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:

Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study
Zhaohua Lu, Jin-Ah Sim, Jade Xiaoqing Wang, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 11, pp. e26777-e26777
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review
Jin-Ah Sim, Xiaolei Huang, Madeline R. Horan, et al.
Artificial Intelligence in Medicine (2023) Vol. 146, pp. 102701-102701
Closed Access | Times Cited: 25

Promise and Perils of Large Language Models for Cancer Survivorship and Supportive Care
Danielle S. Bitterman, Andrea S. Downing, Julia Maués, et al.
Journal of Clinical Oncology (2024) Vol. 42, Iss. 14, pp. 1607-1611
Closed Access | Times Cited: 9

Machine Learning in Pediatric Healthcare: Current Trends, Challenges, and Future Directions
Hammad A. Ganatra
Journal of Clinical Medicine (2025) Vol. 14, Iss. 3, pp. 807-807
Open Access | Times Cited: 1

exKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies
Tiancheng Yang, Ilia Sucholutsky, Kuang‐Yu Jen, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1888-e1888
Open Access | Times Cited: 7

Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review
Jin-Ah Sim, Xiaolei Huang, Madeline R. Horan, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2024) Vol. 24, Iss. 4, pp. 467-475
Closed Access | Times Cited: 6

Alzheimer's Disease Classification Through Imaging Genetic Data With IGnet
Jade Xiaoqing Wang, Yimei Li, Xintong Li, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 20

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: 4

The Transformative Role of Artificial Intelligence in Plastic and Reconstructive Surgery: Challenges and Opportunities
Masab Mansoor, Andrew Ibrahim
Journal of Clinical Medicine (2025) Vol. 14, Iss. 8, pp. 2698-2698
Open Access

A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
Asma Musabah Alkalbani, Ahmed Salim Alrawahi, Ahmad Salah, et al.
Research Square (Research Square) (2025)
Open Access

The use of natural language processing to interpret unstructured patient feedback on health services: A scoping review (Preprint)
Ali Feizollah, Cheng‐Horng Lin, Lucy O’Malley, et al.
Journal of Medical Internet Research (2025)
Open Access

Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study
Danissa V. Rodriguez, Ji Chen, Ratnalekha V N Viswanadham, et al.
JMIR AI (2024) Vol. 3, pp. e47122-e47122
Open Access | Times Cited: 2

Using natural language processing in emergency medicine health service research: A systematic review and meta‐analysis
Hao Wang, Naomi Alanis, Laura Haygood, et al.
Academic Emergency Medicine (2024) Vol. 31, Iss. 7, pp. 696-706
Open Access | Times Cited: 2

Ten Considerations for Integrating Patient-Reported Outcomes into Clinical Care for Childhood Cancer Survivors
Madeline R. Horan, Jin‐ah Sim, Kevin R. Krull, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1024-1024
Open Access | Times Cited: 5

Ophthalmology Operation Note Encoding with Open-Source Machine Learning and Natural Language Processing
Yong Min Lee, Stephen Bacchi, Carmelo Macri, et al.
Ophthalmic Research (2023), pp. 928-939
Open Access | Times Cited: 4

Transforming Hospital Quality Improvement Through Harnessing the Power of Artificial Intelligence
Hana J Abukhadijah, Abdulqadir J. Nashwan
Global Journal on Quality and Safety in Healthcare (2024) Vol. 7, Iss. 3, pp. 132-139
Open Access | Times Cited: 1

Cancer pain detection based on physiological parameters and machine learning
Noor Tashtoush, Amani Al-Ghraibah, Syed Azhar Syed Sulaiman, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1

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

Identifying Nonpatient Authors of Patient Portal Secure Messages in Oncology: A Proof-of-Concept Demonstration of Natural Language Processing Methods
Natalie C. Benda, Christopher Rogers, Mohit Sharma, et al.
JCO Clinical Cancer Informatics (2022), Iss. 6
Open Access | Times Cited: 5

Prediction of chemotherapy-related complications in pediatric oncology patients: artificial intelligence and machine learning implementations
Seda Ardahan Sevgili, Selmin Şenol
Pediatric Research (2022) Vol. 93, Iss. 2, pp. 390-395
Closed Access | Times Cited: 5

Deep Phenotyping of Chinese Electronic Health Records by Recognizing Linguistic Patterns of Phenotypic Narratives With a Sequence Motif Discovery Tool: Algorithm Development and Validation
Shicheng Li, Lizong Deng, Xu Zhang, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 6, pp. e37213-e37213
Open Access | Times Cited: 3

Natural Language Processing to Extract Meaningful Information from a Corpus of Written Knowledge in Breast Cancer: Transforming Books into Data
Giuseppe Catanuto, Nicola Rocco, Konstantina Balafa, et al.
Breast Care (2023) Vol. 18, Iss. 3, pp. 209-212
Closed Access | Times Cited: 1

Regional Bias in Monolingual English Language Models
Jiachen Lyu, Katharina Dost, Yun Sing Koh, et al.
Research Square (Research Square) (2024)
Open Access

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