Yang S. Liu

575 total citations
41 papers, 317 citations indexed

About

Yang S. Liu is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Yang S. Liu has authored 41 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 11 papers in Psychiatry and Mental health and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Yang S. Liu's work include Mental Health Research Topics (6 papers), Functional Brain Connectivity Studies (6 papers) and Memory Processes and Influences (4 papers). Yang S. Liu is often cited by papers focused on Mental Health Research Topics (6 papers), Functional Brain Connectivity Studies (6 papers) and Memory Processes and Influences (4 papers). Yang S. Liu collaborates with scholars based in Canada, China and United Kingdom. Yang S. Liu's co-authors include Bo Cao, Pratap Chokka, Jason M. Harley, Andrew J. Greenshaw, Jeremy B. Caplan, Li Kuang, Su Hong, Jianmei Chen, Jun Cao and Ming Ai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecular Psychiatry.

In The Last Decade

Yang S. Liu

37 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang S. Liu Canada 11 75 73 69 65 46 41 317
Tamara De Regt Australia 9 97 1.3× 82 1.1× 78 1.1× 66 1.0× 28 0.6× 13 351
Ashok Sakhardande United Kingdom 6 101 1.3× 69 0.9× 89 1.3× 22 0.3× 46 1.0× 8 305
Aristide Saggino Italy 11 103 1.4× 66 0.9× 89 1.3× 31 0.5× 41 0.9× 28 341
Clelia Malighetti Italy 11 53 0.7× 36 0.5× 152 2.2× 53 0.8× 84 1.8× 21 355
Javad Hatami Iran 10 147 2.0× 62 0.8× 61 0.9× 67 1.0× 87 1.9× 47 375
Katja Umla‐Runge United Kingdom 7 83 1.1× 38 0.5× 65 0.9× 35 0.5× 42 0.9× 23 244
David Framorando Switzerland 11 147 2.0× 83 1.1× 78 1.1× 31 0.5× 61 1.3× 32 303
Wen Jia Chai Malaysia 7 175 2.3× 76 1.0× 52 0.8× 61 0.9× 53 1.2× 9 482
Marcos Llanero Luque Spain 9 69 0.9× 57 0.8× 101 1.5× 111 1.7× 24 0.5× 18 317
Caroline de Oliveira Cardoso Brazil 10 104 1.4× 62 0.8× 35 0.5× 100 1.5× 24 0.5× 33 305

Countries citing papers authored by Yang S. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yang S. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang S. Liu. 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 Yang S. Liu. The network helps show where Yang S. Liu may publish in the future.

Co-authorship network of co-authors of Yang S. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yang S. Liu. A scholar is included among the top collaborators of Yang S. Liu 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 Yang S. Liu. Yang S. Liu 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.
Liu, Yang S., Mengzhe Wang, Kathryn Dong, et al.. (2025). Population-level individualized prospective prediction of opioid overdose using machine learning. Molecular Psychiatry. 30(9). 4122–4127.
2.
3.
Qü, Ping, Xiaoqing Zhu, Hui Zhou, et al.. (2024). The effects of mindfulness enhanced Tai Chi Chuan training on mental and physical health among beginners: a randomized controlled trial. Frontiers in Psychology. 15. 1381009–1381009. 4 indexed citations
4.
Li, Yutong, Jie Sui, Russell Greiner, et al.. (2024). Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study. Journal of Affective Disorders. 357. 148–155. 7 indexed citations
5.
Liu, Yang S., Fernanda Talarico, Mengzhe Wang, et al.. (2024). Early identification of children with Attention-Deficit/Hyperactivity Disorder (ADHD). SHILAP Revista de lepidopterología. 3(11). e0000620–e0000620.
6.
Liu, Yang S., Christopher R. Madan, Kevin Y. Zhan, et al.. (2024). Brain age of rhesus macaques over the lifespan. Neurobiology of Aging. 139. 73–81. 1 indexed citations
7.
Lei, Qian, Jie Sui, Russell Greiner, et al.. (2023). Prediction of depression onset risk among middle-aged and elderly adults using machine learning and Canadian Longitudinal Study on Aging cohort. Journal of Affective Disorders. 339. 52–57. 14 indexed citations
8.
Liu, Yang S., et al.. (2023). The emergence of all-or-none retrieval of chunks in verbal serial recall. Memory & Cognition. 52(2). 352–372. 1 indexed citations
9.
Morton, Emma, Yang S. Liu, Bo Cao, et al.. (2023). Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder. The Journal of Clinical Psychiatry. 85(1). 1 indexed citations
10.
Huang, Tao, Fang Zhou, Yang S. Liu, et al.. (2023). A description of the current status of chronic fatigue syndrome and associated factors among university students in Wuhan, China. Frontiers in Psychiatry. 13. 1047014–1047014. 11 indexed citations
11.
Talarico, Fernanda, et al.. (2022). Systematic Review of Psychiatric Adverse Effects Induced by Chloroquine and Hydroxychloroquine: Case Reports and Population Studies. Annals of Pharmacotherapy. 57(4). 463–479. 6 indexed citations
12.
Liu, Yang S., Jake Hayward, Yanbo Zhang, et al.. (2022). Individualized Prospective Prediction of Opioid Use Disorder. The Canadian Journal of Psychiatry. 68(1). 54–63. 9 indexed citations
13.
Liu, Yang S., et al.. (2021). Screening for bipolar disorder in a tertiary mental health centre using EarlyDetect: A machine learning-based pilot study. Journal of Affective Disorders Reports. 6. 100215–100215. 12 indexed citations
14.
Liu, Yang S., et al.. (2021). Usability and Emotions of Mental Health Assessment Tools: Comparing Mobile App and Paper-and-Pencil Modalities. Journal of Technology in Human Services. 39(2). 193–211. 7 indexed citations
15.
Cao, Bo, Jeffrey A. Stanley, Yang S. Liu, et al.. (2021). Evidence of altered metabolism of cellular membranes in bipolar disorder comorbid with post-traumatic stress disorder. Journal of Affective Disorders. 289. 81–87. 2 indexed citations
16.
Harley, Jason M., Nigel Mantou Lou, Yang S. Liu, et al.. (2020). University students’ negative emotions in a computer-based examination: the roles of trait test-emotion, prior test-taking methods and gender. Assessment & Evaluation in Higher Education. 46(6). 956–972. 19 indexed citations
17.
Hong, Su, Yang S. Liu, Bo Cao, et al.. (2020). Identification of suicidality in adolescent major depressive disorder patients using sMRI: A machine learning approach.. Journal of Affective Disorders. 280(Pt A). 72–76. 45 indexed citations
18.
Cao, Liping, Jiangshan Chen, Yang S. Liu, et al.. (2020). Individualized identification of first-episode bipolar disorder using machine learning and cognitive tests. Journal of Affective Disorders. 282. 662–668. 8 indexed citations
19.
Spetch, Marcia L., Christopher R. Madan, Yang S. Liu, & Elliot A. Ludvig. (2020). Effects of winning cues and relative payout on choice between simulated slot machines. Addiction. 115(9). 1719–1727. 16 indexed citations
20.
Xu, Yayun, Jun Liang, Yin Cao, et al.. (2019). <p>Factors related to lithium blood concentrations in Chinese Han patients with bipolar disorder</p>. Neuropsychiatric Disease and Treatment. Volume 15. 1929–1937. 5 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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