Cheul Hwang

703 citations
11 papers · 529 · h-index 6

Impact in

Papers in

Journals
IEEE Transactions on Fuzzy Systems (2 papers)Pattern Recognition (1 paper)The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry) (1 paper)Journal of Korean institute of intelligent systems (1 paper)

In The Last Decade

Cheul Hwang

10 papers receiving 504 citations

Peers

Cheul Hwang
Comparison fields: 5 of 57
  • Statistics and Probability 111
  • Artificial Intelligence 382
  • Media Technology 79
  • Management Science and Operations Research 99
  • Computer Vision and Pattern Recognition 148
Replace Yingkang Hu with:
Yingkang Hu United States
Zhao Zhong China
Ken Nozaki Japan
Can Gao China
Eghbal G. Mansoori Iran
Marzieh Zarinbal Iran
Xuedong Tian China
Daniel Graves Canada
Hanuman Verma India
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Cheul Hwang relative to Yingkang Hu United States Yingkang Hu's profile →
Citations per field
00.5×4.0×
Yingkang Hu · 1×
Citations per year

Countries citing papers authored by Cheul Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Cheul Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Cheul Hwang, 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 Cheul Hwang Line = papers co-authored together Cheul Hwang links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown

About Cheul Hwang

Cheul Hwang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Statistics and Probability and Signal Processing, having authored 11 papers that have together received 529 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (6 papers), Image Retrieval and Classification Techniques (4 papers), Fuzzy Systems and Optimization (3 papers), Multi-Criteria Decision Making (3 papers), Advanced Clustering Algorithms Research (2 papers), Remote-Sensing Image Classification (2 papers), Neural Networks and Applications (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Statistics and Probability (111 citations), Artificial Intelligence (382 citations), Media Technology (79 citations), Management Science and Operations Research (99 citations) and Computer Vision and Pattern Recognition (148 citations). Cheul Hwang has collaborated with scholars based in South Korea, United States and Malaysia. Frequent co-authors include Frank Chung-Hoon Rhee, Hichem Frigui and Ji Sun Shin. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Pattern Recognition, The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry) and Journal of Korean institute of intelligent 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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