Jin Lü
- Clinical Psychology top 1%
- Suicide and Self-Harm Studies 18
- Child and Adolescent Psychosocial and Emotional Development 17
- Child Abuse and Trauma 11
- Applied Psychology top 1%
- Digital Mental Health Interventions 9
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- Mental Health Research Topics 11
- General Health Professions top 1%
- Biological Psychiatry top 5%
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- Bullying, Victimization, and Aggression 9
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- Functional Brain Connectivity Studies 8
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- Impact of Technology on Adolescents 6
- Co-authors
- Bin FanYunyun FangCordelia J. FullerZhiqiang GuanJunhui KongPing WuChristina W. HovenEzra Susser
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Jin Lü
78 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Clinical Psychology 1.7k
- Applied Psychology 406
- Experimental and Cognitive Psychology 478
- General Health Professions 785
- Biological Psychiatry 71
Countries citing papers authored by Jin Lü
This map shows the geographic impact of Jin Lü'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 Jin Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Lü more than expected).
Fields of papers citing papers by Jin Lü
This network shows the impact of papers produced by Jin Lü. 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 Jin Lü. The network helps show where Jin Lü may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Lü, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 25 | |
| 9 | 2020 | 46 | |
| 10 | 2019 | 63 | |
| 11 | 2019 | 2 | |
| 12 | 2019 | 17 | |
| 13 | 2018 | 14 | |
| 14 | 2018 | 0 | |
| 15 | 2017 | 1 | |
| 16 | 2016 | 50 | |
| 17 | Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization | 2015 | 34 |
| 18 | 2010 | 23 | |
| 19 | 2008 | 289 | |
| 20 | EPIDEMIOLOGY Alcohol Abuse/Dependence Symptoms Among Hospital Employees Exposed to a SARS Outbreak | 2008 | 1 |
About Jin Lü
Jin Lü is a scholar working on Applied Psychology, Computational Mathematics and Clinical Psychology, having authored 85 papers that have together received 3.1k indexed citations. Recurring topics across this work include Suicide and Self-Harm Studies (18 papers), Child and Adolescent Psychosocial and Emotional Development (17 papers), Mental Health Research Topics (11 papers), Child Abuse and Trauma (11 papers), Bullying, Victimization, and Aggression (9 papers), Digital Mental Health Interventions (9 papers), Functional Brain Connectivity Studies (8 papers) and Impact of Technology on Adolescents (6 papers). The work is most often cited by research in Clinical Psychology (1.7k citations), Applied Psychology (406 citations) and Experimental and Cognitive Psychology (478 citations). Jin Lü has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Bin Fan, Yunyun Fang, Cordelia J. Fuller, Zhiqiang Guan, Junhui Kong, Ping Wu, Christina W. Hoven, Ezra Susser, Xinhua Liu and Jinbo Bi. Their work appears in journals such as Journal of Affective Disorders, Oncotarget, PeerJ, BMC Public Health and Scientific Reports.
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.