Jong‐Wha Chong

1.1k citations
116 papers · 821 · h-index 16

Impact in

Papers in

Jong‐Wha Chong

103 papers receiving 747 citations

Peers

Jong‐Wha Chong
Comparison fields: 5 of 70
  • Signal Processing 215
  • Computer Vision and Pattern Recognition 176
  • Computer Networks and Communications 171
  • Electrical and Electronic Engineering 392
  • Cognitive Neuroscience 115
Replace Gabriele Meoni with:
Gabriele Meoni Italy
Yang Song Singapore
Nguyen Linh Trung Vietnam
José Vieira Portugal
Akihito Noda Japan
Azarakhsh Jalalvand Belgium
Esam Abdel‐Raheem Canada
Chao Huang China
Mohammad Saquib United States
Sanjay B. Dhok India
Jong‐Wha Chong relative to Gabriele Meoni Italy Gabriele Meoni's profile →
Citations per field
00.5×10×20×30×42×
Gabriele Meoni · 1×
Citations per year

Countries citing papers authored by Jong‐Wha Chong

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Wha Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Wha Chong. 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 Jong‐Wha Chong. The network helps show where Jong‐Wha Chong may publish in the future.

Co-authors

The 25 scholars most cited alongside Jong‐Wha Chong, 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 Jong‐Wha Chong Line = papers co-authored together Jong‐Wha Chong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201862
2 200351
3 201943
4 200043
5 201042
6 201334
7 201433
8 201528
9 201527
10 201425
11 201220
12 202419
13 200917
14 200717
15 201816
16 201015
17 200714
18 201012
19 200511
20 200911

About Jong‐Wha Chong

Jong‐Wha Chong is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Media Technology, having authored 116 papers that have together received 821 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (24 papers), Advanced Wireless Communication Techniques (22 papers), Wireless Communication Networks Research (16 papers), Video Coding and Compression Technologies (13 papers), Advanced Data Compression Techniques (11 papers), 3D IC and TSV technologies (10 papers), Advanced Vision and Imaging (10 papers) and Speech and Audio Processing (10 papers). The work is most often cited by research in Signal Processing (215 citations), Computer Vision and Pattern Recognition (176 citations), Computer Networks and Communications (171 citations), Electrical and Electronic Engineering (392 citations) and Cognitive Neuroscience (115 citations). Jong‐Wha Chong has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Daegun Oh, Jun Wang, Junkyung Kim, Tae‐Joon Kim, Ki‐Young Jung, Jaehwan Kim, Yingchun Li, Kyoungin Cho, Yearn Seong Choe and Sang Eun Kim. Their work appears in journals such as ETRI Journal, IEEE Communications Letters, IEEE Transactions on Wireless Communications, IEEE Transactions on Consumer Electronics and Journal of the Society for Information Display.

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.

Explore authors with similar magnitude of impact