Gang Wan
- Media Technology top 0.2%
- Remote-Sensing Image Classification 10
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- Advanced Image and Video Retrieval Techniques 7
- Video Surveillance and Tracking Methods 4
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization 8
- Atmospheric Science top 5%
- Remote Sensing and Land Use 7
- Environmental Engineering top 5%
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- Planetary Science and Exploration 8
- Astro and Planetary Science 6
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- Electric and Hybrid Vehicle Technologies 5
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Gang Wan
57 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Media Technology 1.1k
- Computer Vision and Pattern Recognition 1.3k
- Aerospace Engineering 543
- Atmospheric Science 299
- Environmental Engineering 157
Countries citing papers authored by Gang Wan
This map shows the geographic impact of Gang Wan'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 Gang Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Wan more than expected).
Fields of papers citing papers by Gang Wan
This network shows the impact of papers produced by Gang Wan. 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 Gang Wan. The network helps show where Gang Wan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gang Wan, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 3 | |
| 13 | 2020 | 8 | |
| 14 | 2008 | 3 | |
| 15 | Rapid Allocation and Display of Massive Remote Sensing Image | 2006 | 2 |
| 16 | 2006 | 8 | |
| 17 | A Fusion Algorithm and Accuracy Estimate between Road and Terrain in Virtual Terrain Environment | 2005 | 1 |
| 18 | A Review of Regeneration Technology for Diesel Particulate Filters | 2005 | 2 |
| 19 | Battlefield Visualization and Digital Map | 2004 | 0 |
| 20 | An Algorithm of Dynamic Triangulation for the RSG Model of Terrain | 2002 | 0 |
About Gang Wan
Gang Wan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (10 papers), Planetary Science and Exploration (8 papers), Robotics and Sensor-Based Localization (8 papers), Remote Sensing and Land Use (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Astro and Planetary Science (6 papers), Electric and Hybrid Vehicle Technologies (5 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Media Technology (1.1k citations), Computer Vision and Pattern Recognition (1.3k citations) and Aerospace Engineering (543 citations). Gang Wan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ke Li, Gong Cheng, Liqiu Meng, Junwei Han, Xuchu Yu, Anzhu Yu, Bing Liu, Pengqiang Zhang, Ruirui Wang and Shuhui Bu.
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.