Chung-Ping Chen

1.1k citations
51 papers · 765 indexed · h-index 13

Chung-Ping Chen

45 papers receiving 726 citations

Peers

Chung-Ping Chen
Comparison fields: 5 of 52
  • Hardware and Architecture 377
  • Electrical and Electronic Engineering 682
  • Computer Networks and Communications 104
  • Signal Processing 23
  • Cognitive Neuroscience 41
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Hongyang Jia China
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Citations per year

Countries citing papers authored by Chung-Ping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Ping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung-Ping Chen. 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 Chung-Ping Chen. The network helps show where Chung-Ping Chen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20240
4 20232
5 20238
6 20231
7 20172
8 20152
9 20153
10 20100
11
Performance measurement and queueing analysis at medium-high blocking probability of parallel connection servers with identical service rates
20091
12 20082
13
Performance analysis and simulation of an equivalent model of serial queues for computer networks
20071
14
Approximate analysis and measurement of equivalent model for tree connection of web server systems
20072
15 20057
16 20053
17 20026
18 1999133
19 199938
20 199623

About Chung-Ping Chen

Chung-Ping Chen is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Surfaces, Coatings and Films, having authored 51 papers that have together received 765 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (18 papers), VLSI and FPGA Design Techniques (17 papers), VLSI and Analog Circuit Testing (11 papers), Radio Frequency Integrated Circuit Design (5 papers), Network Traffic and Congestion Control (5 papers), Optical Coatings and Gratings (4 papers), Electromagnetic Compatibility and Noise Suppression (3 papers) and Advancements in PLL and VCO Technologies (3 papers). The work is most often cited by research in Hardware and Architecture (377 citations), Electrical and Electronic Engineering (682 citations) and Computer Networks and Communications (104 citations). Chung-Ping Chen has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Martin D. F. Wong, Chris Chu, Noel Menezes, Yao‐Wen Chang, Hai Zhou, N. Menezes, Chih-Yu Wang, Feipei Lai, Ming‐Jang Chiu and Jeng-Wei Lin. Their work appears in journals such as Journal of Lightwave Technology, IEEE Access, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Energies and Journal of Affective Disorders.

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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