Weihui Li

1.8k citations
62 papers · 1.4k · h-index 21

Impact in

Papers in

Weihui Li

61 papers receiving 1.4k citations

Peers

Weihui Li
Comparison fields: 5 of 110
  • Behavioral Neuroscience 137
  • Biological Psychiatry 93
  • Cognitive Neuroscience 416
  • Clinical Psychology 382
  • Experimental and Cognitive Psychology 160
Replace Marc D. Rudolph with:
Marc D. Rudolph United States
Andrea Escelsior Italy
Mitzy Kennis Netherlands
Cai‐Lan Hou China
Milissa L. Kaufman United States
Janik Goltermann Germany
Xueli Sun China
Verena Enneking Germany
Muriah D. Wheelock United States
Jacklynn M. Fitzgerald United States
Weihui Li relative to Marc D. Rudolph United States Marc D. Rudolph's profile →
Citations per field
00.5×2×3×3.8×
Marc D. Rudolph · 1×
Citations per year

Countries citing papers authored by Weihui Li

Since Specialization
Citations

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

Fields of papers citing papers by Weihui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weihui Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weihui Li Line = papers co-authored together Weihui Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013213
2 201192
3 200787
4 201385
5 201279
6 201169
7 201446
8 201544
9 202144
10 202138
11 201738
12 200637
13 201536
14 201335
15 201131
16 202030
17 202025
18 201825
19 202223
20 202023

About Weihui Li

Weihui Li is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Clinical Psychology, Psychiatry and Mental health and Pharmacology, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Posttraumatic Stress Disorder Research (7 papers), Mental Health Research Topics (7 papers), Treatment of Major Depression (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), COVID-19 and Mental Health (5 papers), Mental Health Treatment and Access (4 papers) and Psychiatric care and mental health services (3 papers). The work is most often cited by research in Behavioral Neuroscience (137 citations), Biological Psychiatry (93 citations), Cognitive Neuroscience (416 citations), Clinical Psychology (382 citations) and Experimental and Cognitive Psychology (160 citations). Weihui Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lingjiang Li, Zexuan Li, Mei Liao, Yan Zhang, Zhong He, Li Zhang, Hongjun Peng, Lifeng Wang, Jun Liu and Shaojia Lu. Their work appears in journals such as Journal of Affective Disorders, Frontiers in Psychiatry, Psychiatry Research, Brain Research and Asia-Pacific Psychiatry.

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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