Pu Wang
- Signal Processing top 1%
-
- Advanced Fiber Laser Technologies 80
- Laser-Matter Interactions and Applications 38
- Aerospace Engineering top 0.5%
- Radar Systems and Signal Processing 37
- Advanced SAR Imaging Techniques 30
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- Photonic Crystal and Fiber Optics 59
- Solid State Laser Technologies 37
- Indoor and Outdoor Localization Technologies 22
- Millimeter-Wave Propagation and Modeling 20
- Ceramics and Composites top 5%
- Journals
- Optics Express (18 papers)IEEE Transactions on Signal Processing (10 papers)Optics Letters (7 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Pu Wang
248 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 142
- Signal Processing 670
- Atomic and Molecular Physics, and Optics 1.7k
- Aerospace Engineering 1.2k
- Electrical and Electronic Engineering 2.7k
- Ceramics and Composites 144
Countries citing papers authored by Pu Wang
This map shows the geographic impact of Pu 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 Pu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Wang more than expected).
Fields of papers citing papers by Pu Wang
This network shows the impact of papers produced by Pu 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 Pu Wang. The network helps show where Pu Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 38 | |
| 15 | 2020 | 20 | |
| 16 | Towards AI-Assisted Smart Training Platform for Future Manufacturing Workforce | 2020 | 1 |
| 17 | 2019 | 20 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 12 | |
| 20 | Development of Control System for Isolated Heat Exchange Energy-Saving Test Platform | 2013 | 0 |
About Pu Wang
Pu Wang is a scholar working on Signal Processing, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Aerospace Engineering and Control and Systems Engineering, having authored 270 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Fiber Laser Technologies (80 papers), Photonic Crystal and Fiber Optics (59 papers), Laser-Matter Interactions and Applications (38 papers), Radar Systems and Signal Processing (37 papers), Solid State Laser Technologies (37 papers), Advanced SAR Imaging Techniques (30 papers), Indoor and Outdoor Localization Technologies (22 papers) and Millimeter-Wave Propagation and Modeling (20 papers). The work is most often cited by research in Signal Processing (670 citations), Atomic and Molecular Physics, and Optics (1.7k citations), Aerospace Engineering (1.2k citations), Electrical and Electronic Engineering (2.7k citations) and Ceramics and Composites (144 citations). Pu Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hongbin Li, Braham Himed, Jun Fang, Jia Xu, Quan‐Hong Yang, Sida Wu, Philip V. Orlik, Igor Djurović, Jiang Liu and Toshiaki Koike‐Akino. Their work appears in journals such as Optics Express, IEEE Transactions on Signal Processing, Optics Letters, IEEE Photonics Technology Letters and Journal of Crystal Growth.
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.