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:

Which Risk Factors Matter More for Psychological Distress during the COVID-19 Pandemic? An Application Approach of Gradient Boosting Decision Trees
Yiyi Chen, Ye Liu
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5879-5879
Open Access | Times Cited: 24

Showing 24 citing articles:

Examining the importance of built and natural environment factors in predicting self-rated health in older adults: An extreme gradient boosting (XGBoost) approach
Yiyi Chen, Xian Zhang, George Grekousis, et al.
Journal of Cleaner Production (2023) Vol. 413, pp. 137432-137432
Closed Access | Times Cited: 36

Natural environments, psychosocial health, and health behaviors in a crisis – A scoping review of the literature in the COVID-19 context
Carina Nigg, Evi Petersen, Tadhg MacIntyre
Journal of Environmental Psychology (2023) Vol. 88, pp. 102009-102009
Open Access | Times Cited: 15

Nature exposure and mental health during the COVID-19 pandemic: A Navigation Guide systematic review with meta-analysis
Muhammad Mainuddin Patwary, Mondira Bardhan, Asma Safia Disha, et al.
Environmental Pollution (2024) Vol. 356, pp. 124284-124284
Closed Access | Times Cited: 7

Built environments and obesity: A framework considering residences, commute routes, and workplaces
Chun Yin, Zhe Zhang, Shaoqing Dai, et al.
Cities (2025) Vol. 160, pp. 105842-105842
Closed Access

Decoding health-related disasters through sociodemographic characteristics: Does Arab cultural context matter? Lessons from COVID-19
Mohammad Suleiman Awwad
International Journal of Disaster Risk Reduction (2025), pp. 105468-105468
Closed Access

Battling COVID-19 using machine learning: A review
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
Cogent Engineering (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 28

Examining the importance of neighborhood natural, and built environment factors in predicting older adults' mental well-being: An XGBoost-SHAP approach
Kaijun Liu, Changni Liao
Environmental Research (2024) Vol. 262, pp. 119929-119929
Closed Access | Times Cited: 4

Women's mental health and COVID-19: increased vulnerability and inequalities
Margareth Arilha, Adriana P Carvalho, Thais A. Forster, et al.
Frontiers in Global Women s Health (2024) Vol. 5
Open Access | Times Cited: 3

Prediction of Mental Health Problem Using Annual Student Health Survey: Machine Learning Approach
Ayako Baba, Kyosuke Bunji
JMIR Mental Health (2022) Vol. 10, pp. e42420-e42420
Open Access | Times Cited: 15

Do different types of urban streets lead to varying COVID-19 risk perceptions? An empirical study from a spatial heterogeneity perspective
Yongqi Hou, Chongxian Chen, Xiaoling Lin, et al.
Environmental Impact Assessment Review (2023) Vol. 104, pp. 107336-107336
Closed Access | Times Cited: 7

Lifestyle, Demographic and Socio-Economic Determinants of Mental Health Disorders of Employees in the European Countries
Dawid Majcherek, Arkadiusz Michał Kowalski, Małgorzata Stefania Lewandowska
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 19, pp. 11913-11913
Open Access | Times Cited: 8

The Interplay between Housing Environmental Attributes and Design Exposures and Psychoneuroimmunology Profile—An Exploratory Review and Analysis Paper in the Cancer Survivors’ Mental Health Morbidity Context
Eva Garrosa Hernández, E Chrysikou, Anastasia Z. Kalea
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 20, pp. 10891-10891
Open Access | Times Cited: 11

Predicting distant metastasis in nasopharyngeal carcinoma using gradient boosting tree model based on detailed magnetic resonance imaging reports
Yu-Liang Zhu, Xin-Lei Deng, X Zhang, et al.
World Journal of Radiology (2024) Vol. 16, Iss. 6, pp. 203-210
Open Access | Times Cited: 1

Exploring emotional stability: from conventional approaches to machine learning insights
Marcos Romero Madroñal, Eduar S. Ramírez, L. G. B. Ruiz, et al.
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access

Nature exposure and mental health during the COVID-19 pandemic: A Navigation Guide systematic review with meta-analysis
Muhammad Mainuddin Patwary, Mondira Bardhan, Asma Safia Disha, et al.
(2023)
Open Access | Times Cited: 1

Methods of Machine Learning in Epidemic Risk Assessment: The Case of the Covid-19
Sanket A. Deshmukh, Savleen Kaur
(2023) Vol. 8, pp. 1-7
Closed Access | Times Cited: 1

Rational Vaccine Design for SARS-CoV-2 Virus—A Systematic Review
Aritra Ghosh, Mirjana Pavlović, María M. Larrondo-Petrie
(2023)
Open Access | Times Cited: 1

True-Color Reconstruction Based on Hyperspectral LiDAR Echo Energy
Tengfeng Wang, Xiaoxia Wan, Bowen Chen, et al.
Remote Sensing (2021) Vol. 13, Iss. 15, pp. 2854-2854
Open Access | Times Cited: 1

Page 1

Scroll to top