Fei Fei

86 papers receiving 1.3k citations

Peers

Fei Fei
Comparison fields: 5 of 122
  • Applied Mathematics 275
  • Human-Computer Interaction 87
  • Language and Linguistics 159
  • Computational Mechanics 285
  • Literature and Literary Theory 107
Replace Y. Y. Hung with:
Y. Y. Hung United States
Kazuhiko Sato Japan
Sl§awomir Wiak Poland
Yi‐Cheng Huang Taiwan
Daniel J. Burns United States
John C. Batchelor United Kingdom
Alex McLean Canada
Roger D. Hersch Switzerland
Edwin Chih-Chuan Kan United States
Yoichi Ochiai Japan
Fei Fei relative to Y. Y. Hung United States Y. Y. Hung's profile →
Citations per field
00.5×10×20×30×40×45.8×
Y. Y. Hung · 1×
Citations per year

Countries citing papers authored by Fei Fei

Since Specialization
Citations

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

Fields of papers citing papers by Fei Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009183
2 201996
3 201891
4 201159
5 201358
6 201756
7 201955
8 202040
9 201935
10 202034
11 201433
12 201729
13 201423
14 202123
15 202022
16 201722
17 202321
18 201319
19 202219
20 202018

About Fei Fei

Fei Fei is a scholar working on Applied Mathematics, Human-Computer Interaction, Computational Mechanics, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 95 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (14 papers), Muscle activation and electromyography studies (10 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Particle Dynamics in Fluid Flows (9 papers), Fluid Dynamics and Turbulent Flows (7 papers), Innovative Energy Harvesting Technologies (6 papers), EEG and Brain-Computer Interfaces (6 papers) and Smart Grid Energy Management (6 papers). The work is most often cited by research in Applied Mathematics (275 citations), Human-Computer Interaction (87 citations), Language and Linguistics (159 citations), Computational Mechanics (285 citations) and Literature and Literary Theory (107 citations). Fei Fei has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Jun Zhang, Wen Jung Li, Wenming Su, Zheng Cui, Xiaolian Chen, Shuhong Nie, Kimi Nakatsukasa, Xiaoqing Chen, Amy S. Thompson and Shaofeng Li. Their work appears in journals such as Physics of Fluids, Journal of Computational Physics, Sensors, Energies and Computer Physics Communications.

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.

Explore authors with similar magnitude of impact