Chiho Choi

26 papers receiving 506 citations

Peers

Chiho Choi
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 363
  • Human-Computer Interaction 184
  • Control and Systems Engineering 164
  • Artificial Intelligence 149
  • Automotive Engineering 138
Replace Diogo Luvizon with:
Diogo Luvizon Germany
Akshay Rangesh United States
Garratt Gallagher United States
M. Pellkofer Germany
Anbumani Subramanian United States
Alon Lerner Israel
Shilpa Gulati United States
Carmadi Machbub Indonesia
Sahil Narang United States
Rongrong Ni China
Chiho Choi relative to Diogo Luvizon Germany Diogo Luvizon's profile →
Citations per field
00.5×3.0×
Diogo Luvizon · 1×
Citations per year

Countries citing papers authored by Chiho Choi

Since Specialization
Citations

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

Fields of papers citing papers by Chiho Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiho Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Chiho Choi. A scholar is included among the top collaborators of Chiho Choi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chiho Choi. Chiho Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 20
2 12
3 44
4 22
5 1
6 12
7 20
8 7
9 5
10 13
11 23
12 30
13
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
18
14
EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs
10
15
DROGON: A Causal Reasoning Framework for Future Trajectory Forecast.
15
16 7
17
Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution
14
18 109
19 35
20 1

About Chiho Choi

Chiho Choi is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 26 papers that have together received 522 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (12 papers), Autonomous Vehicle Technology and Safety (10 papers) and Video Surveillance and Tracking Methods (9 papers). The work is most often cited by research in Human-Computer Interaction (184 citations), Computer Vision and Pattern Recognition (363 citations) and Automotive Engineering (138 citations). Chiho Choi has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Karthik Ramani, Ayan Sinha, Masayoshi Tomizuka, Srikanth Malla, Jiachen Li, Hengbo Ma, Joon Hee Choi, Jiachen Li, Sang Ho Yoon and Behzad Dariush. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Control Systems Technology and IEEE Robotics and Automation Letters.

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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