F. K. Hwang

6.0k citations
255 papers · 4.0k · h-index 30

Impact in

Papers in

F. K. Hwang

234 papers receiving 3.5k citations

Peers

F. K. Hwang
Comparison fields: 5 of 118
  • Computer Graphics and Computer-Aided Design 362
  • Hardware and Architecture 552
  • Computer Networks and Communications 1.4k
  • Software 239
  • Safety, Risk, Reliability and Quality 456
Replace Frank K. Hwang with:
Frank K. Hwang Taiwan
Ding‐Zhu Du United States
Gerard J. Chang Taiwan
Charles J. Colbourn United States
Michael L. Fredman United States
Shimon Even Israel
C. K. Wong United States
Eugene L. Lawler United States
Kenneth Steiglitz United States
Jack Edmonds Canada
F. K. Hwang relative to Frank K. Hwang Taiwan Frank K. Hwang's profile →
Citations per field
00.5×3.7×
Frank K. Hwang · 1×
Citations per year

Countries citing papers authored by F. K. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by F. K. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992434
2 1976281
3 1982127
4 1993107
5 197293
6 197987
7 200384
8 198881
9 197672
10 197771
11 198671
12 198658
13 198653
14 197953
15 198952
16 200148
17 197546
18 197646
19 198245
20 197245

About F. K. Hwang

F. K. Hwang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence and Infectious Diseases, having authored 255 papers that have together received 4.0k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (79 papers), SARS-CoV-2 detection and testing (39 papers), graph theory and CDMA systems (37 papers), VLSI and FPGA Design Techniques (33 papers), Reliability and Maintenance Optimization (27 papers), Advanced Graph Theory Research (26 papers), Advanced Optical Network Technologies (21 papers) and Advanced biosensing and bioanalysis techniques (18 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (362 citations), Hardware and Architecture (552 citations), Computer Networks and Communications (1.4k citations), Software (239 citations) and Safety, Risk, Reliability and Quality (456 citations). F. K. Hwang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Dana Richards, Ding‐Zhu Du, Fan Chung, Jia Weng, Yi‐Ching Yao, M. R. Garey, Andrzej Jajszczyk, Gerard J. Chang, Alfred V. Aho and N.K. Bose. Their work appears in journals such as Networks, IEEE Transactions on Reliability, Journal of Combinatorial Theory Series A, IEEE Transactions on Communications and Discrete Mathematics.

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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