Yumeng Ju

1.1k total citations · 1 hit paper
67 papers, 703 citations indexed

About

Yumeng Ju is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Yumeng Ju has authored 67 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Clinical Psychology, 27 papers in Experimental and Cognitive Psychology and 25 papers in Cognitive Neuroscience. Recurrent topics in Yumeng Ju's work include Functional Brain Connectivity Studies (25 papers), Mental Health Research Topics (23 papers) and Treatment of Major Depression (14 papers). Yumeng Ju is often cited by papers focused on Functional Brain Connectivity Studies (25 papers), Mental Health Research Topics (23 papers) and Treatment of Major Depression (14 papers). Yumeng Ju collaborates with scholars based in China, United States and Czechia. Yumeng Ju's co-authors include Bangshan Liu, Lingjiang Li, Jin Liu, Qiangli Dong, Xiaowen Lu, Mi Wang, Jinrong Sun, Mei Liao, Hua Guo and Hongkun Hu and has published in prestigious journals such as Psychological Medicine, Journal of Affective Disorders and Frontiers in Psychology.

In The Last Decade

Yumeng Ju

57 papers receiving 690 citations

Hit Papers

Gut microbiota-derived short-chain fatty acids and depres... 2024 2026 2025 2024 20 40 60

Peers

Yumeng Ju
Yumeng Ju
Citations per year, relative to Yumeng Ju Yumeng Ju (= 1×) peers Bangshan Liu

Countries citing papers authored by Yumeng Ju

Since Specialization
Citations

This map shows the geographic impact of Yumeng Ju's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yumeng Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yumeng Ju more than expected).

Fields of papers citing papers by Yumeng Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yumeng Ju. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yumeng Ju. The network helps show where Yumeng Ju may publish in the future.

Co-authorship network of co-authors of Yumeng Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Yumeng Ju. A scholar is included among the top collaborators of Yumeng Ju based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yumeng Ju. Yumeng Ju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Yumeng, et al.. (2025). EEG microstate analysis and machine learning classification in patients with obsessive-compulsive disorder. Journal of Psychiatric Research. 182. 186–194. 1 indexed citations
3.
Ju, Yumeng, Yumeng Yang, Rui Yuan, et al.. (2025). Examining the effects of school–vacation transitions on depression and anxiety in adolescents: network analysis. BJPsych Open. 11(1). e19–e19.
4.
Rehman, Shazia, Xinyi Wang, Weiguo Mao, et al.. (2025). Comparative assessment of Patient Health Questionnaire-9 and Edinburgh Postnatal Depression Scale for screening antenatal depression among Chinese pregnant women. Journal of Affective Disorders. 376. 104–112. 3 indexed citations
5.
Dong, Qiangli, Xiaotong Li, Yumeng Ju, et al.. (2025). Aberrant functional gradient of thalamo-cortical circuitry in major depressive disorder and generalized anxiety disorder. Journal of Affective Disorders. 376. 473–486. 1 indexed citations
6.
Xu, Mengqi, Shazia Rehman, Jin Liu, et al.. (2025). Exploring the relationship between childhood maltreatment and cognitive bias in Chinese adults with major depressive disorder. Humanities and Social Sciences Communications. 12(1).
7.
Qin, Xuemei, Weiguo Mao, Huiqin Li, et al.. (2024). Prevalence and risk factors of antenatal depression in the first trimester: A real-world cross-sectional study in a developed district in South China. Journal of Affective Disorders. 362. 853–858. 1 indexed citations
8.
Ju, Yumeng, Yunjing Li, Liang Li, et al.. (2024). Network analysis of suicide ideation and depression–anxiety symptoms among Chinese adolescents. General Psychiatry. 37(2). e101225–e101225. 17 indexed citations
9.
Qin, Xuemei, Ya‐Li Deng, Yumeng Ju, et al.. (2024). Association between gut microbiota and perinatal depression and anxiety among a pregnancy cohort in Hunan, China. Brain Behavior and Immunity. 125. 168–177. 3 indexed citations
10.
Meng, Fanyu, Xiaoya Liu, Bo Zhang, et al.. (2024). Diminished attention network activity and heightened salience-default mode transitions in generalized anxiety disorder: Evidence from resting-state EEG microstate analysis. Journal of Affective Disorders. 373. 227–236. 8 indexed citations
11.
Huang, Mei, et al.. (2023). Psychometric property study of the Affective Lability Scale-short form in Chinese patients with mood disorders. Frontiers in Psychiatry. 14. 1160791–1160791. 1 indexed citations
12.
Chen, Yihua, Yumeng Ju, Ying Bi, et al.. (2023). The kynurenine pathway in major depressive disorder under different disease states: A systematic review and meta-analysis. Journal of Affective Disorders. 339. 624–632. 12 indexed citations
13.
Liu, Jin, Bangshan Liu, Mi Wang, et al.. (2022). Relationship between childhood maltreatment and cognitive function in medication-free patients with major depressive disorder. European Archives of Psychiatry and Clinical Neuroscience. 273(5). 1073–1083. 5 indexed citations
14.
Liu, Bangshan, Mei Liao, Peng Yan, et al.. (2022). Efficacy and safety of nitrous oxide for patients with treatment-resistant depression, a randomized controlled trial. Psychiatry Research. 317. 114867–114867. 21 indexed citations
15.
Liu, Jin, Yiming Fan, Ling‐Li Zeng, et al.. (2021). The neuroprogressive nature of major depressive disorder: evidence from an intrinsic connectome analysis. Translational Psychiatry. 11(1). 102–102. 34 indexed citations
16.
Liu, Jin, Yumeng Ju, Yiming Fan, et al.. (2021). Functional connectivity evidence for state-independent executive function deficits in patients with major depressive disorder. Journal of Affective Disorders. 291. 76–82. 11 indexed citations
17.
Ju, Yumeng, Jin Liu, Roger Ng, et al.. (2021). Prevalence and predictors of post-traumatic stress disorder in patients with cured coronavirus disease 2019 (COVID-19) one month post-discharge. European journal of psychotraumatology. 12(1). 1915576–1915576. 10 indexed citations
18.
Qin, Xuemei, Mi Wang, Xiaowen Lu, et al.. (2021). Childhood Emotional Neglect Is Associated With Low Social Support in Chinese Patients With Major Depressive Disorder. Frontiers in Psychiatry. 12. 781738–781738. 8 indexed citations
19.
Chen, Yanchao, Jin Liu, Zexuan Li, et al.. (2020). The Tendency of Modified Electroconvulsive Therapy–Related Working Memory and Subjective Memory Deficits in Depression. Journal of Ect. 36(3). 198–204. 7 indexed citations
20.
Wang, Mi, Yumeng Ju, Xiaowen Lu, et al.. (2020). Longitudinal changes of amplitude of low-frequency fluctuations in MDD patients: A 6-month follow-up resting-state functional magnetic resonance imaging study. Journal of Affective Disorders. 276. 411–417. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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