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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:

Developing a machine learning model for detecting depression, anxiety, and apathy in older adults with mild cognitive impairment using speech and facial expressions: A cross-sectional observational study
Ying Zhou, Wei Han, Xiuyu Yao, et al.
International Journal of Nursing Studies (2023) Vol. 146, pp. 104562-104562
Closed Access | Times Cited: 17

Showing 17 citing articles:

Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy
Qingmei Huang, Yang Yang, Zhaohui Geng, et al.
Supportive Care in Cancer (2025) Vol. 33, Iss. 3
Open Access | Times Cited: 1
Artificial intelligence in critical care nursing: A scoping review
Yujin Park, Sun Ju Chang, Eunhye Kim
Australian Critical Care (2025) Vol. 38, Iss. 4, pp. 101225-101225
Closed Access | Times Cited: 1
Using machine learning to predict depression among middle-aged and elderly population in China and conducting empirical analysis
Zhe Wang, Ni Jia
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0319232-e0319232
Open Access
Speech Emotion Recognition in Mental Health: A Systematic Review of Voice Based Applications (Preprint)
Eric Jordan, Motasem Alrahabi, Julien Desclés, et al.
(2025)
Closed Access
Association between Childhood Hunger and Depression or Anxiety in Later Life: Insights from Two Case-Control Studies
Xiaoxiao Wang, Xinhao Hu, Fangyi Chen, et al.
Psychiatry Research (2025), pp. 116475-116475
Closed Access
Identifying the Most Critical Predictors of Workplace Violence Experienced by Junior Nurses: An Interpretable Machine Learning Perspective
Lanjun Luo, Yuze Wu, Siyuan Li, et al.
Journal of Nursing Management (2025) Vol. 2025, Iss. 1
Open Access
Applications of Artificial Intelligence in Psychiatric Nursing: A Scope Review
Huanhuan Li, Guibing Zhu, Yan Zhong, et al.
Studies in health technology and informatics (2024)
Open Access | Times Cited: 3
An Interpretable Machine Learning Approach to Predict Sensory Processing Sensitivity Trait in Nursing Students
Alicia Ponce-Valencia, Diana Jiménez‐Rodríguez, Juan José Hernández Morante, et al.
European Journal of Investigation in Health Psychology and Education (2024) Vol. 14, Iss. 4, pp. 913-928
Open Access | Times Cited: 2
Machine learning algorithms to predict mild cognitive impairment in older adults in China: A cross-sectional study
Yanliqing Song, Quan Yuan, Haoqiang Liu, et al.
Journal of Affective Disorders (2024)
Closed Access | Times Cited: 2
Anxiety in young people: Analysis from a machine learning model
Marcela Tabares Tabares, Consuelo Vélez Álvarez, Joshua Bernal Salcedo, et al.
Acta Psychologica (2024) Vol. 248, pp. 104410-104410
Open Access | Times Cited: 1
Mutual eye gaze and vocal pitch in relation to social anxiety and depression: A virtual interaction task
Ashley N. Howell, Savannah J Woods, William L. Farmer, et al.
Journal of Affective Disorders (2024) Vol. 363, pp. 282-291
Closed Access | Times Cited: 1
The impact of cognitive impairment on patient activation and their value in self-management among COPD patients
Xiaomei Chen, Song Hui-qin, Jia Liu, et al.
Patient Education and Counseling (2024) Vol. 129, pp. 108397-108397
Closed Access | Times Cited: 1
Development of a Machine-learning Based Diagnosis Procedure to Distinguish Aortic Dissection from Non-ST- Elevation Myocardial Infarction
Min Huang, Lin Long, Xiaoxuan Fan, et al.
Research Square (Research Square) (2024)
Open Access
Anxiety in Young People: Analysis from a Machine Learning Model
Marcela Tabares Tabares, Consuelo Vélez Álvarez, Joshua Bernal Salcedo, et al.
(2024)
Closed Access
Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission
R. R. Martin, Catalina Morales-Hernández, C. Barbera, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1653-1666
Open Access
Using machine learning techniques to study of stress, depression, and academic performance of grade 12th students
Wudhijaya Philuek
Asian Journal of Education and Training (2024) Vol. 10, Iss. 3, pp. 146-153
Open Access
Predicting progression to dementia using auditory verbal learning test in community-dwelling older adults based on machine learning
Xinyan Xie, Lin-Ya Huang, Dan Liu, et al.
American Journal of Geriatric Psychiatry (2024)
Closed Access
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