Cheston Tan

1.5k citations
48 papers · 809 · 1 hit paper · h-index 13

Impact in

Papers in

Cheston Tan

44 papers receiving 792 citations

Cheston Tan's Hit Papers

A Survey of Embodied AI: From Simulators to Research Tasks 2022 · 195 citations
1950+1+2Years since publication50100150

Peers

Cheston Tan
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 483
  • Human-Computer Interaction 77
  • Cognitive Neuroscience 175
  • Health Informatics 10
  • Sensory Systems 26
Replace Juan Romero with:
Juan Romero Spain
Xavier Boix United States
Jie Hao China
Vadim Tikhanoff Italy
Ying Cao China
Mårten Björkman Sweden
Yaoru Sun China
Kuan‐Wen Chen Taiwan
Kerstin Schill Germany
Venkatesh K. Subramanian India
Cheston Tan relative to Juan Romero Spain Juan Romero's profile →
Citations per field
00.5×1.5×2.4×
Juan Romero · 1×
Citations per year

Countries citing papers authored by Cheston Tan

Since Specialization
Citations

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

Fields of papers citing papers by Cheston Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey of Embodied AI: From Simulators to Research Tasks
Hit paper breakdown →
2022195
2 2010132
3 201784
4 201664
5 201353
6 201929
7 201524
8 201623
9 201419
10 201415
11 201515
12 201413
13
Deep Convolutional Networks are Hierarchical Kernel Machines
201512
14 201410
15 201410
16 20168
17
Visual Recognition using a Combination of Shape and Color Features
20137
18 20147
19 20137
20 20226

About Cheston Tan

Cheston Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Automotive Engineering and Human-Computer Interaction, having authored 48 papers that have together received 809 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (10 papers), Visual Attention and Saliency Detection (9 papers), Human Pose and Action Recognition (7 papers), Visual perception and processing mechanisms (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Reinforcement Learning in Robotics (5 papers), Spatial Cognition and Navigation (4 papers) and Face Recognition and Perception (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (483 citations), Human-Computer Interaction (77 citations), Cognitive Neuroscience (175 citations), Health Informatics (10 citations) and Sensory Systems (26 citations). Cheston Tan has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Hongyuan Zhu, Jiafei Duan, Samson Yu, Hui Li Tan, Tomaso Poggio, T. Serre, Joo‐Hwee Lim, Sharat Chikkerur, Vijay Chandrasekhar and Shijian Lu. Their work appears in journals such as IEEE Transactions on Cybernetics, Cognitive Science, IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Applied Perception and Vision Research.

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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