Pu Li

86 papers receiving 1.4k citations

Peers

Pu Li
Comparison fields: 5 of 87
  • Acoustics and Ultrasonics 71
  • Statistical and Nonlinear Physics 463
  • Artificial Intelligence 624
  • Computer Networks and Communications 405
  • Computer Vision and Pattern Recognition 283
Replace Minming Zhang with:
Minming Zhang China
Valerio Annovazzi-Lodi Italy
Nianqiang Li China
Guy Verschaffelt Belgium
Shuiying Xiang China
Apostolos Argyris Greece
Guang-Qiong Xia China
Gregory D. VanWiggeren United States
Tao Deng China
K.A. Shore United Kingdom
Pu Li relative to Minming Zhang China Minming Zhang's profile →
Citations per field
00.5×1.5×2.3×
Minming Zhang · 1×
Citations per year

Countries citing papers authored by Pu Li

Since Specialization
Citations

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

Fields of papers citing papers by Pu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201976
2 201067
3 201766
4 202059
5 201358
6 201158
7 202157
8 201252
9 201950
10 202045
11 201845
12 201645
13 202245
14 201244
15 202440
16 201840
17 201739
18 201635
19 201230
20 201730

About Pu Li

Pu Li is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 96 papers that have together received 1.6k indexed citations. Recurring topics across this work include Optical Network Technologies (25 papers), Neural Networks and Reservoir Computing (24 papers), Photonic and Optical Devices (23 papers), Chaos control and synchronization (20 papers), Nonlinear Dynamics and Pattern Formation (18 papers), Advanced Fiber Laser Technologies (17 papers), Semiconductor Lasers and Optical Devices (15 papers) and Chaos-based Image/Signal Encryption (12 papers). The work is most often cited by research in Acoustics and Ultrasonics (71 citations), Statistical and Nonlinear Physics (463 citations), Artificial Intelligence (624 citations), Computer Networks and Communications (405 citations) and Computer Vision and Pattern Recognition (283 citations). Pu Li has collaborated with scholars based in China, United Kingdom and Greece. Frequent co-authors include Yuncai Wang, Anbang Wang, K.A. Shore, Anbang Wang, Mingjiang Zhang, Adonis Bogris, Xiaomin Guo, Yanqiang Guo, Bingjie Xu and Longsheng Wang. Their work appears in journals such as Optics Express, Optics Letters, IEEE Photonics Technology Letters, Photonics and IEEE Journal of Selected Topics in Quantum Electronics.

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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