F.P.S. Chin

958 citations
37 papers · 686 · h-index 14

Impact in

Papers in

F.P.S. Chin

36 papers receiving 648 citations

Peers

F.P.S. Chin
Comparison fields: 5 of 54
  • Computer Graphics and Computer-Aided Design 88
  • Computer Networks and Communications 356
  • Signal Processing 91
  • Hardware and Architecture 50
  • Electrical and Electronic Engineering 396
Replace Delfin Y. Montuno with:
Delfin Y. Montuno Canada
Preparata United States
Hossam ElGindy Australia
J.G. Dunham United States
Y. F. Wu United States
John D. Hobby United States
Ruei‐Chuan Chang Taiwan
Xuehou Tan Japan
R. Stefanelli Italy
D.H.C. Du United States
F.P.S. Chin relative to Delfin Y. Montuno Canada Delfin Y. Montuno's profile →
Citations per field
00.5×1.5×2.1×
Delfin Y. Montuno · 1×
Citations per year

Countries citing papers authored by F.P.S. Chin

Since Specialization
Citations

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

Fields of papers citing papers by F.P.S. Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.P.S. Chin. 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.P.S. Chin. The network helps show where F.P.S. Chin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001127
2 199382
3 197876
4 200451
5 199546
6 200539
7 199831
8 200127
9 200326
10 200523
11 200317
12 199415
13 200514
14 200714
15 198412
16 200812
17 199710
18 20049
19 20006
20 20125

About F.P.S. Chin

F.P.S. Chin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 37 papers that have together received 686 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (16 papers), Wireless Communication Networks Research (14 papers), Advanced MIMO Systems Optimization (7 papers), Computational Geometry and Mesh Generation (6 papers), Cooperative Communication and Network Coding (5 papers), Direction-of-Arrival Estimation Techniques (4 papers), Advanced Adaptive Filtering Techniques (4 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (88 citations), Computer Networks and Communications (356 citations), Signal Processing (91 citations), Hardware and Architecture (50 citations) and Electrical and Electronic Engineering (396 citations). F.P.S. Chin has collaborated with scholars based in Singapore, Hong Kong and Canada. Frequent co-authors include Ying‐Chang Liang, Zhongding Lei, Cao An Wang, Mei‐Yee Chan, David J. Houck, Hao Zhu, Jack Snoeyink, K.J. Ray Liu, Hari Krishna Garg and B. Kannan. Their work appears in journals such as Algorithmica, IEEE Signal Processing Letters, IEEE Transactions on Communications, IEEE Journal on Selected Areas in Communications and Journal of Combinatorial Optimization.

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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