Guobin Wan

658 citations
24 papers · 406 · h-index 13

Impact in

Papers in

Guobin Wan

22 papers receiving 402 citations

Peers

Guobin Wan
Comparison fields: 5 of 78
  • Cognitive Neuroscience 242
  • Aging 12
  • Biological Psychiatry 16
  • Psychiatry and Mental health 74
  • Occupational Therapy 16
Replace Elżbieta Kostrzewa with:
Elżbieta Kostrzewa Netherlands
Holly Hodges United Kingdom
Rachel K. Greene United States
Walid Yassin United States
Francesca Benassi Italy
Gabriele Tripi Italy
Masayuki Tani Japan
Annakarina Mundorf Germany
Chenyi Zuo China
Magali Segers Canada
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Citations per field
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Elżbieta Kostrzewa · 1×
Citations per year

Countries citing papers authored by Guobin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Guobin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201889
2 201558
3 201440
4 202127
5 201922
6 202218
7 202218
8 202117
9 202117
10 201916
11 202014
12 201414
13 201412
14 202110
15 20219
16 20207
17 20197
18 20205
19 20173
20
Application of the communication and symbolic behavior scales developmental profile infant/toddler checklist
20161

About Guobin Wan

Guobin Wan is a scholar working on Cognitive Neuroscience, Clinical Psychology, Psychiatry and Mental health, Genetics and Education, having authored 24 papers that have together received 406 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (12 papers), Child Development and Digital Technology (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Assistive Technology in Communication and Mobility (3 papers), Child Nutrition and Feeding Issues (2 papers), Infant Health and Development (2 papers) and Eating Disorders and Behaviors (2 papers). The work is most often cited by research in Cognitive Neuroscience (242 citations), Aging (12 citations), Biological Psychiatry (16 citations), Psychiatry and Mental health (74 citations) and Occupational Therapy (16 citations). Guobin Wan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhen Wei, Xuejun Kong, Zhe Feng, Binbin Sun, Jian Kong, Siyi Yu, Yiheng Tu, Joel Park, Kun Xia and Ying Hé. Their work appears in journals such as Frontiers in Psychiatry, Scientific Reports, Frontiers in Neuroscience, Journal of Autism and Developmental Disorders and European 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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