Su Pang

13 papers receiving 601 citations

Su Pang's Hit Papers

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection 2020 · 406 citations
4060+2+4Years since publication100200300400

Peers

Su Pang
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 431
  • Instrumentation 55
  • Aerospace Engineering 289
  • Geology 64
  • Environmental Engineering 98
Replace Tianxin Huang with:
Tianxin Huang China
Francisco Miguel Moreno Spain
Kiho Kwak South Korea
Jaehyeon Kang South Korea
Igor Bogoslavskyi Germany
Xiyuan Liu Hong Kong
Zebang Yang China
Jan Quenzel Germany
Quang-Hieu Pham Singapore
Chongjian Yuan Hong Kong
Su Pang relative to Tianxin Huang China Tianxin Huang's profile →
Citations per field
00.5×2×3×3.9×
Tianxin Huang · 1×
Citations per year

Countries citing papers authored by Su Pang

Since Specialization
Citations

This map shows the geographic impact of Su Pang'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 Su Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Pang more than expected).

Fields of papers citing papers by Su Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Pang. 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 Su Pang. The network helps show where Su Pang may publish in the future.

Co-authors

The 9 scholars most cited alongside Su Pang, 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 Su Pang Line = papers co-authored together Su Pang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
Hit paper breakdown →
2020406
2 202286
3 201831
4 201328
5 202320
6 202112
7 202111
8 20244
9 20174
10 20183
11 20242
12 20252
13 20191
14 20190

About Su Pang

Su Pang is a scholar working on Aerospace Engineering, Environmental Engineering, Computer Vision and Pattern Recognition, Geology and Ocean Engineering, having authored 14 papers that have together received 610 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Geophysical Methods and Applications (3 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (3 papers), Anomaly Detection Techniques and Applications (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Electromagnetic Simulation and Numerical Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (431 citations), Instrumentation (55 citations), Aerospace Engineering (289 citations), Geology (64 citations) and Environmental Engineering (98 citations). Su Pang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Hayder Radha, Daniel Morris, Xue Yan Yang, Gangling Tang, Zhaoyang Bian, Xi Cai, Yongsheng Ou, Xuben Wang and Xiangpeng Wang. Their work appears in journals such as Remote Sensing, SAE technical papers on CD-ROM/SAE technical paper series, Scientific Reports, Journal of Field Robotics and Journal of Chromatographic Science.

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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