Bong-Kee Sin

637 citations
37 papers · 486 · h-index 10

Impact in

Papers in

Bong-Kee Sin

32 papers receiving 450 citations

Peers

Bong-Kee Sin
Comparison fields: 5 of 73
  • Human-Computer Interaction 204
  • Computer Vision and Pattern Recognition 332
  • Media Technology 42
  • Signal Processing 40
  • Artificial Intelligence 108
Replace Ho‐Sub Yoon with:
Ho‐Sub Yoon South Korea
S. V. Aruna Kumar India
Nam Le Switzerland
Yen-Lun Chen China
Subarna Tripathi United States
Hosub Yoon South Korea
J.H. Kim South Korea
Junaidi Abdullah Malaysia
Nihan Kahraman Türkiye
Bong-Kee Sin relative to Ho‐Sub Yoon South Korea Ho‐Sub Yoon's profile →
Citations per field
00.5×2×4×6×8×9×
Ho‐Sub Yoon · 1×
Citations per year

Countries citing papers authored by Bong-Kee Sin

Since Specialization
Citations

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

Fields of papers citing papers by Bong-Kee Sin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bong-Kee Sin. 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 Bong-Kee Sin. The network helps show where Bong-Kee Sin may publish in the future.

Co-authors

The 19 scholars most cited alongside Bong-Kee Sin, 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 Bong-Kee Sin Line = papers co-authored together Bong-Kee Sin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010156
2 199552
3 200346
4 199736
5 200529
6 200825
7 202224
8 199721
9 201414
10 199912
11 20018
12 19988
13 20067
14 20086
15
Dynamic Bayesian Network based Two-Hand Gesture Recognition
20085
16 20034
17
Recognizing Hand Digit Gestures Using Stochastic Models
20073
18 20233
19 20163
20 20193

About Bong-Kee Sin

Bong-Kee Sin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Human-Computer Interaction and Signal Processing, having authored 37 papers that have together received 486 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (11 papers), Human Pose and Action Recognition (8 papers), Hand Gesture Recognition Systems (8 papers), Gait Recognition and Analysis (8 papers), Image Retrieval and Classification Techniques (5 papers), Natural Language Processing Techniques (4 papers), Speech Recognition and Synthesis (4 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Human-Computer Interaction (204 citations), Computer Vision and Pattern Recognition (332 citations), Media Technology (42 citations), Signal Processing (40 citations) and Artificial Intelligence (108 citations). Bong-Kee Sin has collaborated with scholars based in South Korea, Indonesia and Taiwan. Frequent co-authors include Seong–Whan Lee, Heung‐Il Suk, Jin Hee Kim, J.H. Kim, Seon‐Kyu Kim, Sang‐Cheol Park, Sung‐Hoon Lim, Nur Ahmadi, Ding‐Bing Lin and Jongsub Moon. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, Photonic Network Communications, IEEE Transactions on Biomedical Circuits and Systems and Informatics.

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.

Explore authors with similar magnitude of impact