Chin‐Long Wey

156 papers receiving 1.3k citations

Peers

Chin‐Long Wey
Comparison fields: 5 of 69
  • Electrical and Electronic Engineering 1.1k
  • Biomedical Engineering 443
  • Hardware and Architecture 428
  • Computer Networks and Communications 210
  • Cardiology and Cardiovascular Medicine 101
Replace Stefan Heinen with:
Stefan Heinen Germany
Jos Huisken Netherlands
Neeta Pandey India
Luis Parrilla Spain
Alicia Klinefelter United States
Arnab Raha United States
Viera Stopjaková Slovakia
Bo Zhai United States
Rashid Rashidzadeh Canada
Magdy A. El-Moursy Egypt
Chin‐Long Wey relative to Stefan Heinen Germany Stefan Heinen's profile →
Citations per field
00.5×3.9×
Stefan Heinen · 1×
Citations per year

Countries citing papers authored by Chin‐Long Wey

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Long Wey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Long Wey. 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 Chin‐Long Wey. The network helps show where Chin‐Long Wey may publish in the future.

Co-authorship network of co-authors of Chin‐Long Wey

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Long Wey. A scholar is included among the top collaborators of Chin‐Long Wey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chin‐Long Wey. Chin‐Long Wey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 3
3 12
4 2
5 3
6 2
7 5
8 5
9 36
10
Efficient implementation of interpolation technique for symbol timing recovery
3
11
A pipelined divider with a small lookup table
1
12 4
13 0
14 0
15 6
16 5
17 3
18
Fault Location in Repairable Programmable Logic Arrays
5
19 3
20 2

About Chin‐Long Wey

Chin‐Long Wey is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Signal Processing, having authored 172 papers that have together received 1.4k indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (46 papers), Analog and Mixed-Signal Circuit Design (40 papers) and Low-power high-performance VLSI design (34 papers). The work is most often cited by research in Hardware and Architecture (428 citations), Electrical and Electronic Engineering (1.1k citations) and Biomedical Engineering (443 citations). Chin‐Long Wey has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Fabrizio Lombardi, Ming‐Der Shieh, Paul C.-P. Chao, Ke‐Horng Chen, R. Saeks, Ying-Hsi Lin, Tsung-Yen Tsai, Tzu‐Chi Huang, Jinsheng Wang and Wen‐Chang Chen. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and Sensors.

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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2026