Quan Wang

934 citations
57 papers · 613 · h-index 14

Impact in

Papers in

Quan Wang

53 papers receiving 592 citations

Peers

Quan Wang
Comparison fields: 5 of 110
  • Cognitive Neuroscience 268
  • Human-Computer Interaction 62
  • Sensory Systems 44
  • Computer Graphics and Computer-Aided Design 33
  • Neurology 48
Replace Martin Jüttner with:
Martin Jüttner Germany
Jeffrey A. Saunders Hong Kong
Tatsuto Takeuchi Japan
Harold T. Nefs Netherlands
Jeremy B. Badler United States
Zhenlan Jin China
Adam Campbell United States
Jacqueline M. Fulvio United States
Yoav Cohen United States
Kazumichi Matsumiya Japan
Quan Wang relative to Martin Jüttner Germany Martin Jüttner's profile →
Citations per field
00.5×3.7×
Martin Jüttner · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201881
2 202064
3 201261
4 201940
5 202137
6 200529
7 201625
8 201824
9 201923
10 201823
11 201716
12 201614
13 201414
14 201514
15 202210
16 201910
17 20178
18 20148
19 20148
20 20247

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 57 papers that have together received 613 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Autism Spectrum Disorder Research (6 papers), Gaze Tracking and Assistive Technology (6 papers), EEG and Brain-Computer Interfaces (5 papers), Emotion and Mood Recognition (5 papers), Advanced Vision and Imaging (4 papers), Photoreceptor and optogenetics research (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (268 citations), Human-Computer Interaction (62 citations), Sensory Systems (44 citations), Computer Graphics and Computer-Aided Design (33 citations) and Neurology (48 citations). Quan Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Frederick Shic, Katarzyna Chawarska, Suzanne Macari, Jochen Triesch, Constantin A. Rothkopf, Mingliang Xiang, Yilin Shen, Fan Cui, Penghui Chen and Yilai Shu. Their work appears in journals such as PLoS Computational Biology, Frontiers in Neuroscience, PLoS ONE, Frontiers in Oncology and Remote Sensing.

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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