Fangbing Qu

445 citations
16 papers · 265 · h-index 7

Impact in

Papers in

Fangbing Qu

13 papers receiving 252 citations

Peers

Fangbing Qu
Comparison fields: 5 of 50
  • Experimental and Cognitive Psychology 159
  • Computer Vision and Pattern Recognition 150
  • Human-Computer Interaction 30
  • Cognitive Neuroscience 62
  • Signal Processing 28
Replace Renaud Séguier with:
Renaud Séguier France
Marc Oliu Simón Spain
Robert Walecki United Kingdom
Itır Önal Ertuğrul United States
Mohammad Faridul Haque Siddiqui United States
Eliane Pozzebon Brazil
Jinhyeok Jang South Korea
Jihyeon Roh South Korea
Xunbing Shen China
Fangbing Qu relative to Renaud Séguier France Renaud Séguier's profile →
Citations per field
00.5×1.5×2.1×
Renaud Séguier · 1×
Citations per year

Countries citing papers authored by Fangbing Qu

Since Specialization
Citations

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

Fields of papers citing papers by Fangbing Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Fangbing Qu, 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 Fangbing Qu Line = papers co-authored together Fangbing Qu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2017197
2 201810
3 202110
4 20179
5 20138
6 20167
7 20206
8 20226
9 20164
10 20143
11 20132
12 20172
13 20231
14 20230
15 20250
16 20210

About Fangbing Qu

Fangbing Qu is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Sociology and Political Science and Political Science and International Relations, having authored 16 papers that have together received 265 indexed citations. Recurring topics across this work include Action Observation and Synchronization (4 papers), Face Recognition and Perception (3 papers), Neural and Behavioral Psychology Studies (3 papers), Deception detection and forensic psychology (3 papers), Multisensory perception and integration (2 papers), Hearing Loss and Rehabilitation (2 papers), Psychology of Moral and Emotional Judgment (2 papers) and Language, Metaphor, and Cognition (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (159 citations), Computer Vision and Pattern Recognition (150 citations), Human-Computer Interaction (30 citations), Cognitive Neuroscience (62 citations) and Signal Processing (28 citations). Fangbing Qu has collaborated with scholars based in China and United States. Frequent co-authors include Xiaolan Fu, Sujing Wang, Wen‐Jing Yan, He Li, Shuhang Wu, Haosheng Ye, Yuan Zhong, Jianping Wang, Rong Yin and Yu-Hsin Chen. Their work appears in journals such as Frontiers in Psychology, Frontiers in Neuroscience, Brain Research, Frontiers in Public Health and Experimental Brain Research.

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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