Shengjun Tang
Impact in
- Geology top 1%
- 3D Surveying and Cultural Heritage
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
Papers in
- Geology 29
- 3D Surveying and Cultural Heritage 29
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- Remote Sensing and LiDAR Applications 23
- Co-authors
- Weixi Wang (22 shared papers)Xiaoming Li (10 shared papers)Bo Wu (7 shared papers)Linglin Zeng (2 shared papers)Ronghui Li (2 shared papers)Nengcheng Chen (2 shared papers)Dev Niyogi (2 shared papers)Deren Li (2 shared papers)
In The Last Decade
Shengjun Tang
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Geology 299
- Environmental Engineering 274
- Building and Construction 243
- Global and Planetary Change 254
- Industrial and Manufacturing Engineering 108
Countries citing papers authored by Shengjun Tang
This map shows the geographic impact of Shengjun 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 Shengjun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengjun Tang more than expected).
Fields of papers citing papers by Shengjun Tang
This network shows the impact of papers produced by Shengjun 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 Shengjun Tang. The network helps show where Shengjun Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengjun 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
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 167 | |
| 2 | 2020 | 93 | |
| 3 | 2022 | 79 | |
| 4 | 2022 | 67 | |
| 5 | 2021 | 66 | |
| 6 | 2020 | 42 | |
| 7 | 2004 | 37 | |
| 8 | 2022 | 34 | |
| 9 | 2016 | 28 | |
| 10 | 2016 | 28 | |
| 11 | 2017 | 27 | |
| 12 | 2016 | 26 | |
| 13 | 2015 | 25 | |
| 14 | 2023 | 24 | |
| 15 | 2024 | 24 | |
| 16 | 2023 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2024 | 21 | |
| 19 | 2022 | 18 | |
| 20 | 2019 | 18 |
About Shengjun Tang
Shengjun Tang is a scholar working on Geology, Environmental Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Building and Construction, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (29 papers), Remote Sensing and LiDAR Applications (23 papers), Robotics and Sensor-Based Localization (17 papers), Advanced Vision and Imaging (6 papers), Indoor and Outdoor Localization Technologies (6 papers), 3D Modeling in Geospatial Applications (6 papers), Optical measurement and interference techniques (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Geology (299 citations), Environmental Engineering (274 citations), Building and Construction (243 citations), Global and Planetary Change (254 citations) and Industrial and Manufacturing Engineering (108 citations). Shengjun Tang has collaborated with scholars based in China, Hong Kong and Belgium. Frequent co-authors include Weixi Wang, Xiaoming Li, Bo Wu, Linglin Zeng, Ronghui Li, Nengcheng Chen, Dev Niyogi, Deren Li, Zhihan Lv and Renzhong Guo. Their work appears in journals such as Sensors, ISPRS Journal of Photogrammetry and Remote Sensing, Remote Sensing, International Journal of Applied Earth Observation and Geoinformation and IEEE Access.
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.