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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:

Utilizing network analysis to understand the structure of depression in Chinese adolescents: Replication with three depression scales
Tong Xie, Jun Wen, Xiaoyan Liu, et al.
Current Psychology (2022) Vol. 42, Iss. 25, pp. 21597-21608
Open Access | Times Cited: 15

Showing 15 citing articles:

Comorbidity among symptoms of internet gaming disorder, social withdrawal, and depression in 3430 young people in Hong Kong: A network analysis
Ted C. T. Fong, Alvin Junus, Ming Wen, et al.
Journal of Affective Disorders (2024) Vol. 359, pp. 319-326
Closed Access | Times Cited: 8
An exploratory psychometric network analysis of depression scales in a sample of adolescents
Jun Fang, Yuanyuan An, Ting He
Journal of Affective Disorders (2025)
Closed Access
A new PHQ-2 for Chinese adolescents: identifying core items of the PHQ-9 by network analysis
Kaixin Liang, Sitong Chen, Yue Zhao, et al.
Child and Adolescent Psychiatry and Mental Health (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 9
Depressive symptoms and loneliness among early adolescents: a psychometric network analysis approach
Paweł Grygiel, Roman Dolata, Grzegorz Humenny, et al.
Journal of Child Psychology and Psychiatry (2023) Vol. 65, Iss. 2, pp. 199-214
Open Access | Times Cited: 9
Central symptoms and network associations of depressive symptoms among school-aged students: A network analysis
Tian Li, Jiahui Chen, Liu Yang, et al.
Journal of Affective Disorders (2023) Vol. 345, pp. 284-292
Closed Access | Times Cited: 8
Major depressive episode and postpartum depression: A network analysis comparison on the IGEDEPP cohort
Sarah Tebeka, Christophe Gauld, Raoul Belzeaux, et al.
European Psychiatry (2023) Vol. 66, Iss. 1
Open Access | Times Cited: 7
The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis
Tingwei Feng, Lei Ren, Chang Liu, et al.
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 10
Eating disorders symptoms and depressive symptoms in Chinese Tibetan University students: a network analysis
Ruipeng Wu, Zixuan Guang, Yingting Wang, et al.
BMC Psychiatry (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 4
Transmission of depressive symptoms in the nuclear family: a cross-sectional and cross-lagged network perspective
Wenrui Zhang, Ting He, Qinglu Wu, et al.
European Child & Adolescent Psychiatry (2024) Vol. 33, Iss. 9, pp. 3145-3155
Closed Access | Times Cited: 1
Machine learning and Bayesian network analyses identifies associations with insomnia in a national sample of 31,285 treatment-seeking college students
Adam Calderon, Seung Yeon Baik, Matthew H.S. Ng, et al.
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Factorial and network structure of the Reynolds Adolescent Depression Scale (RADS-2) in Peruvian adolescents
Cristian Ramos‐Vera, Gleni Quispe-Callo, Miguel Basauri-Delgado, et al.
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0286081-e0286081
Open Access | Times Cited: 3
Network analysis of depressive symptoms in South Korean adults: Similarities and differences between women and men
Duckhyun Jo, Hanjoo Kim
Current Psychology (2023) Vol. 43, Iss. 8, pp. 7193-7204
Closed Access | Times Cited: 2
Depressive symptom networks in the UK general adolescent population and in those looked after by local authorities
Pascal Schlechter, Tamsin Ford, Sharon Neufeld
BMJ Mental Health (2023) Vol. 26, Iss. 1, pp. e300707-e300707
Open Access | Times Cited: 2
Machine Learning and Bayesian Network Analyses Identifies Psychiatric Disorders and Symptom Associations with Insomnia in a national sample of 31,285 Treatment-Seeking College Students
Adam Calderon, Seung Yeon Baik, Matthew H.S. Ng, et al.
Research Square (Research Square) (2024)
Open Access
Unique longitudinal relationships between depressive symptoms and cognitive emotion regulation strategies in Chinese adolescents: a cross-lagged panel network analysis
Ting Yuan, Jiaxing Sun, X. Wang, et al.
Current Psychology (2024)
Closed Access
Prevalence, correlates, and network analysis of depression and its associated quality of life among ophthalmology nurses during the COVID-19 pandemic
Zihan Liu, Yue Li, Zirong Tian, et al.
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 1
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