yang, et al.
Anesthesiology and Perioperative Science (2025) Vol. 3, Iss. 2
Open Access
Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review
Nahid Zeinali, Nayung Youn, Alaa Albashayreh, et al.
JMIR Cancer (2024) Vol. 10, pp. e52322-e52322
Open Access | Times Cited: 4
Machine learning or traditional statistical methods for predictive modelling in perioperative medicine: A narrative review
Jason Mann, Mathew Lyons, John O’Rourke, et al.
Journal of Clinical Anesthesia (2025) Vol. 102, pp. 111782-111782
Closed Access
Prognostic models for chronic postsurgical pain-Current developments, trends, and challenges
Daniel Segelcke, Daniela C. Rosenberger, Esther Pogatzki‐Zahn
Current Opinion in Anaesthesiology (2023) Vol. 36, Iss. 5, pp. 580-588
Closed Access | Times Cited: 7
Artificial Intelligence and Machine Learning in Cancer Pain: A Systematic Review
Vivian Salama, Brandon Godinich, Yimin Geng, et al.
Journal of Pain and Symptom Management (2024) Vol. 68, Iss. 6, pp. e462-e490
Closed Access | Times Cited: 2
Moving towards the use of artificial intelligence in pain management
Ryan Antel, Sera Whitelaw, Geneviève Gore, et al.
European Journal of Pain (2024)
Open Access | Times Cited: 2
Mechanisms inherent in acute-to-chronic pain after surgery – risk, diagnostic, predictive, and prognostic factors
Daniela C. Rosenberger, Daniel Segelcke, Esther Pogatzki‐Zahn
Current Opinion in Supportive and Palliative Care (2023) Vol. 17, Iss. 4, pp. 324-337
Closed Access | Times Cited: 5
Artificial Intelligence and Machine Learning in Cancer Related Pain: A Systematic Review
Vivian Salama, Brandon Godinich, Yimin Geng, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Harnessing artificial intelligence for predicting and managing postoperative pain: a narrative literature review
Ruba Sajdeya, Samer Narouze
Current Opinion in Anaesthesiology (2024) Vol. 37, Iss. 5, pp. 604-615
Closed Access
Reductions in chronic post-surgical neuropathic pain and mechanical allodynia in breast cancer patients treated with laser acupuncture: a retrospective observational study.
Ian Relf, Tanishka Brahmanand
Clinical Breast Cancer (2024)
Closed Access
Regional anesthesia with single shot blocks and current outcome measures: in and out of the anesthesiological radar
Thomas Volk, Christine Kubulus
Journal of Clinical Anesthesia (2023) Vol. 96, pp. 111354-111354
Closed Access
Utilizing Artificial Intelligence for the Diagnosis, Assessment, and Management of Chronic Pain
Aliasghar Karimi
Journal of Biomedical Physics and Engineering (2023) Vol. online
Open Access
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