Xing Pei

2.0k citations
38 papers · 1.7k · h-index 23

Impact in

Papers in

Xing Pei

37 papers receiving 1.7k citations

Peers

Xing Pei
Comparison fields: 5 of 103
  • Statistical and Nonlinear Physics 873
  • Cognitive Neuroscience 1.1k
  • Computer Networks and Communications 573
  • Cellular and Molecular Neuroscience 403
  • Nature and Landscape Conservation 85
Replace Jonathan Touboul with:
Jonathan Touboul France
Timothy J. Lewis United States
Martin Stemmler Germany
Teresa Ree Chay United States
Mathieu Desroches France
Juan G. Restrepo United States
Eric Shea‐Brown United States
Sonya Bahar United States
Gerda de Vries Canada
Inbal Ayzenshtat United States
Xing Pei relative to Jonathan Touboul France Jonathan Touboul's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xing Pei

Since Specialization
Citations

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

Fields of papers citing papers by Xing Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999161
2 2000156
3 1996124
4 1994115
5 1996110
6 201797
7 199796
8 199694
9 199783
10 199679
11 199371
12 199967
13 199553
14 199548
15 199132
16 200132
17 199631
18 199130
19 200028
20 201626

About Xing Pei

Xing Pei is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Networks and Communications, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), stochastic dynamics and bifurcation (13 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Chaos control and synchronization (6 papers), Visual perception and processing mechanisms (6 papers), Neurobiology and Insect Physiology Research (4 papers), Color Science and Applications (3 papers) and Fish biology, ecology, and behavior (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (873 citations), Cognitive Neuroscience (1.1k citations), Computer Networks and Communications (573 citations), Cellular and Molecular Neuroscience (403 citations) and Nature and Landscape Conservation (85 citations). Xing Pei has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Frank Moss, Lon A. Wilkens, Maxim Volgushev, Trichur R. Vidyasagar, Hans Braun, Martin Huber, Alexander Neiman, Winfried Wojtenek, Karlheinz Voigt and David F. Russell. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Neurocomputing, Journal of Computational Neuroscience, Physical Review Letters and Visual Neuroscience.

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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