Pu Wang
Impact in
- Spectroscopy top 5%
- Spectroscopy and Laser Applications
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- Photonic Crystal and Fiber Optics
- Advanced Fiber Optic Sensors
- Optical Network Technologies
- Photonic and Optical Devices
- Gas Sensing Nanomaterials and Sensors
Papers in
-
- Photonic Crystal and Fiber Optics 18
- Advanced Fiber Optic Sensors 7
- Optical Network Technologies 6
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- Advanced Fiber Laser Technologies 11
- Co-authors
- Yingying Wang (15 shared papers)Shoufei Gao (14 shared papers)Wei Ding (7 shared papers)Xin Zhang (3 shared papers)Shuai Gu (1 shared paper)Dongliang Jiang (1 shared paper)Wei Jin (5 shared papers)Haihong Bao (2 shared papers)
In The Last Decade
Pu Wang
33 papers receiving 904 citations
Pu Wang's Hit Papers
Peers
Comparison fields: 5 of 67
- Spectroscopy 300
- Electrical and Electronic Engineering 832
- Atomic and Molecular Physics, and Optics 318
- Biophysics 19
- Bioengineering 16
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-authors
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
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hollow-core conjoined-tube negative-curvature fibre with ultralow loss Hit paper breakdown → | 2018 | 296 |
| 2 | 2020 | 170 | |
| 3 | 2019 | 64 | |
| 4 | 2017 | 59 | |
| 5 | 2019 | 55 | |
| 6 | 2018 | 54 | |
| 7 | 2022 | 51 | |
| 8 | 2019 | 41 | |
| 9 | 2020 | 38 | |
| 10 | 2021 | 32 | |
| 11 | 2022 | 19 | |
| 12 | 2024 | 15 | |
| 13 | 2024 | 14 | |
| 14 | 2023 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2024 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 5 |
About Pu Wang
Pu Wang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Spectroscopy, Safety, Risk, Reliability and Quality and Ocean Engineering, having authored 39 papers that have together received 983 indexed citations. Recurring topics across this work include Photonic Crystal and Fiber Optics (18 papers), Advanced Fiber Laser Technologies (11 papers), Advanced Fiber Optic Sensors (7 papers), Spectroscopy and Laser Applications (7 papers), Optical Network Technologies (6 papers), Fire dynamics and safety research (4 papers), Fire Detection and Safety Systems (3 papers) and Evacuation and Crowd Dynamics (3 papers). The work is most often cited by research in Spectroscopy (300 citations), Electrical and Electronic Engineering (832 citations), Atomic and Molecular Physics, and Optics (318 citations), Biophysics (19 citations) and Bioengineering (16 citations). Pu Wang has collaborated with scholars based in China, Hong Kong and Belgium. Frequent co-authors include Yingying Wang, Shoufei Gao, Wei Ding, Xin Zhang, Shuai Gu, Dongliang Jiang, Wei Jin, Haihong Bao, Wei Ren and Pengcheng Zhao. Their work appears in journals such as Optics Letters, Nature Communications, Journal of Thermal Analysis and Calorimetry, Laser & Photonics Review and Journal of Lightwave Technology.
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.