Qingfei Chen

517 citations
40 papers · 384 · h-index 12

Impact in

Papers in

Qingfei Chen

39 papers receiving 377 citations

Peers

Qingfei Chen
Comparison fields: 5 of 63
  • Statistical and Nonlinear Physics 103
  • Cognitive Neuroscience 147
  • Developmental and Educational Psychology 76
  • Experimental and Cognitive Psychology 64
  • Computer Networks and Communications 83
Replace A. L. Steele with:
A. L. Steele Canada
Michael E. Loverude United States
Priscilla W. Laws United States
Tommi Nieminen Finland
Shyan-Shiou Chen Taiwan
Silke Dodel France
Matthew F. Tang Australia
Javier Baladron Germany
Róbert Mingesz Hungary
Chiara Zanini Italy
Qingfei Chen relative to A. L. Steele Canada A. L. Steele's profile →
Citations per field
00.5×2×3×3.6×
A. L. Steele · 1×
Citations per year

Countries citing papers authored by Qingfei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Qingfei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200835
2 201030
3 201428
4 201028
5 200822
6 201321
7 201516
8 200914
9 200514
10 200614
11 201713
12 201613
13 201911
14 200811
15 20179
16 20069
17 20198
18 20198
19 20158
20 20108

About Qingfei Chen

Qingfei Chen is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications, having authored 40 papers that have together received 384 indexed citations. Recurring topics across this work include Child and Animal Learning Development (11 papers), Neural and Behavioral Psychology Studies (10 papers), Neurobiology of Language and Bilingualism (9 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Chaos control and synchronization (6 papers), Mechanical and Optical Resonators (6 papers), Quantum chaos and dynamical systems (5 papers) and Reading and Literacy Development (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (103 citations), Cognitive Neuroscience (147 citations), Developmental and Educational Psychology (76 citations), Experimental and Cognitive Psychology (64 citations) and Computer Networks and Communications (83 citations). Qingfei Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ying‐Cheng Lai, Hong Li, Yi Lei, Liang Huang, Guanrong Chen, Kwangho Park, Yiguang Hong, Fuhong Li, Chun Ye and Celso Grebogi. Their work appears in journals such as Psychophysiology, Chaos An Interdisciplinary Journal of Nonlinear Science, International Journal of Psychophysiology, Applied Physics Letters and Physics Letters A.

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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