Kan Chen

69 papers receiving 721 citations

Kan Chen's Hit Papers

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction 2022 · 182 citations
1820+1+2Years since publication50100150

Peers

Kan Chen
Comparison fields: 5 of 100
  • Automotive Engineering 172
  • Control and Systems Engineering 237
  • Computer Graphics and Computer-Aided Design 28
  • Computer Vision and Pattern Recognition 160
  • Geology 38
Replace Yuchen Li with:
Yuchen Li China
Shiru Qu China
Yulin Ma China
Zsolt Szalay Hungary
Hang Zhao China
Delong Zhu Hong Kong
Qinghai Miao China
Biao Leng China
Wei Shangguan China
Kan Chen relative to Yuchen Li China Yuchen Li's profile →
Citations per field
00.5×11.5×
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Citations per year

Countries citing papers authored by Kan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kan Chen, 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 Kan Chen Line = papers co-authored together Kan Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Hit paper breakdown →
2022182
2 2015141
3 201250
4 201738
5 201920
6 201318
7 201517
8 200916
9 199014
10 202113
11 201912
12 202311
13 202311
14 202411
15 202410
16 198010
17 201310
18 20239
19
Urban dynamics : extensions and reflections
19728
20 19578

About Kan Chen

Kan Chen is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Building and Construction, Geology and Computer Graphics and Computer-Aided Design, having authored 81 papers that have together received 762 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (11 papers), Computer Graphics and Visualization Techniques (11 papers), Remote Sensing and LiDAR Applications (8 papers), 3D Modeling in Geospatial Applications (8 papers), Real-time simulation and control systems (6 papers), 3D Shape Modeling and Analysis (5 papers), Advanced Vision and Imaging (5 papers) and Monetary Policy and Economic Impact (4 papers). The work is most often cited by research in Automotive Engineering (172 citations), Control and Systems Engineering (237 citations), Computer Graphics and Computer-Aided Design (28 citations), Computer Vision and Pattern Recognition (160 citations) and Geology (38 citations). Kan Chen has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Peidong Zhu, Yan Zhang, Xiaoxue Liu, Henry Johan, Dragomir Anguelov, Khaled S. Refaat, Ahmed Hefny, Bertrand Douillard, Nigamaa Nayakanti and Benjamin Sapp. Their work appears in journals such as The Visual Computer, Technological Forecasting and Social Change, Mechanical Systems and Signal Processing, Electronics and SAE technical papers on CD-ROM/SAE technical paper series.

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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