Bong-Kee Sin

630 total citations
28 papers, 392 citations indexed

About

Bong-Kee Sin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Bong-Kee Sin has authored 28 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Bong-Kee Sin's work include Handwritten Text Recognition Techniques (8 papers), Human Pose and Action Recognition (7 papers) and Gait Recognition and Analysis (7 papers). Bong-Kee Sin is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Human Pose and Action Recognition (7 papers) and Gait Recognition and Analysis (7 papers). Bong-Kee Sin collaborates with scholars based in South Korea, Indonesia and Taiwan. Bong-Kee Sin's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Bong-Kee Sin

24 papers receiving 357 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bong-Kee Sin South Korea 9 266 156 90 73 51 28 392
Ho‐Sub Yoon South Korea 9 279 1.0× 202 1.3× 73 0.8× 65 0.9× 82 1.6× 37 419
Nam Le Switzerland 4 237 0.9× 182 1.2× 91 1.0× 110 1.5× 33 0.6× 6 360
S. V. Aruna Kumar India 10 220 0.8× 133 0.9× 73 0.8× 26 0.4× 42 0.8× 25 363
Hosub Yoon South Korea 11 179 0.7× 87 0.6× 71 0.8× 33 0.5× 50 1.0× 31 324
Nihan Kahraman Türkiye 10 196 0.7× 83 0.5× 76 0.8× 62 0.8× 45 0.9× 41 457
Stephan Liwicki United Kingdom 9 264 1.0× 112 0.7× 58 0.6× 44 0.6× 24 0.5× 18 361
Junaidi Abdullah Malaysia 11 195 0.7× 138 0.9× 70 0.8× 43 0.6× 36 0.7× 46 385
T.S. Huang United States 8 182 0.7× 122 0.8× 73 0.8× 36 0.5× 56 1.1× 18 338
Lionel Pigou Belgium 3 256 1.0× 226 1.4× 73 0.8× 133 1.8× 34 0.7× 3 379

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-authorship network of co-authors of Bong-Kee Sin

This figure shows the co-authorship network connecting the top 25 collaborators of Bong-Kee Sin. A scholar is included among the top collaborators of Bong-Kee Sin 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 Bong-Kee Sin. Bong-Kee Sin 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
1.
Setianingsih, Casi, et al.. (2023). SMPT: A Semi-Supervised Multi-Model Prediction Technique for Food Ingredient Named Entity Recognition (FINER) Dataset Construction. Informatics. 10(1). 10–10. 3 indexed citations
2.
Sin, Bong-Kee, et al.. (2022). Enhancing Food Ingredient Named-Entity Recognition with Recurrent Network-Based Ensemble (RNE) Model. Applied Sciences. 12(20). 10310–10310. 1 indexed citations
3.
Prihatmanto, Ary Setijadi, et al.. (2016). A Study on Efficient Market Hypothesis to Predict Exchange Rate Trends Using Sentiment Analysis of Twitter Data. Journal of Korea Multimedia Society. 19(7). 1107–1115. 3 indexed citations
4.
Hindersah, Hilwadi, et al.. (2016). Finger-Pointing Gesture Analysis for Slide Presentation. Journal of Korea Multimedia Society. 19(8). 1225–1235. 2 indexed citations
5.
Machbub, Carmadi, et al.. (2016). Design of Music Learning Assistant Based on Audio Music and Music Score Recognition. Journal of Korea Multimedia Society. 19(5). 826–836. 2 indexed citations
6.
Sin, Bong-Kee, et al.. (2015). Hidden Markov Model Based Approach to USD Dollar/IDR Rupiah Currency Exchange Rate Prediction using Twitter Sentiment Analysis. 한국정보과학회 학술발표논문집. 737–739. 1 indexed citations
7.
Suk, Heung‐Il, Bong-Kee Sin, & Seong‐Whan Lee. (2010). Hand gesture recognition based on dynamic Bayesian network framework. Pattern Recognition. 43(9). 3059–3072. 131 indexed citations
8.
Kim, Chan Young & Bong-Kee Sin. (2009). Human Gait Analysis Using Self Organizing Map. 1–4. 1 indexed citations
9.
Suk, Heung‐Il, Bong-Kee Sin, & Seong‐Whan Lee. (2009). Analyzing human interactions with a network of dynamic probabilistic models. 29. 1–6. 1 indexed citations
10.
Kim, Sungun, et al.. (2009). Priority-based minimum interference path multicast: routing algorithm in optical virtual private network. Photonic Network Communications. 18(3). 265–274. 1 indexed citations
11.
Suk, Heung‐Il & Bong-Kee Sin. (2008). Dynamic Bayesian Network based Two-Hand Gesture Recognition. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 35(4). 265–279. 3 indexed citations
12.
Suk, Heung‐Il, Bong-Kee Sin, & Seong‐Whan Lee. (2008). Recognizing hand gestures using dynamic Bayesian network. 11. 1–6. 21 indexed citations
13.
Sin, Bong-Kee. (2007). Recognizing Hand Digit Gestures Using Stochastic Models. Journal of Korea Multimedia Society. 11(6). 807–815. 3 indexed citations
14.
Park, Sang‐Cheol, Sung‐Hoon Lim, Bong-Kee Sin, & Seong‐Whan Lee. (2005). Tracking non-rigid objects using probabilistic Hausdorff distance matching. Pattern Recognition. 38(12). 2373–2384. 23 indexed citations
15.
Sin, Bong-Kee, et al.. (2003). Locating characters in scene images using frequency features. 3. 489–492. 40 indexed citations
16.
Sin, Bong-Kee, et al.. (2002). A statistical approach with HMMs for on-line cursive Hangul (Korean script) recognition. 3. 147–150. 2 indexed citations
17.
Sin, Bong-Kee, et al.. (2001). A 2-D HMM METHOD FOR OFFLINE HANDWRITTEN CHARACTER RECOGNITION. International Journal of Pattern Recognition and Artificial Intelligence. 15(1). 91–105. 7 indexed citations
18.
Sin, Bong-Kee, et al.. (1999). Network-based approach to online cursive script recognition. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 29(2). 321–328. 11 indexed citations
19.
Sin, Bong-Kee, et al.. (1997). Recognition of on-line cursive Korean characters combining statistical and structural methods. Pattern Recognition. 30(8). 1255–1263. 19 indexed citations
20.
Sin, Bong-Kee & Jin Hee Kim. (1995). Nonstationary hidden Markov model. Signal Processing. 46(1). 31–46. 47 indexed citations

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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