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 18
- Synthetic Aperture Radar (SAR) Applications and Techniques 10
- Radar Systems and Signal Processing 9
- Guidance and Control Systems 3
- Infrared Target Detection Methodologies 3
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- Advanced Neural Network Applications 5
- Co-authors
- Xiongjun Fu (24 shared papers)Jian Dong (18 shared papers)Jian Yang (8 shared papers)Huizhang Yang (4 shared papers)Marco Martorella (3 shared papers)Rui Qin (1 shared paper)Heyan Huang (1 shared paper)Ze Zhang (1 shared paper)
In The Last Decade
Ping Lang
28 papers receiving 312 citations
Peers
Comparison fields: 5 of 53
- Aerospace Engineering 181
- Computer Vision and Pattern Recognition 79
- Oceanography 43
- Ocean Engineering 43
- 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 31 | |
| 2 | 2022 | 31 | |
| 3 | 2022 | 29 | |
| 4 | 2023 | 25 | |
| 5 | 2020 | 24 | |
| 6 | 2021 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2025 | 13 | |
| 12 | 1999 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2025 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2019 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2025 | 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 34 papers that have together received 319 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (18 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Radar Systems and Signal Processing (9 papers), Wireless Signal Modulation Classification (7 papers), Advanced Neural Network Applications (5 papers), Guidance and Control Systems (3 papers), Geophysical Methods and Applications (3 papers) and Infrared Target Detection Methodologies (3 papers). The work is most often cited by research in Aerospace Engineering (181 citations), Computer Vision and Pattern Recognition (79 citations), Oceanography (43 citations), Ocean Engineering (43 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, Huizhang Yang, Marco Martorella, Rui Qin, Heyan Huang, Ze Zhang, Qingxi Tong and Xiaoyan Kang. 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, Remote Sensing and IEEE Geoscience and Remote Sensing Letters.
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.