Hang Joon Kim

1.6k total citations
38 papers, 1.1k citations indexed

About

Hang Joon Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Hang Joon Kim has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Media Technology. Recurrent topics in Hang Joon Kim's work include Handwritten Text Recognition Techniques (12 papers), Image Retrieval and Classification Techniques (11 papers) and Medical Image Segmentation Techniques (6 papers). Hang Joon Kim is often cited by papers focused on Handwritten Text Recognition Techniques (12 papers), Image Retrieval and Classification Techniques (11 papers) and Medical Image Segmentation Techniques (6 papers). Hang Joon Kim collaborates with scholars based in South Korea and United States. Hang Joon Kim's co-authors include Keechul Jung, Kwang In Kim, Eun Ryung Lee, Dae Wook Kim, Sang Kyoon Kim, Se Hyun Park, Eun Yi Kim, Jin Wook Kim, Chang Woo Lee and Jong Kook Lee and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Pattern Recognition Letters.

In The Last Decade

Hang Joon Kim

36 papers receiving 971 citations

Peers

Hang Joon Kim
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 815
  • Media Technology 345
  • Artificial Intelligence 162
  • Signal Processing 119
  • Electrical and Electronic Engineering 75
Replace Chengjun Liu with:
Chengjun Liu United States
Kwang In Kim South Korea
Shinichiro Omachi Japan
Steve Maybank United Kingdom
Supavadee Aramvith Thailand
Chunxiao Fan China
Guocan Feng China
Bo Peng China
Feng Su China
Chengjun Liu United States View profile →
Citations per field, relative to Hang Joon Kim
Hang Joon Kim · 1×
Citations per year, relative to Hang Joon Kim
Hang Joon Kim · 1×

Countries citing papers authored by Hang Joon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hang Joon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Joon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Joon Kim. A scholar is included among the top collaborators of Hang Joon 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 Hang Joon Kim. Hang Joon 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
# Work Indexed citations
1 30
2 1
3
Hidden Markov Model for Gesture Recognition
10
4
Bayesian network based human pose estimation
0
5 2
6 4
7 15
8
A Spatio-temporal error concealment using genetic algorithm with isophote constraints
1
9 1
10 2
11 2
12 18
13
Neural network-based OCR for video indexing
1
14
VEGA VISION: a vision system for recognizing license plates
3
15 18
16 19
17 25
18 13
19 27
20
KOREAN CHARACTER TYPE CLASSIFICATION AND GRAPHEME RECOGNITION WITH A NEURAL NETWORK SYSTEM
3

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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