Li Hui

1.9k citations
86 papers · 1.3k · h-index 19

Impact in

Papers in

Li Hui

84 papers receiving 1.3k citations

Peers

Li Hui
Comparison fields: 5 of 89
  • Biological Psychiatry 248
  • Behavioral Neuroscience 99
  • Psychiatry and Mental health 388
  • Developmental Neuroscience 48
  • Cognitive Neuroscience 199
Replace Erik O’Hanlon with:
Erik O’Hanlon Ireland
Maryna Polyakova Germany
Virginia Soria Spain
Jolanta Kucharska–Mazur Poland
Darren Roddy Ireland
Abigail J. Sheldrick Germany
John A. Gurklis United States
Francesco Amico Ireland
HJ Möller Germany
Júlio Cesar Walz Brazil
Li Hui relative to Erik O’Hanlon Ireland Erik O’Hanlon's profile →
Citations per field
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Erik O’Hanlon · 1×
Citations per year

Countries citing papers authored by Li Hui

Since Specialization
Citations

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

Fields of papers citing papers by Li Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Li Hui, 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 Li Hui Line = papers co-authored together Li Hui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009148
2 2012117
3 201451
4 201838
5 202037
6 202036
7 201733
8 202233
9 202032
10 201530
11 201928
12 201927
13 201826
14 202025
15 201925
16 202023
17 202021
18 201320
19 201418
20 201518

About Li Hui

Li Hui is a scholar working on Psychiatry and Mental health, Biological Psychiatry, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (24 papers), Tryptophan and brain disorders (14 papers), Functional Brain Connectivity Studies (8 papers), Bipolar Disorder and Treatment (6 papers), Mental Health Research Topics (5 papers), Nerve injury and regeneration (4 papers), Attention Deficit Hyperactivity Disorder (4 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). The work is most often cited by research in Biological Psychiatry (248 citations), Behavioral Neuroscience (99 citations), Psychiatry and Mental health (388 citations), Developmental Neuroscience (48 citations) and Cognitive Neuroscience (199 citations). Li Hui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Da Chun Chen, Thomas R. Kosten, Mei Hong Xiu, Xiang Yang Zhang, Tianhong Zhang, Xu‐Feng Huang, Mei Han, Xiangyang Zhang, Jijun Wang and XiaoChen Tang. Their work appears in journals such as Schizophrenia Research, Scientific Reports, Psychological Medicine, Human Psychopharmacology Clinical and Experimental and Frontiers in 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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