Kang-Hyun Jo

4.4k citations
353 papers · 2.7k indexed · h-index 26
Topics
Video Surveillance and Tracking Methods (153 papers)Advanced Neural Network Applications (57 papers)Advanced Image and Video Retrieval Techniques (47 papers)

In The Last Decade

Kang-Hyun Jo

321 papers receiving 2.5k citations

Peers

Kang-Hyun Jo
Comparison fields: 5 of 147
  • Computer Vision and Pattern Recognition 1.9k
  • Media Technology 475
  • Automotive Engineering 366
  • Artificial Intelligence 363
  • Aerospace Engineering 333
Replace José María Armingol with:
José María Armingol Spain
Jürgen Beyerer Germany
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Citations per field
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Citations per year

Countries citing papers authored by Kang-Hyun Jo

Since Specialization
Citations

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

Fields of papers citing papers by Kang-Hyun Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang-Hyun Jo. 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 Kang-Hyun Jo. The network helps show where Kang-Hyun Jo may publish in the future.

Co-authorship network of co-authors of Kang-Hyun Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Kang-Hyun Jo. A scholar is included among the top collaborators of Kang-Hyun Jo 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 Kang-Hyun Jo. Kang-Hyun Jo 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
#WorkIndexed citations
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Intelligent Computing Methodologies: 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014, Proceedings
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14 4
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Projection and least square fitting with perpendicular offsets based vehicle license plate tilt correction
6
16
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence: Fourth International Conference on Intelligent Computing
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Advanced Intelligent Computing Theories and Applications With Aspects of Contemporary Intelligent Computing Techniques: 4th International Conference on ... in Computer and Information Science)
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18
Evaluation of Four Methods for Antimicrobial Susceptibility Testing of Helicobacter pylori in Routine Practice.
4
19
TRAFFIC SIGN RECOGNITION BY DIVISION OF CHARACTERS AND SYMBOLS REGIONS
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Trends of Viral Respiratory Pathogens Detected in Pediatric Patients, 1996 Through 2001.
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About Kang-Hyun Jo

Kang-Hyun Jo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 353 papers that have together received 2.7k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (153 papers), Advanced Neural Network Applications (57 papers) and Advanced Image and Video Retrieval Techniques (47 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Media Technology (475 citations) and Safety, Risk, Reliability and Quality (319 citations). Kang-Hyun Jo has collaborated with scholars based in South Korea, China and Indonesia. Frequent co-authors include Alexander Filonenko, Van-Dung Hoang, Danilo Cáceres Hernández, Wahyono Wahyono, Laksono Kurnianggoro, Kaushik Deb, Muhamad Dwisnanto Putro, Duy-Linh Nguyen, De-Shuang Huang and My-Ha Le. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Computers in Human Behavior and IEEE Access.

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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