Lin Wei

932 citations
31 papers · 691 · 1 hit paper · h-index 13

Impact in

Papers in

Lin Wei

30 papers receiving 678 citations

Lin Wei's Hit Papers

Gradient-Based Differential Neural-Solution to Time-Dependent Nonlinear Optimization 2022 · 127 citations
1270+1+2Years since publication4080120

Peers

Lin Wei
Comparison fields: 5 of 90
  • Control and Systems Engineering 239
  • Environmental Engineering 116
  • Health, Toxicology and Mutagenesis 97
  • Computational Mathematics 4
  • Artificial Intelligence 198
Replace Juš Kocijan with:
Juš Kocijan Slovenia
Jesús Carlos Pedraza‐Ortega Mexico
Shimin Wei China
Weijie Ren China
Ziqing Ma China
Fakhrul Alam New Zealand
Yisha Liu China
Minghao Chen China
Haitao He China
Lin Wei relative to Juš Kocijan Slovenia Juš Kocijan's profile →
Citations per field
00.5×2.6×
Juš Kocijan · 1×
Citations per year

Countries citing papers authored by Lin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018143
2
Gradient-Based Differential Neural-Solution to Time-Dependent Nonlinear Optimization
Hit paper breakdown →
2022127
3 201997
4 201952
5 200239
6 202135
7 202233
8 202430
9 201919
10 202015
11 202215
12 202114
13 201612
14 201811
15 20208
16 20107
17 20246
18 20245
19 20243
20 20153

About Lin Wei

Lin Wei is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Atmospheric Science and Statistical and Nonlinear Physics, having authored 31 papers that have together received 691 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Adaptive Control of Nonlinear Systems (4 papers), Robotic Mechanisms and Dynamics (4 papers), Machine Learning and ELM (3 papers), Iterative Learning Control Systems (3 papers), Distributed Control Multi-Agent Systems (3 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Control and Systems Engineering (239 citations), Environmental Engineering (116 citations), Health, Toxicology and Mutagenesis (97 citations), Computational Mathematics (4 citations) and Artificial Intelligence (198 citations). Lin Wei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Long Jin, Shuai Li, Chenguang Yang, Ke Chen, Weibing Li, Keping Liu, Zhongbo Sun, Xin Luo, Xiaoning Liu and Wenlong Gao. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Access, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Emerging Topics in Computational Intelligence and Engineering Applications of Artificial Intelligence.

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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