Wonil Chang

475 citations
21 papers · 313 · h-index 9

Impact in

Papers in

Wonil Chang

20 papers receiving 277 citations

Peers

Wonil Chang
Comparison fields: 5 of 45
  • Hardware and Architecture 40
  • Developmental Biology 8
  • Discrete Mathematics and Combinatorics 11
  • Artificial Intelligence 101
  • Signal Processing 29
Replace Manabu Hagiwara with:
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Jian Guo Singapore
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Eric Blossom United States
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Gunjan Verma United States
Aaron Stillmaker United States
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Wonil Chang relative to Manabu Hagiwara Japan Manabu Hagiwara's profile →
Citations per field
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Manabu Hagiwara · 1×
Citations per year

Countries citing papers authored by Wonil Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wonil Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Wonil Chang, 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 Wonil Chang Line = papers co-authored together Wonil Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994103
2 200553
3 200737
4 200520
5 200316
6 200913
7 198812
8 201311
9 20199
10 20127
11 20065
12 20194
13 20084
14 20134
15 20143
16 20103
17 20062
18 20232
19 20112
20 20062

About Wonil Chang

Wonil Chang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Aerospace Engineering, having authored 21 papers that have together received 313 indexed citations. Recurring topics across this work include Microwave Engineering and Waveguides (8 papers), Radio Frequency Integrated Circuit Design (7 papers), 3D IC and TSV technologies (4 papers), Speech and Audio Processing (4 papers), Music and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers), Millimeter-Wave Propagation and Modeling (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (40 citations), Developmental Biology (8 citations), Discrete Mathematics and Combinatorics (11 citations), Artificial Intelligence (101 citations) and Signal Processing (29 citations). Wonil Chang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Eugene L. Lawler, Young Chul Lee, Chul Soon Park, Dong Yun Jung, Dezhe Z. Jin, N. Nandhakumar, Soo-Young Lee, Wenyi Zhao, Hwaran Lee and Nadeem Iqbal. Their work appears in journals such as IEEE Signal Processing Letters, Microwave and Optical Technology Letters, Algorithmica, Electronics Letters and IEEE Transactions on Microwave Theory and Techniques.

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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