Byung‐Gyu Kim

5.5k total citations · 1 hit paper
198 papers, 3.9k citations indexed

About

Byung‐Gyu Kim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Byung‐Gyu Kim has authored 198 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Computer Vision and Pattern Recognition, 77 papers in Signal Processing and 26 papers in Artificial Intelligence. Recurrent topics in Byung‐Gyu Kim's work include Video Coding and Compression Technologies (63 papers), Advanced Vision and Imaging (59 papers) and Advanced Image Processing Techniques (30 papers). Byung‐Gyu Kim is often cited by papers focused on Video Coding and Compression Technologies (63 papers), Advanced Vision and Imaging (59 papers) and Advanced Image Processing Techniques (30 papers). Byung‐Gyu Kim collaborates with scholars based in South Korea, India and China. Byung‐Gyu Kim's co-authors include Kostas E. Psannis, Brij B. Gupta, Christos Stergiou, Partha Pratim Roy, Yutaka Ishibashi, Da-Mi Jeong, Ji‐Hae Kim, Debi Prosad Dogra, Vasileios A. Memos and Naveen Chilamkurti and has published in prestigious journals such as Journal of Biological Chemistry, Blood and IEEE Transactions on Industrial Electronics.

In The Last Decade

Byung‐Gyu Kim

183 papers receiving 3.7k citations

Hit Papers

Secure integration of IoT... 2016 2026 2019 2022 2016 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Secure integration of IoT and Cloud Computing
    2016 749 citations Christos Stergiou, Kostas E. Psannis et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byung‐Gyu Kim South Korea 30 1.6k 932 716 691 677 198 3.9k
Suhuai Luo Australia 40 1.1k 0.7× 705 0.8× 701 1.0× 1.8k 2.5× 672 1.0× 172 5.1k
Usman Tariq Saudi Arabia 41 1.4k 0.9× 1.1k 1.2× 605 0.8× 1.9k 2.7× 365 0.5× 247 5.4k
Sen Wang China 35 1.1k 0.7× 541 0.6× 601 0.8× 1.2k 1.8× 331 0.5× 236 4.7k
Gang Pan China 42 1.4k 0.9× 406 0.4× 445 0.6× 1.0k 1.5× 1.1k 1.6× 359 6.7k
Peter Corcoran Ireland 27 1.2k 0.7× 516 0.6× 672 0.9× 545 0.8× 701 1.0× 264 3.3k
Michael Weber Germany 31 912 0.6× 706 0.8× 510 0.7× 686 1.0× 303 0.4× 171 3.6k
David Camacho Spain 32 742 0.5× 827 0.9× 734 1.0× 1.7k 2.5× 577 0.9× 265 4.4k
Zhang Xiong China 34 2.1k 1.3× 563 0.6× 446 0.6× 983 1.4× 190 0.3× 228 4.8k
Imran Razzak Australia 40 2.0k 1.3× 833 0.9× 688 1.0× 2.4k 3.4× 451 0.7× 235 5.7k
Jing Liu China 29 1.8k 1.1× 477 0.5× 555 0.8× 1.1k 1.6× 269 0.4× 334 4.1k

Countries citing papers authored by Byung‐Gyu Kim

Since Specialization
Citations

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

Fields of papers citing papers by Byung‐Gyu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byung‐Gyu Kim. 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 Byung‐Gyu Kim. The network helps show where Byung‐Gyu Kim may publish in the future.

