Wei Pan

5.0k citations
158 papers · 3.1k · 1 hit paper · h-index 28

Impact in

Papers in

Wei Pan

125 papers receiving 3.0k citations

Wei Pan's Hit Papers

Robust tube-based model predictive control with Koopman operators 2022 · 112 citations
1120+1+2Years since publication255075100

Peers

Wei Pan
Comparison fields: 5 of 164
  • Control and Systems Engineering 805
  • Transportation 174
  • Statistical and Nonlinear Physics 297
  • Computer Vision and Pattern Recognition 462
  • Computer Networks and Communications 509
Replace Matthew Lai with:
Matthew Lai United Kingdom
Thomas Hubert United Kingdom
Hui Fan China
Yutian Chen China
Lucas Baker United States
Bo Liu China
Emile Aarts Netherlands
Jian Lü China
Lei Li China
Iain Murray United Kingdom
Wei Pan relative to Matthew Lai United Kingdom Matthew Lai's profile →
Citations per field
00.5×5.1×
Matthew Lai · 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 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011295
2 1997275
3 2017220
4 2011146
5 2019139
6
Towards Accurate Binary Convolutional Neural Network
2017123
7
Robust tube-based model predictive control with Koopman operators
Hit paper breakdown →
2022112
8 2015100
9 202087
10 202086
11 202183
12 201580
13 200969
14 202169
15 202165
16 202359
17 201152
18 202149
19 201147
20 202147

About Wei Pan

Wei Pan is a scholar working on Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, Molecular Biology and Computer Vision and Pattern Recognition, having authored 158 papers that have together received 3.1k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (13 papers), Gene Regulatory Network Analysis (12 papers), Advanced Control Systems Optimization (11 papers), Robotic Path Planning Algorithms (8 papers), Control Systems and Identification (7 papers), Bioinformatics and Genomic Networks (7 papers), Adaptive Dynamic Programming Control (6 papers) and Distributed Control Multi-Agent Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (805 citations), Transportation (174 citations), Statistical and Nonlinear Physics (297 citations), Computer Vision and Pattern Recognition (462 citations) and Computer Networks and Communications (509 citations). Wei Pan has collaborated with scholars based in China, United Kingdom and Netherlands. Frequent co-authors include Alex Pentland, Weitao Yang, Nadav Aharony, Yingkai Zhang, Inas S. Khayal, Ye Yuan, Jorge Gonçalves, Chengwei Wu, Ligang Wu and Cong Zhao. Their work appears in journals such as Automatica, IEEE Robotics and Automation Letters, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Control of Network Systems and IEEE Transactions on Intelligent Transportation Systems.

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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