Wei Bai

3.8k total citations · 1 hit paper
86 papers, 2.3k citations indexed

About

Wei Bai is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Psychiatry and Mental health. According to data from OpenAlex, Wei Bai has authored 86 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Experimental and Cognitive Psychology, 15 papers in Clinical Psychology and 13 papers in Psychiatry and Mental health. Recurrent topics in Wei Bai's work include Mental Health Research Topics (22 papers), Tryptophan and brain disorders (12 papers) and Functional Brain Connectivity Studies (11 papers). Wei Bai is often cited by papers focused on Mental Health Research Topics (22 papers), Tryptophan and brain disorders (12 papers) and Functional Brain Connectivity Studies (11 papers). Wei Bai collaborates with scholars based in China, Macao and Hong Kong. Wei Bai's co-authors include Yu‐Tao Xiang, Teris Cheung, Zhaohui Su, Hong Cai, Qinge Zhang, Todd Jackson, Sha Sha, Changgui Kou, Chee H. Ng and Chunyang Wang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Wei Bai

79 papers receiving 2.3k citations

Hit Papers

Worldwide prevalence of mild cognitive impairment among c... 2022 2026 2023 2024 2022 50 100 150 200

Peers

Wei Bai
Comparison fields: 5 of 161
  • Experimental and Cognitive Psychology 625
  • Clinical Psychology 499
  • Cognitive Neuroscience 297
  • Psychiatry and Mental health 295
  • Social Psychology 203
Hong Cai China
Chao Qiang Jiang China
Azizi Seixas United States
Bang Zheng United Kingdom
Yanxia Lu China
Dian‐Jeng Li Taiwan
Aliakbar Vaisi-Raygani Iran
Yuko Odagiri Japan
Hannah Sallis United Kingdom
Hong Cai China View profile →
Citations per field, relative to Wei Bai
Wei Bai · 1×
Citations per year, relative to Wei Bai
Wei Bai · 1×

Countries citing papers authored by Wei Bai

Since Specialization
Citations

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

Fields of papers citing papers by Wei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Bai. A scholar is included among the top collaborators of Wei Bai 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 Wei Bai. Wei Bai 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
# Work Indexed citations
1 0
2 0
3 0
4 7
5 1
6 47
7 14
8 21
9 9
10 1
11 68
12 17
13 0
14 5
15 4
16 12
17 19
18 7
19 1
20 9

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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