Shengjun Tang

64 papers receiving 1.1k citations

Peers

Shengjun Tang
Comparison fields: 5 of 104
  • Geology 295
  • Environmental Engineering 268
  • Building and Construction 232
  • Global and Planetary Change 243
  • Industrial and Manufacturing Engineering 106
Replace Ming‐Der Yang with:
Ming‐Der Yang Taiwan
Juho‐Pekka Virtanen Finland
Norbert H. Maerz United States
Vladimir Badenko Russia
Xin Xu China
Farhad Samadzadegan Iran
Piero Boccardo Italy
Hangbin Wu China
Costas Armenakis Canada
Jihn‐Sung Lai Taiwan
Shengjun Tang relative to Ming‐Der Yang Taiwan Ming‐Der Yang's profile →
Citations per field
00.5×2.8×
Ming‐Der Yang · 1×
Citations per year

Countries citing papers authored by Shengjun Tang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Shengjun Tang Line = papers co-authored together Shengjun Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019159
2 202089
3 202277
4 202162
5 202261
6 202039
7 200436
8 202233
9 201628
10 201628
11 201727
12 201525
13 201624
14 202422
15 202320
16 202320
17 202120
18 202218
19 201918
20 201917

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 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (29 papers), Remote Sensing and LiDAR Applications (24 papers), Robotics and Sensor-Based Localization (17 papers), 3D Modeling in Geospatial Applications (7 papers), Advanced Vision and Imaging (6 papers), Indoor and Outdoor Localization Technologies (6 papers), Video Surveillance and Tracking Methods (4 papers) and Optical measurement and interference techniques (4 papers). The work is most often cited by research in Geology (295 citations), Environmental Engineering (268 citations), Building and Construction (232 citations), Global and Planetary Change (243 citations) and Industrial and Manufacturing Engineering (106 citations). Shengjun Tang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Weixi Wang, Bo Wu, Xiaoming Li, Deren Li, Ronghui Li, Linglin Zeng, Dev Niyogi, Nengcheng Chen, Zhihan Lv and Renzhong Guo. Their work appears in journals such as Sensors, ISPRS Journal of Photogrammetry and Remote Sensing, Remote Sensing, IEEE Access and International Journal of Applied Earth Observation and Geoinformation.

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.

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