Ching-Te Chiu

515 citations
30 papers · 387 · h-index 10

Impact in

Papers in

Ching-Te Chiu

28 papers receiving 362 citations

Peers

Ching-Te Chiu
Comparison fields: 5 of 56
  • Media Technology 87
  • Computer Vision and Pattern Recognition 136
  • Software 13
  • Hardware and Architecture 23
  • Electrical and Electronic Engineering 141
Replace Rajesh Garg with:
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John Macdonald United Kingdom
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Imbaby I. Mahmoud Egypt
T. Hoshino Japan
Takashi Ida Japan
Runtao Ding China
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Ching-Te Chiu relative to Rajesh Garg United States Rajesh Garg's profile →
Citations per field
00.5×1.5×2.2×
Rajesh Garg · 1×
Citations per year

Countries citing papers authored by Ching-Te Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Te Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Te Chiu. 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 Ching-Te Chiu. The network helps show where Ching-Te Chiu may publish in the future.

Co-authors

The 23 scholars most cited alongside Ching-Te Chiu, 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 Ching-Te Chiu Line = papers co-authored together Ching-Te Chiu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010125
2 199366
3 201429
4 199426
5 201422
6 201219
7 200516
8 202212
9 201411
10 199310
11 20068
12 20076
13 20216
14 19925
15 20084
16 20123
17 20172
18 20112
19 20082
20 20132

About Ching-Te Chiu

Ching-Te Chiu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Computer Networks and Communications and Hardware and Architecture, having authored 30 papers that have together received 387 indexed citations. Recurring topics across this work include Advancements in PLL and VCO Technologies (6 papers), Low-power high-performance VLSI design (6 papers), Advanced Image Processing Techniques (6 papers), Advanced Vision and Imaging (6 papers), Image and Signal Denoising Methods (5 papers), Semiconductor Quantum Structures and Devices (4 papers), Interconnection Networks and Systems (4 papers) and Radio Frequency Integrated Circuit Design (3 papers). The work is most often cited by research in Media Technology (87 citations), Computer Vision and Pattern Recognition (136 citations), Software (13 citations), Hardware and Architecture (23 citations) and Electrical and Electronic Engineering (141 citations). Ching-Te Chiu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include G. B. Stringfellow, Kevin Huang, R. M. Cohen, Shawn S. H. Hsu, Jen‐Ming Wu, Liren Huang, Yarsun Hsu, Wei‐Chen Wu, Cheng‐Shang Chang and Duan‐Shin Lee. Their work appears in journals such as Journal of Crystal Growth, IEEE Transactions on Circuits and Systems I Regular Papers, Journal of Electronic Materials, IEEE Transactions on Image Processing and Journal of Applied Physics.

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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