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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:

Use of Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer
Nicole D. Agaronnik, Charlotta Lindvall, Areej El‐Jawahri, et al.
JAMA Oncology (2020) Vol. 6, Iss. 10, pp. 1628-1628
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Definition drives design: Disability models and mechanisms of bias in AI technologies
Denis Newman-Griffis, Jessica Sage Rauchberg, Rahaf Alharbi, et al.
First Monday (2023)
Open Access | Times Cited: 22
Digital Health Applications in Oncology: An Opportunity to Seize
Ravi B. Parikh, Karen M Basen-Enquist, Cathy J. Bradley, et al.
JNCI Journal of the National Cancer Institute (2022) Vol. 114, Iss. 10, pp. 1338-1339
Open Access | Times Cited: 37
Deep Learning–based Assessment of Oncologic Outcomes from Natural Language Processing of Structured Radiology Reports
Matthias A. Fink, Klaus Kades, Arved Bischoff, et al.
Radiology Artificial Intelligence (2022) Vol. 4, Iss. 5
Open Access | Times Cited: 36
A Natural Language Processing Algorithm to Improve Completeness of ECOG Performance Status in Real-World Data
Aaron B. Cohen, Andrej Rosic, Katherine Harrison, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6209-6209
Open Access | Times Cited: 11
Natural language processing systems for extracting information from electronic health records about activities of daily living. A systematic review
Yvonne Wieland-Jorna, Daan van Kooten, Robert Verheij, et al.
JAMIA Open (2024) Vol. 7, Iss. 2
Open Access | Times Cited: 4
FedFSA: Hybrid and federated framework for functional status ascertainment across institutions
Sunyang Fu, Heling Jia, Maria Vassilaki, et al.
Journal of Biomedical Informatics (2024) Vol. 152, pp. 104623-104623
Closed Access | Times Cited: 3
Extraction and Imputation of Eastern Cooperative Oncology Group Performance Status From Unstructured Oncology Notes Using Language Models
Wenxin Xu, Bowen Gu, William Lotter, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Closed Access | Times Cited: 2
Linking Free Text Documentation of Functioning and Disability to the ICF With Natural Language Processing
Denis Newman-Griffis, Jonathan Camacho Maldonado, Pei‐Shu Ho, et al.
Frontiers in Rehabilitation Sciences (2021) Vol. 2
Open Access | Times Cited: 15
Association of Social Support With Overall Survival and Healthcare Utilization in Patients With Aggressive Hematologic Malignancies
P. Connor Johnson, Netana H. Markovitz, Tamryn F. Gray, et al.
Journal of the National Comprehensive Cancer Network (2021), pp. 1-7
Closed Access | Times Cited: 14
Patient Factors and Hospital Outcomes Associated With Atypical Presentation in Hospitalized Older Adults With COVID-19 During the First Surge of the Pandemic
Allison Marziliano, Edith Burns, Lakshpaul Chauhan, et al.
The Journals of Gerontology Series A (2021) Vol. 77, Iss. 4, pp. e124-e132
Open Access | Times Cited: 13
Perspectives of Patients with Pre-existing Mobility Disability on the Process of Diagnosing Their Cancer
Nicole D. Agaronnik, Areej El‐Jawahri, Lisa I. Iezzoni
Journal of General Internal Medicine (2020) Vol. 36, Iss. 5, pp. 1250-1257
Open Access | Times Cited: 14
Introduction of AI Technology for Objective Physical Function Assessment
Nobuji Kouno, Satoshi Takahashi, Masaaki Komatsu, et al.
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1154-1154
Open Access | Times Cited: 1
Deep-Learning-Based Natural Language Processing of Serial Free-Text Radiological Reports for Predicting Rectal Cancer Patient Survival
Sunkyu Kim, Choong‐kun Lee, Yonghwa Choi, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 9
Delirium and Healthcare Utilization in Patients Undergoing Hematopoietic Stem Cell Transplantation
Hermioni L. Amonoo, Netana H. Markovitz, P. Connor Johnson, et al.
Transplantation and Cellular Therapy (2023) Vol. 29, Iss. 5, pp. 334.e1-334.e7
Open Access | Times Cited: 3
A roadmap to reduce information inequities in disability with digital health and natural language processing
Denis Newman-Griffis, Max Hurwitz, Gina McKernan, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 11, pp. e0000135-e0000135
Open Access | Times Cited: 5
The Use of Natural Language Processing to Assess Social Support in Patients With Advanced Cancer
Sunil Bhatt, P. Connor Johnson, Netana H. Markovitz, et al.
The Oncologist (2022) Vol. 28, Iss. 2, pp. 165-171
Open Access | Times Cited: 5
A Multi-Institutional Natural Language Processing Pipeline to Extract Performance Status From Electronic Health Records
Arash Maghsoudi, Yvonne H. Sada, Sara Nowakowski, et al.
Cancer Control (2024) Vol. 31
Open Access
The need of E-health and literacy of cancer patients for Healthcare providers
Ruchika Kalra, Meena Gupta, Priya Sharma
Elsevier eBooks (2024), pp. 181-198
Closed Access
Analysis of Inertial Measurement Unit Data for an AI-Based Physical Function Assessment System Using In-Clinic-like Movements
Nobuji Kouno, Satoshi Takahashi, Ken Takasawa, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1232-1232
Open Access
Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancer
Ashwin Ramaswamy, Michael Hung, Joe Pelt, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0314989-e0314989
Open Access
Linking Free Text Documentation of Functioning and Disability to the ICF with Natural Language Processing
Denis Newman-Griffis, Jonathan Camacho Maldonado, Pei‐Shu Ho, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 3
Feasibility of Extracting Meaningful Patient Centered Outcomes From the Electronic Health Record Following Critical Illness in the Elderly
Sumera Ahmad, Alex D. Tarabochia, Luann Budahn, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 1
A roadmap to reduce information inequities in disability with digital health and natural language processing
Denis Newman-Griffis, Max Hurwitz, Gina McKernan, et al.
(2022)
Open Access | Times Cited: 1
Comparing human coding to two natural language processing algorithms in aspirations of people affected by Duchenne Muscular Dystrophy
Carolyn E. Schwartz, Roland B. Stark, Elijah Biletch, et al.
Journal of Methods and Measurement in the Social Sciences (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer—Reply
Nicole D. Agaronnik, Charlotta Lindvall, Lisa I. Iezzoni
JAMA Oncology (2021) Vol. 7, Iss. 3, pp. 463-463
Closed Access | Times Cited: 1
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