Ping Lang
Impact in
- Aerospace Engineering top 10%
- Advanced SAR Imaging Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Radar Systems and Signal Processing
- Infrared Target Detection Methodologies
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- Advanced Neural Network Applications
Papers in
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- Advanced SAR Imaging Techniques 17
- Radar Systems and Signal Processing 10
- Synthetic Aperture Radar (SAR) Applications and Techniques 10
- Guidance and Control Systems 3
- Military Defense Systems Analysis 3
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- Advanced Neural Network Applications 4
- Image and Signal Denoising Methods 3
- Co-authors
- Xiongjun Fu (23 shared papers)Jian Dong (17 shared papers)Jian Yang (8 shared papers)Marco Martorella (3 shared papers)Rui Qin (1 shared paper)Heyan Huang (1 shared paper)Junjun Yin (4 shared papers)Chang Liu (1 shared paper)
In The Last Decade
Ping Lang
27 papers receiving 292 citations
Peers
Comparison fields: 5 of 53
- Aerospace Engineering 176
- Computer Vision and Pattern Recognition 73
- Oceanography 39
- Ocean Engineering 44
- Instrumentation 9
Countries citing papers authored by Ping Lang
This map shows the geographic impact of Ping Lang'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 Ping Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Lang more than expected).
Fields of papers citing papers by Ping Lang
This network shows the impact of papers produced by Ping Lang. 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 Ping Lang. The network helps show where Ping Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Lang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 31 | |
| 2 | 2021 | 28 | |
| 3 | 2022 | 28 | |
| 4 | 2020 | 24 | |
| 5 | 2023 | 22 | |
| 6 | 2021 | 20 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2024 | 13 | |
| 11 | 2021 | 10 | |
| 12 | 1999 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2025 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About Ping Lang
Ping Lang is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Ocean Engineering and Signal Processing, having authored 33 papers that have together received 299 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (17 papers), Radar Systems and Signal Processing (10 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Wireless Signal Modulation Classification (7 papers), Advanced Neural Network Applications (4 papers), Guidance and Control Systems (3 papers), Military Defense Systems Analysis (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Aerospace Engineering (176 citations), Computer Vision and Pattern Recognition (73 citations), Oceanography (39 citations), Ocean Engineering (44 citations) and Instrumentation (9 citations). Ping Lang has collaborated with scholars based in China and Italy. Frequent co-authors include Xiongjun Fu, Jian Dong, Jian Yang, Marco Martorella, Rui Qin, Heyan Huang, Junjun Yin, Chang Liu, Xingyu Lu and Zhong Liu. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Signal Processing Letters, IEEE Geoscience and Remote Sensing Letters and Remote Sensing.
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.