Ya Wang

5.0k citations
219 papers · 3.8k · h-index 33

Impact in

Papers in

Ya Wang

203 papers receiving 3.8k citations

Peers

Ya Wang
Comparison fields: 5 of 163
  • Psychiatry and Mental health 1.2k
  • Experimental and Cognitive Psychology 1.0k
  • Cognitive Neuroscience 1.1k
  • General Decision Sciences 53
  • Applied Psychology 129
Replace Idan Shalev with:
Idan Shalev United States
Leandro Fernandes Malloy‐Diniz Brazil
Rui Nouchi Japan
Iris Reinhard Germany
Matteo Cella United Kingdom
Oliver Tüscher Germany
Greg J. Norman United States
Marsha E. Bates United States
Michael R. Basso United States
Stefan Kaiser Switzerland
Ya Wang relative to Idan Shalev United States Idan Shalev's profile →
Citations per field
00.5×3.1×
Idan Shalev · 1×
Citations per year

Countries citing papers authored by Ya Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ya Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 219 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009172
2 2017170
3 2012168
4 2016143
5 2009118
6 2006105
7 200879
8 201577
9 201573
10 201271
11 200969
12 200968
13 201363
14 201658
15 201855
16 201354
17 201454
18 200750
19 201746
20 201745

About Ya Wang

Ya Wang is a scholar working on Experimental and Cognitive Psychology, Psychiatry and Mental health, Cognitive Neuroscience, Clinical Psychology and Social Psychology, having authored 219 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cognitive Functions and Memory (44 papers), Schizophrenia research and treatment (37 papers), Neural and Behavioral Psychology Studies (23 papers), Attention Deficit Hyperactivity Disorder (22 papers), Functional Brain Connectivity Studies (20 papers), Mental Health Research Topics (13 papers), Psychological and Temporal Perspectives Research (12 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). The work is most often cited by research in Psychiatry and Mental health (1.2k citations), Experimental and Cognitive Psychology (1.0k citations), Cognitive Neuroscience (1.1k citations), General Decision Sciences (53 citations) and Applied Psychology (129 citations). Ya Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Raymond C. K. Chan, Ji‐fang Cui, David Shum, Simon S. Y. Lui, Lu‐lu Liu, Eric F.C. Cheung, Xin Yu, Qiyong Gong, Yi Wang and Jia Huang. Their work appears in journals such as Psychiatry Research, Schizophrenia Research, Schizophrenia Bulletin, Frontiers in Psychiatry and PLoS ONE.

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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