Chang-Jun Ahn

842 citations
156 papers · 571 · h-index 11

Impact in

Papers in

Chang-Jun Ahn

134 papers receiving 556 citations

Peers

Chang-Jun Ahn
Comparison fields: 5 of 41
  • Computer Networks and Communications 215
  • Electrical and Electronic Engineering 444
  • Signal Processing 50
  • Aerospace Engineering 92
  • Biomedical Engineering 118
Replace Heng Liu with:
Heng Liu China
Yukitoshi Sanada Japan
Ulf Gustavsson Sweden
M.D. McKinley United States
Ran-Hong Yan United States
Hao Wei China
Seddik Bri Morocco
Barend van Liempd Belgium
S. E. Barbin Brazil
Linus Maurer Germany
Chang-Jun Ahn relative to Heng Liu China Heng Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chang-Jun Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Jun Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chang-Jun Ahn, 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 Chang-Jun Ahn Line = papers co-authored together Chang-Jun Ahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201237
2 201935
3 201128
4 201823
5 202121
6 201214
7 200513
8 201211
9 201311
10 201211
11
Decision Direct and Linear Prediction based Fast Fading Compensation for TFI-OFDM
200810
12 201810
13 201110
14 201210
15
Prototype of 5.8 GHz wireless power transmission system for electric vehicle system (回路とシステム)
20119
16 20118
17 20138
18 20188
19 20107
20 20086

About Chang-Jun Ahn

Chang-Jun Ahn is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Biomedical Engineering and Signal Processing, having authored 156 papers that have together received 571 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (74 papers), Wireless Communication Networks Research (48 papers), Advanced MIMO Systems Optimization (44 papers), PAPR reduction in OFDM (39 papers), Cooperative Communication and Network Coding (26 papers), Error Correcting Code Techniques (17 papers), Antenna Design and Analysis (15 papers) and Advanced Wireless Communication Technologies (15 papers). The work is most often cited by research in Computer Networks and Communications (215 citations), Electrical and Electronic Engineering (444 citations), Signal Processing (50 citations), Aerospace Engineering (92 citations) and Biomedical Engineering (118 citations). Chang-Jun Ahn has collaborated with scholars based in Japan, South Korea and China. Frequent co-authors include Kazuki Maruta, Tatsuya Omori, Ken‐ya Hashimoto, Ken-ya Hashimoto, Dongsoo Har, Hyunju Kim, Masahiro Sakamoto, Satoshi Takahashi, Akihiko Teshigahara and Kazuhiko Kano. Their work appears in journals such as ICT Express, IEEE Access, Digital Signal Processing, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Communications.

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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