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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:

Relative importance of perceived physical and social neighborhood characteristics for depression: a machine learning approach
Marco Helbich, Julian Hagenauer, Hannah Roberts
Social Psychiatry and Psychiatric Epidemiology (2019) Vol. 55, Iss. 5, pp. 599-610
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Measuring the 3-30-300 rule to help cities meet nature access thresholds
Matthew H.E.M. Browning, Dexter H. Locke, Cecil C. Konijnendijk, et al.
The Science of The Total Environment (2023) Vol. 907, pp. 167739-167739
Open Access | Times Cited: 46
Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function
Md Belal Bin Heyat, Faijan Akhtar, Farwa Munir, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 5883-5915
Open Access | Times Cited: 19
Predicting women with depressive symptoms postpartum with machine learning methods
Sam Andersson, Deepti R. Bathula, Stavros I. Iliadis, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 87
Outdoor light at night, air pollution and depressive symptoms: A cross-sectional study in the Netherlands
Marco Helbich, Matthew H.E.M. Browning, Anke Huss
The Science of The Total Environment (2020) Vol. 744, pp. 140914-140914
Open Access | Times Cited: 71
The impact of built environment on mental health: A COVID-19 lockdown perspective
Jie Xiao, Jianfeng Zhao, Zhiwen Luo, et al.
Health & Place (2022) Vol. 77, pp. 102889-102889
Open Access | Times Cited: 41
Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends
Md Belal Bin Heyat, Deepak Adhikari, Faijan Akhtar, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 1
Daily space-time activities, multiple environmental exposures, and anxiety symptoms: A cross-sectional mobile phone-based sensing study
Yuliang Lan, Hannah Roberts, Mei‐Po Kwan, et al.
The Science of The Total Environment (2022) Vol. 834, pp. 155276-155276
Open Access | Times Cited: 29
The mental health benefits of visiting canals and rivers: An ecological momentary assessment study
Nicol Bergou, Ryan Hammoud, Michael Smythe, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0271306-e0271306
Open Access | Times Cited: 27
Examining the non-linear association between the built environment around residence and the risk of obesity among children and adolescents at different school stages in Guangzhou and Shenzhen, China
Yiyi Chen, Ye Liu, George Grekousis, et al.
Cities (2023) Vol. 145, pp. 104674-104674
Closed Access | Times Cited: 13
Explainable deep learning predictions for illness risk of mental disorders in Nanjing, China
Ce Wang, Feng Lan, 一朗 漆崎
Environmental Research (2021) Vol. 202, pp. 111740-111740
Closed Access | Times Cited: 29
Perceived neighbourhood characteristics and depressive symptoms: Potential mediators and the moderating role of employment status
Hannah Roberts, Caspar J. Van Lissa, Marco Helbich
Social Science & Medicine (2020) Vol. 268, pp. 113533-113533
Open Access | Times Cited: 28
Screening for major depressive disorder in a tertiary mental health centre using EarlyDetect: A machine learning-based pilot study
Yang S. Liu, Jeffrey R. Hankey, Bo Cao, et al.
Journal of Affective Disorders Reports (2020) Vol. 3, pp. 100062-100062
Open Access | Times Cited: 21
How do Spatiotemporally Patterned Everyday Activities Explain Variations in People’s Mental Health?
Min Yang, Donggen Wang
Annals of the American Association of Geographers (2023) Vol. 113, Iss. 8, pp. 1781-1799
Open Access | Times Cited: 7
Discovery of depression-associated factors among childhood trauma victims from a large sample size: Using machine learning and network analysis
Yu Jin, Shicun Xu, Zhixian Shao, et al.
Journal of Affective Disorders (2023) Vol. 345, pp. 300-310
Closed Access | Times Cited: 7
Difference of depression between widowed and non-widowed older people in China: A network analysis approach
Haimin Pan, Qian Liu
Journal of Affective Disorders (2020) Vol. 280, pp. 68-76
Closed Access | Times Cited: 19
Assessing the perceived changes in neighborhood physical and social environments and how they are associated with Chinese internal migrants’ mental health
Min Yang, Julian Hagenauer, Martin Dijst, et al.
BMC Public Health (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 17
A Machine Learning Approach to Predicting New‐onset Depression in a Military Population
Laura Sampson, Tammy Jiang, Jaimie L. Gradus, et al.
Psychiatric Research and Clinical Practice (2021) Vol. 3, Iss. 3, pp. 115-122
Open Access | Times Cited: 16
Measuring the 3-30-300 Rule to Help Cities Meet Nature Access Thresholds
Matthew H.E.M. Browning, Dexter H. Locke, Cecil C. Konijnendijk, et al.
(2023)
Open Access | Times Cited: 6
The Impact of Social and Structural Determinants on Depression, Prescription Opioid Use, Opioid Misuse, and Opioid Use Disorder
Fred Rottnek, Jennifer Bello-Kottenstette
(2024), pp. 117-137
Closed Access | Times Cited: 1
Community based sociotherapy for depressive symptomatology of Congolese refugees in Rwanda and Uganda (CoSTAR): a protocol for a cluster randomised controlled trial
Daniel M. Kagabo, Paul Bangirana, Girvan Burnside, et al.
European journal of psychotraumatology (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Predictors of Five-Year Readmission to an Inpatient Service among Patients with Alcohol Use Disorders: Report from a Low-Middle Income Country
Abhishek Ghosh, Nidhi Sharma, Dalton Noble, et al.
Substance Use & Misuse (2021) Vol. 57, Iss. 1, pp. 123-133
Closed Access | Times Cited: 8
Estudo dos fatores sociais e pessoais relacionados com os sintomas depressivos na adolescência na Pandemia COVID-19
Tânia Gaspar, Susana Gaspar, Fábio Botelho Guedes, et al.
Análisis y Modificación de Conducta (2022) Vol. 48, Iss. 177, pp. 113-129
Open Access | Times Cited: 5
ORIGINAL ARTICLE: Associations of antidepressant medication with its various predictors including particulate matter: Machine learning analysis using national health insurance data
Kwang‐Sig Lee, Geunyeong Kim, Byung‐Joo Ham
Journal of Psychiatric Research (2022) Vol. 147, pp. 67-78
Closed Access | Times Cited: 4
Association between subjective well‐being and cognition of neighborhood places: An online questionnaire study conducted in the Tokyo metropolitan area
Shota Takamine, Haruhiko GOTO, Shu-hsien LIN, et al.
Japan Architectural Review (2024) Vol. 7, Iss. 1
Open Access
Neighborhood factors associated with late effects among survivors of adolescent and young adult cancer
Kimberly L. Cannavale, Lanfang Xu, Claudia Nau, et al.
Journal of Cancer Survivorship (2024)
Closed Access
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