Bong-Kee Sin

630 citations
28 papers · 392 · h-index 9

Impact in

Papers in

    • Handwritten Text Recognition Techniques 8
    • Human Pose and Action Recognition 7
    • Image Retrieval and Classification Techniques 4
    • Natural Language Processing Techniques 4
    • Speech Recognition and Synthesis 4
    • Text and Document Classification Technologies 3

Bong-Kee Sin

24 papers receiving 357 citations

Peers

Bong-Kee Sin
Comparison fields: 5 of 68
  • Human-Computer Interaction 156
  • Computer Vision and Pattern Recognition 266
  • Media Technology 36
  • Signal Processing 31
  • Artificial Intelligence 90
Replace Ho‐Sub Yoon with:
Ho‐Sub Yoon South Korea
S. V. Aruna Kumar India
Nam Le Switzerland
Hosub Yoon South Korea
Stephan Liwicki United Kingdom
Junaidi Abdullah Malaysia
Nihan Kahraman Türkiye
Surendra Ranganath Singapore
T.S. Huang United States
Bong-Kee Sin relative to Ho‐Sub Yoon South Korea Ho‐Sub Yoon's profile →
Citations per field
00.5×
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 17 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010131
2 199547
3 200340
4 199732
5 200523
6 202222
7 200821
8 199719
9 199911
10 20017
11 19986
12 20086
13
Dynamic Bayesian Network based Two-Hand Gesture Recognition
20083
14
Recognizing Hand Digit Gestures Using Stochastic Models
20073
15 20233
16 20163
17 20193
18 20022
19 20162
20 20162

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 28 papers that have together received 392 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (8 papers), Gait Recognition and Analysis (7 papers), Hand Gesture Recognition Systems (7 papers), Human Pose and Action Recognition (7 papers), Natural Language Processing Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Speech Recognition and Synthesis (4 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Human-Computer Interaction (156 citations), Computer Vision and Pattern Recognition (266 citations), Media Technology (36 citations), Signal Processing (31 citations) and Artificial Intelligence (90 citations). Bong-Kee Sin has collaborated with scholars based in South Korea, Taiwan and Indonesia. 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, Ding‐Bing Lin, Nur Ahmadi and Sechang Oh. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Sciences and Signal Processing.

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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