Xinming Tang
- Media Technology top 1%
- Advanced Image Fusion Techniques 9
- Geology top 5%
- 3D Surveying and Cultural Heritage 15
- Ocean Engineering top 2%
- Satellite Image Processing and Photogrammetry 21
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 21
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- Synthetic Aperture Radar (SAR) Applications and Techniques 12
- Infrared Target Detection Methodologies 8
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- Remote Sensing in Agriculture 9
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- Data Management and Algorithms 8
Xinming Tang
73 papers receiving 902 citations
Peers
Comparison fields: 5 of 79
- Media Technology 286
- Geology 110
- Ocean Engineering 243
- Environmental Engineering 207
- Computer Vision and Pattern Recognition 255
Countries citing papers authored by Xinming Tang
This map shows the geographic impact of Xinming Tang'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 Xinming Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinming Tang more than expected).
Fields of papers citing papers by Xinming Tang
This network shows the impact of papers produced by Xinming Tang. 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 Xinming Tang. The network helps show where Xinming Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinming Tang, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 54 | |
| 16 | 2019 | 29 | |
| 17 | 2019 | 16 | |
| 18 | 2019 | 6 | |
| 19 | International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining | 2009 | 6 |
| 20 | Spatial object model[l]ing in fuzzy topological spaces : with applications to land cover change | 2004 | 39 |
About Xinming Tang
Xinming Tang is a scholar working on Geology, Environmental Engineering and Ocean Engineering, having authored 77 papers that have together received 938 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (21 papers), Satellite Image Processing and Photogrammetry (21 papers), 3D Surveying and Cultural Heritage (15 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (12 papers), Advanced Image Fusion Techniques (9 papers), Remote Sensing in Agriculture (9 papers), Infrared Target Detection Methodologies (8 papers) and Data Management and Algorithms (8 papers). The work is most often cited by research in Media Technology (286 citations), Geology (110 citations) and Ocean Engineering (243 citations). Xinming Tang has collaborated with scholars based in China, Austria and Australia. Frequent co-authors include Xiaoming Gao, Junfeng Xie, Fang Hu, Zhu Han, Wanshou Jiang, Jianya Gong, Xin Huang, Hongzhao Tang, Chun Liu and Huijun Chen. Their work appears in journals such as Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, Sensors and IEEE Journal of Selected Topics in Applied Earth Observations 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.