Kan Chen

71 papers receiving 766 citations

Kan Chen's Hit Papers

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction 2022 · 199 citations
1990+1+2Years since publication50100150

Peers

Kan Chen
Comparison fields: 5 of 105
  • Automotive Engineering 187
  • Control and Systems Engineering 253
  • Computer Vision and Pattern Recognition 180
  • Computer Graphics and Computer-Aided Design 30
  • Geology 40
Replace Yuchen Li with:
Yuchen Li China
Parimal Kopardekar United States
Yuehu Liu China
Shiru Qu China
Zsolt Szalay Hungary
Biao Leng China
Hang Zhao China
Delong Zhu Hong Kong
Qinghai Miao China
Kan Chen relative to Yuchen Li China Yuchen Li's profile →
Citations per field
00.5×10×12.8×
Yuchen Li · 1×
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 82 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 →
2022199
2 2015149
3 201253
4 201740
5 201923
6 201320
7 201518
8 202116
9 200916
10 199014
11 202413
12 201912
13 202311
14 202311
15 201311
16 202410
17 198010
18
Urban dynamics : extensions and reflections
19729
19 20239
20 19579

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 82 papers that have together received 817 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 (187 citations), Control and Systems Engineering (253 citations), Computer Vision and Pattern Recognition (180 citations), Computer Graphics and Computer-Aided Design (30 citations) and Geology (40 citations). Kan Chen has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Xiaoxue Liu, Yan Zhang, Peidong Zhu, Dragomir Anguelov, Henry Johan, Ahmed Hefny, Khaled S. Refaat, Nigamaa Nayakanti, Bertrand Douillard and Balakrishnan Varadarajan. Their work appears in journals such as Technological Forecasting and Social Change, The Visual Computer, Electronics, Mechanical Systems and Signal Processing and IEEE Transactions on Automatic Control.

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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