Kun Bi

839 citations
44 papers · 582 · h-index 17

Impact in

Papers in

Kun Bi

43 papers receiving 570 citations

Peers

Kun Bi
Comparison fields: 5 of 85
  • Cognitive Neuroscience 224
  • Safety, Risk, Reliability and Quality 71
  • Experimental and Cognitive Psychology 69
  • Biophysics 30
  • Radiology, Nuclear Medicine and Imaging 56
Replace Erik Lee with:
Erik Lee United States
Nizhuan Wang China
M. Guazzelli Brazil
Ozan Özdenizci United States
Xiaoliang Zhang China
Gholam‐Ali Hossein‐Zadeh Iran
Muhammad Abul Hasan Pakistan
Jinnan Gong China
Brian Lithgow Australia
Etienne Combrisson France
Kun Bi relative to Erik Lee United States Erik Lee's profile →
Citations per field
00.5×3.9×
Erik Lee · 1×
Citations per year

Countries citing papers authored by Kun Bi

Since Specialization
Citations

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

Fields of papers citing papers by Kun Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201448
2 201033
3 201932
4 200628
5 201526
6 201626
7 201626
8 201324
9 201924
10 201823
11 201823
12 202022
13 201921
14 201021
15 200720
16 201917
17 201817
18 201916
19 201415
20 201814

About Kun Bi

Kun Bi is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering and Ocean Engineering, having authored 44 papers that have together received 582 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (11 papers), Fire dynamics and safety research (6 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Optical Coherence Tomography Applications (4 papers), Evacuation and Crowd Dynamics (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Combustion and Detonation Processes (3 papers). The work is most often cited by research in Cognitive Neuroscience (224 citations), Safety, Risk, Reliability and Quality (71 citations), Experimental and Cognitive Psychology (69 citations), Biophysics (30 citations) and Radiology, Nuclear Medicine and Imaging (56 citations). Kun Bi has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Qing Lü, Zhijian Yao, Rui Yan, Jiaolong Qin, Maobin Wei, Qingming Luo, Xianjia Huang, Shui Tian, Shaoqun Zeng and Hao Tang. Their work appears in journals such as Journal of Affective Disorders, Journal of X-Ray Science and Technology, Progress in Neuro-Psychopharmacology and Biological Psychiatry, European Psychiatry and Nuclear Engineering and Design.

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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