Jongho Nang

660 citations
37 papers · 461 · h-index 8

Impact in

Papers in

Jongho Nang

31 papers receiving 435 citations

Peers

Jongho Nang
Comparison fields: 5 of 76
  • Artificial Intelligence 244
  • Computational Theory and Mathematics 94
  • Industrial and Manufacturing Engineering 48
  • Computer Vision and Pattern Recognition 93
  • Signal Processing 42
Replace Aleksander Byrski with:
Aleksander Byrski Poland
Marin Golub Croatia
Pekka Kilpeläinen Finland
Guillermo Leguizamón Argentina
Hans Georg Schaathun Norway
A. Şima Uyar Türkiye
M. M. Raghuwanshi India
Pascal Lafourcade France
Neng Hou China
Emad Nabil Egypt
Jongho Nang relative to Aleksander Byrski Poland Aleksander Byrski's profile →
Citations per field
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Aleksander Byrski · 1×
Citations per year

Countries citing papers authored by Jongho Nang

Since Specialization
Citations

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

Fields of papers citing papers by Jongho Nang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Jongho Nang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jongho Nang Line = papers co-authored together Jongho Nang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey on the Parallel Genetic Algorithms
1994314
2 201118
3 201016
4 201811
5 201111
6 20029
7 20007
8 20177
9 20156
10 20056
11 20056
12 20076
13 20234
14 20194
15 19973
16 20143
17 20243
18 20023
19 20153
20
An efficient buffer management scheme for multimedia file system
20002

About Jongho Nang

Jongho Nang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Sociology and Political Science, having authored 37 papers that have together received 461 indexed citations. Recurring topics across this work include Video Analysis and Summarization (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Multimedia Communication and Technology (6 papers), Image Retrieval and Classification Techniques (6 papers), Data Management and Algorithms (5 papers), Advanced Vision and Imaging (5 papers), Video Coding and Compression Technologies (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (244 citations), Computational Theory and Mathematics (94 citations), Industrial and Manufacturing Engineering (48 citations), Computer Vision and Pattern Recognition (93 citations) and Signal Processing (42 citations). Jongho Nang has collaborated with scholars based in South Korea. Frequent co-authors include Kazuhiro Matsuo, Jihoon Yang, Ju-Wook Jang, Sang‐Chul Kim, Jiaxuan Yang, Hojung Cha, Sooyong Park, Saejoon Kim, Jin‐Young Choi and Unsang Park. Their work appears in journals such as Applied Sciences, Wireless Networks, Electronics, Journal of information science and engineering and IEICE Transactions on Information and Systems.

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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