Co-authorship network of co-authors of Byung‐Gyu Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Byung‐Gyu Kim. A scholar is included among the top collaborators of Byung‐Gyu Kim 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 Byung‐Gyu Kim. Byung‐Gyu Kim 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.
Kim, Byung‐Gyu, et al.. (2024). Exploring Multimodal Multiscale Features for Sentiment Analysis Using Fuzzy-Deep Neural Network Learning. IEEE Transactions on Fuzzy Systems. 33(1). 28–42. 9 indexed citations
2.
Sharma, Amit, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, & Byung‐Gyu Kim. (2024). Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications. CAAI Transactions on Intelligence Technology. 3 indexed citations
3.
Wang, Xin, Adam Słowik, J. Dinesh Peter, et al.. (2024). Large Models for Cooperative Control of Connected and Autonomous Vehicles. IEEE Transactions on Vehicular Technology. 74(2). 1935–1948. 2 indexed citations
4.
Jia, Lijun, et al.. (2024). Leveraging Generative AI for Essential Predictive Maintenance in Industrial Consumer Electronics. IEEE Transactions on Consumer Electronics. 71(2). 4317–4327. 2 indexed citations
5.
Park, Hye-Jin, Jiwoo Kang, & Byung‐Gyu Kim. (2023). ssFPN: Scale Sequence (S2) Feature-Based Feature Pyramid Network for Object Detection. Sensors. 23(9). 4432–4432. 32 indexed citations
6.
Leng, Lu, et al.. (2023). Gesture Recognition and Hand Tracking for Anti-Counterfeit Palmvein Recognition. Applied Sciences. 13(21). 11795–11795. 3 indexed citations
7.
Lee, Youngwoon, et al.. (2021). Residual-Based Graph Convolutional Network for Emotion Recognition in Conversation for Smart Internet of Things. Big Data. 9(4). 279–288. 25 indexed citations
8.
Kim, Byung‐Gyu, et al.. (2021). Frontal Face Generation Algorithm from Multi-view Images Based on Generative Adversarial Network. Journal of Multimedia Information System. 8(2). 85–92. 8 indexed citations
9.
Park, Hye-Jin, Youngwoon Lee, & Byung‐Gyu Kim. (2021). Efficient Tire Wear and Defect Detection Algorithm Based on Deep Learning. Journal of Korea Multimedia Society. 24(8). 1026–1034. 2 indexed citations
10.
Kim, Byung‐Gyu, et al.. (2019). A Review on Motion Estimation and Compensation for Versatile Video Coding Technology (VVC). Journal of Korea Multimedia Society. 22(7). 770–779.
11.
Stergiou, Christos, Kostas E. Psannis, Andreas P. Plageras, Yutaka Ishibashi, & Byung‐Gyu Kim. (2018). Algorithms for Efficient Digital Media Transmission over IoT and Cloud Networking. Journal of Multimedia Information System. 5(1). 27–34. 67 indexed citations
12.
Saini, Rajkumar, et al.. (2017). Fight Detection in Hockey Videos using Deep Network. Journal of Multimedia Information System. 4(4). 225–232. 25 indexed citations
13.
Kim, Ji‐Hae, et al.. (2017). Performance Analysis of Future Video Coding (FVC) Standard Technology. Journal of Multimedia Information System. 4(2). 73–78. 1 indexed citations
14.
Kim, Ji‐Hae, et al.. (2017). Efficient Object Classification Scheme for Scanned Educational Book Image. Journal of Digital Contents Society. 18(7). 1323–1331. 1 indexed citations
15.
Plageras, Andreas P., Kostas E. Psannis, Brij B. Gupta, et al.. (2017). Solutions for inter-connectivity and security in a smart hospital building. 174–179. 9 indexed citations
16.
Saini, Rajkumar, et al.. (2017). Plant Disease Identification using Deep Neural Networks. Journal of Multimedia Information System. 4(4). 233–238. 20 indexed citations
17.
Kim, Taejung, et al.. (2014). Efficient Block Mode Determination Algorithm Using Adaptive Search Direction Information for Scalable Video Coding (SVC). Journal of Cryptology. 5(1). 14–19. 11 indexed citations
18.
Kim, Byung‐Gyu & Seong-Wook Hong. (2009). Input Shaper Design for Tower Crane in Consideration of Nonlinear Coupled Motions. Journal of the Korean Society for Precision Engineering. 26(9). 88–95. 1 indexed citations
19.
Kim, Tae‐Jeong, Byung‐Gyu Kim, Kyung-Hee Lee, & Jae‐Won Suh. (2008). Fast intra mode SKIP detection algorithm based on adaptive thresholding in H.264/AVC video coding. International Conference on Signal Processing. 300–305.
20.
Cho, Young‐Je, Byung‐Gyu Kim, & Sung-Sook Chun. (2004). Effect of Polyphenolic Compounds from Green Tea Leaves on Production of Hydroperoxide for Lipid Oxidation in Corn Oil-in-Water Emulsion. Korean Journal of Food Science and Technology. 36(1). 19–24. 1 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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