Won Jang

484 citations
16 papers · 409 · h-index 8

Impact in

Papers in

Won Jang

15 papers receiving 383 citations

Peers

Won Jang
Comparison fields: 5 of 27
  • Human-Computer Interaction 178
  • Artificial Intelligence 137
  • Aerospace Engineering 37
  • Computer Vision and Pattern Recognition 27
  • Atomic and Molecular Physics, and Optics 23
Replace Hong Gul Han with:
Hong Gul Han China
J.E. Viallet France
Bingjie Xu China
Hideo Fukamachi Japan
Ninghang Hu Netherlands
Thomas Fischer Germany
Xuanwu Yin China
Bram Bolder Germany
Zachi Z. Baharav United States
Solomon Boulos United States
Won Jang relative to Hong Gul Han China Hong Gul Han's profile →
Citations per field
00.5×2×4×6×8×10×
Hong Gul Han · 1×
Citations per year

Countries citing papers authored by Won Jang

Since Specialization
Citations

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

Fields of papers citing papers by Won Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Won Jang, 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 Won Jang Line = papers co-authored together Won Jang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1996160
2 2008103
3 200736
4 200232
5 201523
6 199318
7 200514
8 20068
9 20067
10 20072
11 20061
12 20071
13 20071
14 20071
15 20151
16 20161

About Won Jang

Won Jang is a scholar working on Aerospace Engineering, Human-Computer Interaction, Signal Processing, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 16 papers that have together received 409 indexed citations. Recurring topics across this work include Antenna Design and Optimization (3 papers), Gyrotron and Vacuum Electronics Research (3 papers), Antenna Design and Analysis (3 papers), Hand Gesture Recognition Systems (2 papers), Microwave Engineering and Waveguides (2 papers), Direction-of-Arrival Estimation Techniques (2 papers), Wireless Signal Modulation Classification (2 papers) and Particle accelerators and beam dynamics (1 paper). The work is most often cited by research in Human-Computer Interaction (178 citations), Artificial Intelligence (137 citations), Aerospace Engineering (37 citations), Computer Vision and Pattern Recognition (27 citations) and Atomic and Molecular Physics, and Optics (23 citations). Won Jang has collaborated with scholars based in South Korea. Frequent co-authors include Zeungnam Bien, Jong Sung Kim, Dae Young Kim, Jun‐Ho Choi, Jong Cheol Park, Joonho So, Chan-Su Lee, Sung-Kwon Kim, Junyeon Kim and Changyul Cheon. Their work appears in journals such as Microwave and Optical Technology Letters, Journal of electromagnetic engineering and science, Journal of Infrared Millimeter and Terahertz Waves, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and International symposium on image and signal processing and analysis/ISPA ....

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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