Le Wang

87 papers receiving 1.0k citations

Peers

Le Wang
Comparison fields: 5 of 107
  • Civil and Structural Engineering 196
  • Atmospheric Science 143
  • Spectroscopy 123
  • Global and Planetary Change 129
  • Computational Theory and Mathematics 90
Replace A. G. Ivakhnenko with:
A. G. Ivakhnenko Ukraine
Manfred Aigner Germany
Miguel Vélez-Reyes Puerto Rico
Xiaojun Liu China
Xi Wang China
Tinghui Ouyang China
Haitao Zheng Singapore
Арун Кумар India
Ruochen Liu China
Peng Jiang China
Le Wang relative to A. G. Ivakhnenko Ukraine A. G. Ivakhnenko's profile →
Citations per field
00.5×7.2×
A. G. Ivakhnenko · 1×
Citations per year

Countries citing papers authored by Le Wang

Since Specialization
Citations

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

Fields of papers citing papers by Le Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201595
2 201776
3 201056
4 202148
5 200946
6 201545
7 200945
8 201041
9 202140
10 201139
11 202134
12 202032
13 201331
14 202226
15 201321
16 201320
17 201920
18 201019
19 202119
20 202118

About Le Wang

Le Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Information Systems and Artificial Intelligence, having authored 98 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Adaptive Control of Nonlinear Systems (7 papers), Data Management and Algorithms (5 papers), Rough Sets and Fuzzy Logic (5 papers), Fault Detection and Control Systems (4 papers), Energetic Materials and Combustion (4 papers), Advanced Sensor and Control Systems (4 papers) and Advanced Control Systems Optimization (4 papers). The work is most often cited by research in Civil and Structural Engineering (196 citations), Atmospheric Science (143 citations), Spectroscopy (123 citations), Global and Planetary Change (129 citations) and Computational Theory and Mathematics (90 citations). Le Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include A. Campargue, S. Kassi, Zhenbing Zhao, Ning Liu, Zhichun Yang, José Luis Silván-Cárdenas, T.P. Waters, Ruiyun Qi, Ning Guo and Yinghui Tian. Their work appears in journals such as Measurement Science and Technology, Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, Journal of Quantitative Spectroscopy and Radiative Transfer, Powder Technology and Journal of Sound and Vibration.

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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