C.C. Ko

2.1k citations
131 papers · 1.5k indexed · h-index 17

Impact in

    • Video Coding and Compression Technologies
    • Speech and Audio Processing
    • Direction-of-Arrival Estimation Techniques
    • Experimental Learning in Engineering

Papers in

C.C. Ko

119 papers receiving 1.4k citations

Peers

C.C. Ko
Comparison fields: 5 of 83
  • Signal Processing 553
  • Media Technology 315
  • Computer Vision and Pattern Recognition 512
  • Architecture 35
  • Computer Networks and Communications 324
Replace Tokunbo Ogunfunmi with:
Tokunbo Ogunfunmi United States
D.M. Etter United States
Saeid Nooshabadi United States
Octavio Nieto-Taladriz Spain
Alexander M. Wyglinski United States
Allen Klinger United States
Qifan Pu United States
Emin Anarım Türkiye
Zhiping Jiang China
Jianhua Lu China
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Citations per field
00.5×6.4×
Tokunbo Ogunfunmi · 1×
Citations per year

Countries citing papers authored by C.C. Ko

Since Specialization
Citations

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

Fields of papers citing papers by C.C. Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005203
2 2001179
3 200083
4 200572
5 200267
6 200547
7 200344
8 200043
9 200540
10 200035
11 201031
12 200328
13 200427
14 200622
15 200419
16 200517
17 199016
18 198816
19 200116
20 199015

About C.C. Ko

C.C. Ko is a scholar working on Signal Processing, Electrical and Electronic Engineering, Computer Networks and Communications, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 131 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (37 papers), Direction-of-Arrival Estimation Techniques (34 papers), Wireless Communication Networks Research (30 papers), Speech and Audio Processing (27 papers), Advanced Wireless Communication Techniques (26 papers), Antenna Design and Optimization (14 papers), Advanced Data Compression Techniques (13 papers) and Advanced Wireless Network Optimization (12 papers). The work is most often cited by research in Signal Processing (553 citations), Media Technology (315 citations), Computer Vision and Pattern Recognition (512 citations), Architecture (35 citations) and Computer Networks and Communications (324 citations). C.C. Ko has collaborated with scholars based in Singapore, South Korea and United States. Frequent co-authors include Ben M. Chen, Yuan Zhuang, Susanto Rahardja, Kay Chen Tan, Jianping Chen, Shijian Lu, Wanjun Zhi, Bharadwaj Veeravalli, Xiao Lin and Dajun Wu. Their work appears in journals such as Signal Processing, IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Antennas and Propagation, Electronics Letters and IEEE Transactions on Signal Processing.

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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