Gyeonghwan Kim

890 total citations
32 papers, 626 citations indexed

About

Gyeonghwan Kim is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Gyeonghwan Kim has authored 32 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 16 papers in Media Technology and 7 papers in Artificial Intelligence. Recurrent topics in Gyeonghwan Kim's work include Handwritten Text Recognition Techniques (15 papers), Vehicle License Plate Recognition (13 papers) and Advanced Vision and Imaging (8 papers). Gyeonghwan Kim is often cited by papers focused on Handwritten Text Recognition Techniques (15 papers), Vehicle License Plate Recognition (13 papers) and Advanced Vision and Imaging (8 papers). Gyeonghwan Kim collaborates with scholars based in South Korea and United States. Gyeonghwan Kim's co-authors include Venu Govindaraju, Sargur N. Srihari, Sung‐Hoon Kim, Sungchan Oh, Daekeun You, Taek‐Soo Kim, Ifeoma Nwogu, Yun Seok Nam, Yeonjoo Choi and Miyoung Shin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Gyeonghwan Kim

30 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gyeonghwan Kim South Korea 12 553 246 213 41 30 32 626
Chirag Patel India 6 243 0.4× 205 0.8× 85 0.4× 10 0.2× 16 0.5× 15 360
Mahmoud Mejdoub Tunisia 11 306 0.6× 38 0.2× 71 0.3× 16 0.4× 20 0.7× 32 381
Hsiao-Rong Tyan Taiwan 12 315 0.6× 71 0.3× 125 0.6× 10 0.2× 98 3.3× 27 441
Junbiao Pang China 12 247 0.4× 46 0.2× 138 0.6× 8 0.2× 17 0.6× 40 406
Songxuan Lai China 15 427 0.8× 141 0.6× 166 0.8× 39 1.0× 36 1.2× 21 489
Mark Paulik United States 9 197 0.4× 71 0.3× 65 0.3× 7 0.2× 15 0.5× 48 322
Zhiqian Wang United States 8 238 0.4× 25 0.1× 69 0.3× 31 0.8× 20 0.7× 20 316
Chen-Kuo Chiang Taiwan 11 255 0.5× 32 0.1× 74 0.3× 8 0.2× 77 2.6× 46 332
Yanbing Xue China 12 320 0.6× 27 0.1× 112 0.5× 55 1.3× 14 0.5× 42 405
Lu Pang China 5 530 1.0× 140 0.6× 96 0.5× 3 0.1× 13 0.4× 11 593

Countries citing papers authored by Gyeonghwan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gyeonghwan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gyeonghwan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Gyeonghwan Kim. A scholar is included among the top collaborators of Gyeonghwan 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 Gyeonghwan Kim. Gyeonghwan 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, Gyeonghwan, et al.. (2024). Cross-attention based dual-similarity network for few-shot learning. Pattern Recognition Letters. 186. 1–6. 5 indexed citations
2.
Kim, Gyeonghwan, et al.. (2023). Distilling Distribution Knowledge in Normalizing Flow. IEICE Transactions on Information and Systems. E106.D(8). 1287–1291. 1 indexed citations
3.
Kim, Gyeonghwan, et al.. (2020). Single Image Super-Resolution Using Fire Modules With Asymmetric Configuration. IEEE Signal Processing Letters. 27. 516–519. 10 indexed citations
4.
Kim, Gyeonghwan, et al.. (2018). Hierarchical Scheme of Vehicle Detection and Tracking in Nighttime Urban Environment. International Journal of Automotive Technology. 19(2). 369–377. 6 indexed citations
5.
Kim, Gyeonghwan, et al.. (2013). B-snake Based Lane Detection with Feature Merging and Extrinsic Camera Parameter Estimation. Journal of the Institute of Electronics and Information Engineers. 50(1). 215–224. 1 indexed citations
6.
Choi, Yeonjoo & Gyeonghwan Kim. (2010). Graph-based fingerprint classification using orientation field in core area. IEICE Electronics Express. 7(17). 1303–1309. 1 indexed citations
7.
8.
Oh, Sungchan & Gyeonghwan Kim. (2008). FPGA-based fast image warping with data-parallelization schemes. IEEE Transactions on Consumer Electronics. 54(4). 2053–2059. 14 indexed citations
9.
Kim, Gyeonghwan, et al.. (2005). Fabrication of Nano-Sized Powders from Waste Solution by Spray Pyrolysis Process. MATERIALS TRANSACTIONS. 46(7). 1695–1700. 11 indexed citations
10.
Nwogu, Ifeoma & Gyeonghwan Kim. (2005). Word separation of unconstrained handwritten text lines in PCR forms. 715–719 Vol. 2. 1 indexed citations
11.
Kim, Sung‐Hoon, et al.. (2003). A robust license-plate extraction method under complex image conditions. 3. 216–219. 116 indexed citations
12.
Kim, Sung‐Hoon, et al.. (2002). A System for Locating License-plate Area from Images Taken under Complex Conditions.. Machine Vision and Applications. 106–109. 2 indexed citations
13.
Kim, Gyeonghwan & Venu Govindaraju. (2002). Handwritten word recognition for real-time applications. 1. 24–27. 10 indexed citations
14.
Kim, Gyeonghwan, et al.. (2002). New paradigm for segmentation and recognition of handwritten numeral string. 2660. 205–209. 1 indexed citations
15.
Kim, Gyeonghwan, Venu Govindaraju, & Sargur N. Srihari. (1999). An architecture for handwritten text recognition systems. International Journal on Document Analysis and Recognition (IJDAR). 2(1). 37–44. 84 indexed citations
16.
Kim, Gyeonghwan & Venu Govindaraju. (1997). A lexicon driven approach to handwritten word recognition for real-time applications. IEEE Transactions on Pattern Analysis and Machine Intelligence. 19(4). 366–379. 194 indexed citations
17.
Kim, Gyeonghwan & Venu Govindaraju. (1997). Bankcheck Recognition using Cross Validation Between Legal and Courtesy Amounts. International Journal of Pattern Recognition and Artificial Intelligence. 11(4). 657–674. 22 indexed citations
18.
Kim, Gyeonghwan & Venu Govindaraju. (1996). <title>Efficient chain-code-based image manipulation for handwritten word recognition</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2660. 262–272. 5 indexed citations
19.
Kim, Gyeonghwan, Venu Govindaraju, & Sargur N. Srihari. (1996). A segmentation and recognition strategy for handwritten phrases. 510–514 vol.4. 11 indexed citations
20.
Srihari, Sargur N. & Gyeonghwan Kim. (1996). Recognition of offline handwritten words and its extension to phrase recognition. 9 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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