J.H. Kim

869 total citations
8 papers, 612 citations indexed

About

J.H. Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, J.H. Kim has authored 8 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in J.H. Kim's work include Handwritten Text Recognition Techniques (6 papers), Hand Gesture Recognition Systems (3 papers) and Speech Recognition and Synthesis (3 papers). J.H. Kim is often cited by papers focused on Handwritten Text Recognition Techniques (6 papers), Hand Gesture Recognition Systems (3 papers) and Speech Recognition and Synthesis (3 papers). J.H. Kim collaborates with scholars based in South Korea, United Kingdom and United States. J.H. Kim's co-authors include Hyeon‐Kyu Lee, Jingyu He, A.C. Downton, Bong-Kee Sin, Stephen So, Jinhwan Kim and Hyunkyu Lee and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Data Archiving and Networked Services (DANS).

In The Last Decade

J.H. Kim

8 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.H. Kim South Korea	5	440	394	122	113	79	8	612
Surendra Ranganath Singapore	13	349 0.8×	251 0.6×	87 0.7×	58 0.5×	77 1.0×	26	571
Ho‐Sub Yoon South Korea	9	279 0.6×	202 0.5×	65 0.5×	82 0.7×	73 0.9×	37	419
Giulio Marin Italy	7	349 0.8×	436 1.1×	140 1.1×	144 1.3×	28 0.4×	11	645
Fabio Dominio Italy	8	385 0.9×	511 1.3×	151 1.2×	161 1.4×	26 0.3×	9	696
E. Kiran Kumar India	14	303 0.7×	309 0.8×	192 1.6×	52 0.5×	65 0.8×	30	511
Yen-Lun Chen China	13	289 0.7×	177 0.4×	75 0.6×	86 0.8×	175 2.2×	37	478
Bong-Kee Sin South Korea	9	266 0.6×	156 0.4×	73 0.6×	51 0.5×	90 1.1×	28	392
Lionel Pigou Belgium	3	256 0.6×	226 0.6×	133 1.1×	34 0.3×	73 0.9×	3	379
Chuck Blanchard	5	227 0.5×	412 1.0×	63 0.5×	116 1.0×	31 0.4×	6	574

Countries citing papers authored by J.H. Kim

Since Specialization

Citations

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

Fields of papers citing papers by J.H. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.H. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of J.H. Kim. A scholar is included among the top collaborators of J.H. 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 J.H. Kim. J.H. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

He, Jingyu, et al.. (2005). A comparison of binarization methods for historical archive documents. 538–542 Vol. 1. 82 indexed citations

2.

So, Stephen, Jinhwan Kim, & J.H. Kim. (2004). VERIFICATION OF GRAPHEMES USING NEURAL NETWORKS IN AN HMMBASED ONLINE KOREAN HANDWRITING RECOGNITION SYSTEM. Data Archiving and Networked Services (DANS). 2 indexed citations

3.

Kim, J.H., et al.. (2002). Bayesian network modeling of strokes and their relationships for on-line handwriting recognition. 19. 86–90. 10 indexed citations

4.

Kim, J.H., et al.. (2002). A probabilistic framework for combining multiple classifiers at abstract level. 2. 870–874. 11 indexed citations

5.

Lee, Hyunkyu, et al.. (2002). On-line cursive script recognition using an island-driven search technique. 2. 886–889. 2 indexed citations

6.

Lee, Hyeon‐Kyu & J.H. Kim. (1999). An HMM-based threshold model approach for gesture recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 21(10). 961–973. 472 indexed citations

7.

Sin, Bong-Kee & J.H. Kim. (1997). Ligature modeling for online cursive script recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 19(6). 623–633. 32 indexed citations

8.

Kim, J.H., et al.. (1994). A unified network-based approach for recognition of cursive handwritings in mixed languages: a case study on Hangul and Roman mixture. 40695–40698. 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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