Lin Wei

30 papers receiving 764 citations

Lin Wei's Hit Papers

Gradient-Based Differential Neural-Solution to Time-Dependent Nonlinear Optimization 2022 · 162 citations
1620+1+2Years since publication50100150

Peers

Lin Wei
Comparison fields: 5 of 67
  • Numerical Analysis 82
  • Environmental Engineering 116
  • Artificial Intelligence 301
  • Computational Mathematics 5
  • Computational Theory and Mathematics 105
Replace Alexandra Grancharova with:
Alexandra Grancharova Bulgaria
Edite M. G. P. Fernandes Portugal
Jiarong Shi China
Ran Dai United States
Hisham A. Shehadeh Jordan
Laurent Bako France
Xiujuan Du China
Mario Milanese Italy
Muhammad Usman Rafique United States
Yunpeng Pan United States
Lin Wei relative to Alexandra Grancharova Bulgaria Alexandra Grancharova's profile →
Citations per field
00.5×2×3×4×4.8×
Alexandra Grancharova · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gradient-Based Differential Neural-Solution to Time-Dependent Nonlinear Optimization
Hit paper breakdown →
2022162
2 2018149
3 201999
4 201952
5 202141
6 202441
7 200240
8 202239
9 201920
10 202219
11 202015
12 202114
13 201613
14 201812
15 20208
16 20248
17 20107
18 20247
19 20244
20 20244

About Lin Wei

Lin Wei is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications, having authored 30 papers that have together received 772 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Optimization and Variational Analysis (5 papers), Advanced Optimization Algorithms Research (5 papers), Remote-Sensing Image Classification (2 papers), Air Quality Monitoring and Forecasting (2 papers), Tree-ring climate responses (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Numerical Analysis (82 citations), Environmental Engineering (116 citations), Artificial Intelligence (301 citations), Computational Mathematics (5 citations) and Computational Theory and Mathematics (105 citations). Lin Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Long Jin, Shuai Li, Ke Chen, Chenguang Yang, Weibing Li, Xin Luo, Keping Liu, Zhongbo Sun, Jinxing Che and Xiaoning Liu. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Access, IEEE Transactions on Automation Science and Engineering, Computer Modeling in Engineering & Sciences and IEEE Transactions on Neural Networks and Learning 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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