Ching‐Te Chiu

1.1k citations
66 papers · 732 · h-index 14

Impact in

Papers in

Ching‐Te Chiu

59 papers receiving 696 citations

Peers

Ching‐Te Chiu
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 391
  • Hardware and Architecture 78
  • Media Technology 84
  • Computer Networks and Communications 131
  • Human-Computer Interaction 27
Replace Nicolás Guil with:
Nicolás Guil Spain
Sungpill Choi South Korea
Guanghui He China
Chao Zhu China
Shi Shao-bo China
Richard Kleihorst Netherlands
Wen‐Jyi Hwang Taiwan
Jong Hwan Ko South Korea
Ching‐Te Chiu relative to Nicolás Guil Spain Nicolás Guil's profile →
Citations per field
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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 25 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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201995
2 201977
3 201564
4 201155
5 201151
6 201943
7 201029
8 201028
9 201919
10 202218
11 202117
12 202017
13 201015
14 200714
15 201811
16 201510
17 200710
18 20189
19 20079
20 20119

About Ching‐Te Chiu

Ching‐Te Chiu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing, Media Technology and Computer Networks and Communications, having authored 66 papers that have together received 732 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Face and Expression Recognition (11 papers), Biometric Identification and Security (11 papers), Advanced Neural Network Applications (11 papers), Image Enhancement Techniques (11 papers), Human Pose and Action Recognition (9 papers), Advancements in PLL and VCO Technologies (9 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (391 citations), Hardware and Architecture (78 citations), Media Technology (84 citations), Computer Networks and Communications (131 citations) and Human-Computer Interaction (27 citations). Ching‐Te Chiu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Hsin‐Hung Chou, Shih‐Yin Lin, Wei‐Chen Wu, Jing-Jia Liou, Chun-Yi Lin, Fangchu Chen, Yikang Shen, Shawn S. H. Hsu, Chao-Tsung Huang and Jen‐Ming Wu. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Journal of Systems Architecture, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Access and IEEE Transactions on Multimedia.

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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