K. Yao

1.4k citations
57 papers · 946 · h-index 13

Impact in

Papers in

K. Yao

50 papers receiving 885 citations

Peers

K. Yao
Comparison fields: 5 of 78
  • Signal Processing 189
  • Computer Networks and Communications 339
  • Statistical and Nonlinear Physics 129
  • Computer Vision and Pattern Recognition 173
  • Computational Theory and Mathematics 106
Replace J.S. Meditch with:
J.S. Meditch United States
Edward W. Kamen United States
D.G. Lainiotis United States
Jonathan A. Kelner United States
L. Franks United States
Tohru Nitta Japan
Roy L. Streit United States
Frederick J. Beutler United States
A.O. Steinhardt United States
L. L. Campbell Canada
K. Yao relative to J.S. Meditch United States J.S. Meditch's profile →
Citations per field
00.5×3.4×
J.S. Meditch · 1×
Citations per year

Countries citing papers authored by K. Yao

Since Specialization
Citations

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

Fields of papers citing papers by K. Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988164
2 1988119
3 2000108
4 199367
5 196766
6 200165
7 199237
8
A Wireless Time-Synchronized COTS Sensor Platform, Part II: Applications to Beamforming
200235
9 198934
10 200329
11 200425
12 200225
13 199117
14 199112
15 202410
16 200510
17 20029
18 19929
19 19868
20 20028

About K. Yao

K. Yao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence and Computational Theory and Mathematics, having authored 57 papers that have together received 946 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (17 papers), Wireless Communication Networks Research (9 papers), Blind Source Separation Techniques (9 papers), Advanced Adaptive Filtering Techniques (6 papers), Cooperative Communication and Network Coding (5 papers), Advanced MIMO Systems Optimization (5 papers), Error Correcting Code Techniques (5 papers) and Cellular Automata and Applications (5 papers). The work is most often cited by research in Signal Processing (189 citations), Computer Networks and Communications (339 citations), Statistical and Nonlinear Physics (129 citations), Computer Vision and Pattern Recognition (173 citations) and Computational Theory and Mathematics (106 citations). K. Yao has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Κωνσταντίνος Κωνσταντινίδης, E. Biglieri, J.S. Sadowsky, Ken Umeno, D. Maniezzo, Lev S. Tsimring, H.D.I. Abarbanel, Alexander Volkovskii, M. M. Sushchik and Nikolai F. Rulkov. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Communications Letters, Proceedings of the IEEE, IEEE Transactions on Communications 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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