OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Principles for high-quality, high-value testing
Michael Power, Greg Fell, Michael Wright
Evidence-Based Medicine (2012) Vol. 18, Iss. 1, pp. 5-10
Open Access | Times Cited: 283

Showing 1-25 of 283 citing articles:

Cybersickness in Virtual Reality Questionnaire (CSQ-VR): A Validation and Comparison against SSQ and VRSQ
Panagiotis Kourtesis, Josie Linnell, Rayaan Amir, et al.
Virtual Worlds (2023) Vol. 2, Iss. 1, pp. 16-35
Open Access | Times Cited: 57

Clinical validation of artificial intelligence-based single-subject morphometry without normative reference database
Dennis M. Hedderich, Roland Opfer, Julia Krüger, et al.
Journal of Alzheimer s Disease (2025)
Open Access | Times Cited: 1

Diagnostic Performance of Six Ultrasound Risk Stratification Systems for Thyroid Nodules: A Systematic Review and Network Meta-Analysis
Do Hyun Kim, Sung Won Kim, Mohammed Abdullah Basurrah, et al.
American Journal of Roentgenology (2023) Vol. 220, Iss. 6, pp. 791-803
Closed Access | Times Cited: 30

Validation of the general Framingham Risk Score (FRS), SCORE2, revised PCE and WHO CVD risk scores in an Asian population
Sazzli Kasim, Nurulain Ibrahim, Sorayya Malek, et al.
The Lancet Regional Health - Western Pacific (2023) Vol. 35, pp. 100742-100742
Open Access | Times Cited: 28

The neuroanatomy of visuospatial neglect: A systematic review and analysis of lesion-mapping methodology
Margaret Jane Moore, Elise Milosevich, Jason B. Mattingley, et al.
Neuropsychologia (2023) Vol. 180, pp. 108470-108470
Closed Access | Times Cited: 23

An Automated Online Measure for Misophonia: The Sussex Misophonia Scale for Adults
Julia Simner, Louisa J. Rinaldi, Jamie Ward
Assessment (2024) Vol. 31, Iss. 8, pp. 1598-1614
Open Access | Times Cited: 9

Psychometric properties of the Braden scale to assess pressure injury risk in intensive care: A systematic review
Aldiana Mehicic, Adam Burston, Paul Fulbrook
Intensive and Critical Care Nursing (2024) Vol. 83, pp. 103686-103686
Open Access | Times Cited: 7

The Epic Sepsis Model Falls Short—The Importance of External Validation
Anand Habib, Anthony Lin, Richard W. Grant
JAMA Internal Medicine (2021) Vol. 181, Iss. 8, pp. 1040-1040
Closed Access | Times Cited: 54

Adolescent ADHD and electrophysiological reward responsiveness: A machine learning approach to evaluate classification accuracy and prognosis
György Hámori, Bálint File, Richárd Fiáth, et al.
Psychiatry Research (2023) Vol. 323, pp. 115139-115139
Open Access | Times Cited: 19

Policy effects of the expansion of telehealth under 1135 waivers on intentions to seek counseling services: Difference‐in‐difference (DiD) analysis
Yusen Zhai, JoLynn V. Carney, Richard J. Hazler
Journal of Counseling & Development (2023) Vol. 101, Iss. 3, pp. 277-292
Open Access | Times Cited: 15

A Review on Mastitis in Dairy Cows Research: Current Status and Future Perspectives
P. Stanek, Paweł Żółkiewski, E. Januś
Agriculture (2024) Vol. 14, Iss. 8, pp. 1292-1292
Open Access | Times Cited: 6

Individual differences in the long-term impact of the pandemic: moderators of COVID-related hardship, worry, and social support
Carolyn E. Schwartz, Katrina Borowiec, Yuelin Li, et al.
Quality of Life Research (2024) Vol. 33, Iss. 4, pp. 927-939
Closed Access | Times Cited: 5

Predictive value of an unsupervised web-based assessment of the neuropsychological function
Michelle Werrmann, Yesim Gür-Tok, Michael Eid, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Development and Validation of Child Observation Checklist for Early Screening of Young Children with Special Needs
Anna N. N. Hui, Angela Fung Ying Siu, Cynthia Leung, et al.
Healthcare (2025) Vol. 13, Iss. 2, pp. 148-148
Open Access

Hereditary Angioedema Diagnosis Evaluation Score (HADES): A New Clinical Scoring for Predicting Hereditary Angioedema with C1 inhibitor deficiency (HAE-C1INH)
Ricardo Zwiener, Rafael Zamora, Carlos M. Galmarini, et al.
Journal of Allergy and Clinical Immunology Global (2025) Vol. 4, Iss. 2, pp. 100414-100414
Open Access

External Validation of an AI mHealth Tool for Gingivitis Detection among Older Adults at Daycare Centers: A Pilot Study
Reinhard Chun Wang Chau, Adam Cheng, Kaijing Mao, et al.
International Dental Journal (2025)
Open Access

The Cambridge Knee Injury Tool (CamKIT): a clinical prediction tool for acute soft tissue knee injuries
Thomas Molloy, Benjamin Gompels, Simone Castagno, et al.
BMJ Open Sport & Exercise Medicine (2025) Vol. 11, Iss. 1, pp. e002357-e002357
Open Access

The Diagnostic Utility of Host RNA Biosignatures in Adult Patients With Sepsis: A Systematic Review and Meta-Analysis
Mervin Loi, Rehena Sultana, Tuong Minh Nguyen, et al.
Critical Care Explorations (2025) Vol. 7, Iss. 2, pp. e1212-e1212
Open Access

Evaluation of suitability of two tools for the diagnosis of canine visceral leishmaniasis
Valeria Garcia, M. Gutierrez, Veronica D. Gonzalez, et al.
Transactions of the Royal Society of Tropical Medicine and Hygiene (2025)
Closed Access

Masticatory Performance Within a Representative Swiss Cohort: A Cross‐Sectional Study
Andrea Roccuzzo, Maria Prasinou, Roberta Borg‐Bartolo, et al.
Journal of Oral Rehabilitation (2025)
Closed Access

Proteomic associations with cognitive variability as measured by the Wisconsin Card Sorting Test in a healthy Thai population: A machine learning approach
Chen Chen, Bupachad Khanthiyong, Benjamard Thaweetee-Sukjai, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0313365-e0313365
Open Access

New machine-learning models outperform conventional risk assessment tools in Gastrointestinal bleeding
Eszter Boros, József Pintér, Roland Molontay, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Page 1 - Next Page

Scroll to top