Sixiang Liang

757 total citations · 1 hit paper
26 papers, 476 citations indexed

About

Sixiang Liang is a scholar working on Psychiatry and Mental health, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Sixiang Liang has authored 26 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Psychiatry and Mental health, 11 papers in Experimental and Cognitive Psychology and 10 papers in Clinical Psychology. Recurrent topics in Sixiang Liang's work include Mental Health Research Topics (9 papers), Functional Brain Connectivity Studies (7 papers) and Schizophrenia research and treatment (6 papers). Sixiang Liang is often cited by papers focused on Mental Health Research Topics (9 papers), Functional Brain Connectivity Studies (7 papers) and Schizophrenia research and treatment (6 papers). Sixiang Liang collaborates with scholars based in China, United States and Hong Kong. Sixiang Liang's co-authors include Kaizhong Xue, Feng Liu, Tengfei Tian, Yong Zhang, Sha Sha, Qian Wang, Zhe Wang, Wen Qin, Bingbing Yang and Chunshui Yu and has published in prestigious journals such as PLoS ONE, Brain Research and Psychological Medicine.

In The Last Decade

Sixiang Liang

23 papers receiving 470 citations

Hit Papers

Burnout and well-being of healthcare workers in the post-... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sixiang Liang China 11 208 169 126 81 81 26 476
Changjun Teng China 9 151 0.7× 90 0.5× 152 1.2× 51 0.6× 48 0.6× 16 375
Rumiko Koda Japan 3 122 0.6× 131 0.8× 167 1.3× 24 0.3× 141 1.7× 6 488
Karen E. Lythe United Kingdom 10 196 0.9× 208 1.2× 97 0.8× 23 0.3× 70 0.9× 12 411
Ashleigh Tickell Australia 10 81 0.4× 74 0.4× 143 1.1× 64 0.8× 96 1.2× 18 387
Charles South United States 12 117 0.6× 139 0.8× 120 1.0× 30 0.4× 98 1.2× 24 458
Ali Bani‐Fatemi Canada 13 117 0.6× 51 0.3× 193 1.5× 35 0.4× 141 1.7× 51 474
Neil Nixon United Kingdom 9 139 0.7× 135 0.8× 79 0.6× 23 0.3× 45 0.6× 21 312
Yicheng Long China 15 326 1.6× 213 1.3× 153 1.2× 13 0.2× 114 1.4× 37 582
Brenda Martini United States 6 138 0.7× 56 0.3× 249 2.0× 48 0.6× 30 0.4× 7 445
Lijuan Huo China 13 178 0.9× 53 0.3× 132 1.0× 67 0.8× 119 1.5× 31 453

Countries citing papers authored by Sixiang Liang

Since Specialization
Citations

This map shows the geographic impact of Sixiang Liang'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 Sixiang Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sixiang Liang more than expected).

Fields of papers citing papers by Sixiang Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sixiang Liang. 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 Sixiang Liang. The network helps show where Sixiang Liang may publish in the future.

Co-authorship network of co-authors of Sixiang Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Sixiang Liang. A scholar is included among the top collaborators of Sixiang Liang 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 Sixiang Liang. Sixiang Liang 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
3.
Deng, Yujiao, Jinhe Zhang, Xinyu Liu, et al.. (2025). Construction and verification of risk prediction model for suicidal attempts of mood disorder based on machine learning. Journal of Affective Disorders. 380. 279–287. 1 indexed citations
4.
Liu, Xinyu, Haoran Zhang, Yi Cui, et al.. (2024). EEG-based major depressive disorder recognition by neural oscillation and asymmetry. Frontiers in Neuroscience. 18. 1362111–1362111. 14 indexed citations
5.
Zhao, Xixi, et al.. (2024). Analysis of risk factors for pneumonia in patients with catatonia: a cross-sectional analysis. Frontiers in Psychiatry. 15. 1430194–1430194. 2 indexed citations
7.
Xie, Xiaomeng, Sha Sha, Robert Smith, et al.. (2023). Cognitive reserve in patients with mood disorders: Validation study of the Chinese version of the cognitive reserve assessment scale in health. Journal of Affective Disorders. 325. 480–486. 2 indexed citations
8.
Liu, Xinyu, Sixiang Liang, Jun Liu, et al.. (2023). Psychometric Properties of the Chinese Version of the ElectroConvulsive Therapy Cognitive Assessment. Journal of Ect. 40(3). 186–193. 1 indexed citations
9.
Zhang, Jinhe, Mengyang He, Xuan Wang, et al.. (2023). Association of sleep duration and risk of mental disorder: a systematic review and meta-analysis. Sleep And Breathing. 28(1). 261–280. 17 indexed citations
10.
Liang, Sixiang, Xinyu Liu, Dan Li, et al.. (2023). Development and validation of a nomogram to predict suicidal behavior in female patients with mood disorder. Frontiers in Psychiatry. 14. 1212579–1212579. 1 indexed citations
11.
Liang, Sixiang, Dan Li, Xinyu Liu, et al.. (2023). Development and validation of a prediction nomogram for non-suicidal self-injury in female patients with mood disorder. Frontiers in Psychiatry. 14. 1130335–1130335. 2 indexed citations
12.
Zhao, Yan-Jie, Tengfei Tian, Qian Wang, et al.. (2022). Post COVID-19 mental health symptoms and quality of life among COVID-19 frontline clinicians: a comparative study using propensity score matching approach. Translational Psychiatry. 12(1). 376–376. 10 indexed citations
14.
Cai, Hong, Yan-Jie Zhao, Tengfei Tian, et al.. (2022). Network Analysis of Comorbid Anxiety and Insomnia Among Clinicians with Depressive Symptoms During the Late Stage of the COVID-19 Pandemic: A Cross-Sectional Study. Nature and Science of Sleep. Volume 14. 1351–1362. 20 indexed citations
15.
Zhou, Ting, Changshun Xu, Sha Sha, et al.. (2022). Burnout and well-being of healthcare workers in the post-pandemic period of COVID-19: a perspective from the job demands-resources model. BMC Health Services Research. 22(1). 284–284. 100 indexed citations breakdown →
16.
Xue, Kaizhong, Lining Guo, Sixiang Liang, et al.. (2022). Transcriptional signatures of the cortical morphometric similarity network gradient in first-episode, treatment-naive major depressive disorder. Neuropsychopharmacology. 48(3). 518–528. 60 indexed citations
17.
Liang, Sixiang, Jinhe Zhang, Qian Zhao, et al.. (2021). Incidence Trends and Risk Prediction Nomogram for Suicidal Attempts in Patients With Major Depressive Disorder. Frontiers in Psychiatry. 12. 644038–644038. 11 indexed citations
18.
Liang, Sixiang, Xiaojuan Ma, Jian Zhang, et al.. (2020). Psychometric properties of the MATRICS Consensus Cognitive Battery (MCCB) in Chinese patients with major depressive disorder. Journal of Affective Disorders. 265. 132–138. 38 indexed citations
19.
Liang, Sixiang, Kaizhong Xue, Wenchen Wang, et al.. (2020). Altered brain function and clinical features in patients with first-episode, drug naïve major depressive disorder: A resting-state fMRI study. Psychiatry Research Neuroimaging. 303. 111134–111134. 25 indexed citations
20.
Zhang, Yong, Xiaojuan Ma, Sixiang Liang, et al.. (2019). Social cognition and interaction training (SCIT) for partially remitted patients with bipolar disorder in China. Psychiatry Research. 274. 377–382. 10 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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