Quan Wang

947 citations
58 papers · 597 · h-index 14

Impact in

Papers in

Quan Wang

54 papers receiving 578 citations

Peers

Quan Wang
Comparison fields: 5 of 115
  • Cognitive Neuroscience 274
  • Human-Computer Interaction 66
  • Sensory Systems 45
  • Computer Graphics and Computer-Aided Design 30
  • Neurology 51
Replace Tjeerd M. H. Dijkstra with:
Tjeerd M. H. Dijkstra Netherlands
Dobromir Dotov Canada
Jeffrey A. Saunders Hong Kong
Adam Campbell United States
Jeremy B. Badler United States
Harold T. Nefs Netherlands
Joseph L. Brooks United Kingdom
Kelly Shen Canada
Jian Ding United States
Stefano Baldassi Italy
Quan Wang relative to Tjeerd M. H. Dijkstra Netherlands Tjeerd M. H. Dijkstra's profile →
Citations per field
00.5×3.3×
Tjeerd M. H. Dijkstra · 1×
Citations per year

Countries citing papers authored by Quan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Quan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2 202062
3 201254
4 201939
5 202131
6 200529
7 201823
8 201923
9 201822
10 201621
11 202215
12 201714
13 201613
14 201413
15 201513
16 201910
17 20229
18 20228
19 20148
20 20148

About Quan Wang

Quan Wang is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 58 papers that have together received 597 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (9 papers), Gaze Tracking and Assistive Technology (7 papers), Neural dynamics and brain function (6 papers), Emotion and Mood Recognition (5 papers), Advanced Vision and Imaging (5 papers), Face Recognition and Perception (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Child Development and Digital Technology (4 papers). The work is most often cited by research in Cognitive Neuroscience (274 citations), Human-Computer Interaction (66 citations), Sensory Systems (45 citations), Computer Graphics and Computer-Aided Design (30 citations) and Neurology (51 citations). Quan Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Frederick Shic, Katarzyna Chawarska, Suzanne Macari, Yilin Shen, Fan Cui, Mingliang Xiang, Bin Ye, Constantin A. Rothkopf, Penghui Chen and Yilai Shu. Their work appears in journals such as Frontiers in Neuroscience, Applied Intelligence, PLoS Computational Biology, PLoS ONE and Schizophrenia Bulletin.

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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