Lianming Wang
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
- Biophysics top 10%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
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- Advanced Neural Network Applications 3
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- Advanced Measurement and Detection Methods 3
- Co-authors
- Lei Yan (5 shared papers)Lei Pang (4 shared papers)Jipeng Huang (9 shared papers)Hao Xin (1 shared paper)Deqiang Wang (1 shared paper)Shili Liang (1 shared paper)Peng Yuan (2 shared papers)Peng Yuan (1 shared paper)
- Journals
- Neural Networks (1 paper)Engineering Applications of Artificial Intelligence (1 paper)IEEE Sensors Journal (1 paper)Complexity (1 paper)Computers and Electronics in Agriculture (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Lianming Wang
35 papers receiving 280 citations
Peers
Comparison fields: 5 of 96
- Analytical Chemistry 68
- Biophysics 27
- Signal Processing 22
- Industrial and Manufacturing Engineering 15
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Lianming Wang
This map shows the geographic impact of Lianming 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 Lianming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lianming Wang more than expected).
Fields of papers citing papers by Lianming Wang
This network shows the impact of papers produced by Lianming 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 Lianming Wang. The network helps show where Lianming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lianming Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 42 | |
| 2 | 2021 | 35 | |
| 3 | 2022 | 29 | |
| 4 | 2020 | 27 | |
| 5 | 2024 | 26 | |
| 6 | 2020 | 23 | |
| 7 | 2010 | 18 | |
| 8 | 2024 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2015 | 5 | |
| 13 | 2013 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2008 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2020 | 3 |
About Lianming Wang
Lianming Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering, Analytical Chemistry and Aerospace Engineering, having authored 37 papers that have together received 285 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (5 papers), Advanced Neural Network Applications (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Measurement and Detection Methods (3 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Image Fusion Techniques (2 papers), Adaptive Control of Nonlinear Systems (2 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in Analytical Chemistry (68 citations), Biophysics (27 citations), Signal Processing (22 citations), Industrial and Manufacturing Engineering (15 citations) and Computer Vision and Pattern Recognition (35 citations). Lianming Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lei Yan, Lei Pang, Jipeng Huang, Hao Xin, Deqiang Wang, Shili Liang, Peng Yuan, Peng Yuan, Qing Yang and Jianlei Kong. Their work appears in journals such as Neural Networks, Engineering Applications of Artificial Intelligence, IEEE Sensors Journal, Complexity and Computers and Electronics in Agriculture.
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.