Wei Pan

73 papers receiving 1.2k citations

Peers

Wei Pan
Comparison fields: 5 of 76
  • Statistical and Nonlinear Physics 661
  • Computer Networks and Communications 611
  • Acoustics and Ultrasonics 21
  • Artificial Intelligence 559
  • Electrical and Electronic Engineering 564
Replace Mengfan Cheng with:
Mengfan Cheng China
Hui Ye China
Damien Rontani France
Nianqiang Li China
Ned J. Corron United States
Apostolos Argyris Greece
Jun Muramatsu Japan
Toby Berger United States
Tohru Ikeguchi Japan
Maciej Ogorzałek Poland
Wei Pan relative to Mengfan Cheng China Mengfan Cheng's profile →
Citations per field
00.5×3.4×
Mengfan Cheng · 1×
Citations per year

Countries citing papers authored by Wei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014122
2 201095
3 201277
4 202269
5 201363
6 201262
7 201752
8 201248
9 201547
10 202146
11 201044
12 201643
13 201443
14 201638
15 201135
16 202434
17 201234
18 201334
19 200832
20 201329

About Wei Pan

Wei Pan is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chaos control and synchronization (34 papers), Nonlinear Dynamics and Pattern Formation (32 papers), Neural Networks and Reservoir Computing (22 papers), Optical Network Technologies (15 papers), Semiconductor Lasers and Optical Devices (9 papers), Rough Sets and Fuzzy Logic (9 papers), Data Mining Algorithms and Applications (6 papers) and Quantum Computing Algorithms and Architecture (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (661 citations), Computer Networks and Communications (611 citations), Acoustics and Ultrasonics (21 citations), Artificial Intelligence (559 citations) and Electrical and Electronic Engineering (564 citations). Wei Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bin Luo, Nianqiang Li, Lianshan Yan, Shuiying Xiang, Xihua Zou, Ning Jiang, Shui Ying Xiang, Byungchil Kim, Alexandre Locquet and Qinghua Hu. Their work appears in journals such as IEEE Photonics Technology Letters, Optics Express, Optics & Laser Technology, Journal of the Optical Society of America B and IEEE photonics journal.

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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