Teng‐Yok Lee

40 papers receiving 852 citations

Peers

Teng‐Yok Lee
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 487
  • Computer Graphics and Computer-Aided Design 299
  • Computer Networks and Communications 139
  • Signal Processing 137
  • Artificial Intelligence 130
Replace Andreas Fabri with:
Andreas Fabri France
João L. D. Comba Brazil
Ching-Kuang Shene United States
Stefan Langerman Belgium
Sylvain Pion France
Alan Watt United Kingdom
Jared Hoberock United States
David McAllister United States
Morgan McGuire United States
John Iacono United States
Teng‐Yok Lee relative to Andreas Fabri France Andreas Fabri's profile →
Citations per field
00.5×5.4×
Andreas Fabri · 1×
Citations per year

Countries citing papers authored by Teng‐Yok Lee

Since Specialization
Citations

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

Fields of papers citing papers by Teng‐Yok Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teng‐Yok Lee. 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 Teng‐Yok Lee. The network helps show where Teng‐Yok Lee may publish in the future.

Co-authorship network of co-authors of Teng‐Yok Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Teng‐Yok Lee. A scholar is included among the top collaborators of Teng‐Yok Lee 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 Teng‐Yok Lee. Teng‐Yok Lee 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 1
2 2
3
Analysis of the contribution and temporal dependency of LSTM layers for reinforcement learning tasks.
2
4
Recurrent Multi-frame Single Shot Detector for Video Object Detection.
10
5
Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description
10
6 24
7 127
8 18
9 35
10 29
11 0
12 13
13 19
14 47
15 47
16 113
17 5
18 54
19 33
20 7

About Teng‐Yok Lee

Teng‐Yok Lee is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 43 papers that have together received 873 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (15 papers), Data Visualization and Analytics (11 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (299 citations), Computer Vision and Pattern Recognition (487 citations) and Signal Processing (137 citations). Teng‐Yok Lee has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Han‐Wei Shen, Chen Feng, Mingyu Liu, Tom Peterka, Robert Ross, Roger Crawfis, Tom Peterka, Jian Huang, Pak Chung Wong and Xin Tong. Their work appears in journals such as Physiology & Behavior, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

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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