Ching‐Te Chiu

1.1k total citations
66 papers, 732 citations indexed

About

Ching‐Te Chiu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Ching‐Te Chiu has authored 66 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 16 papers in Electrical and Electronic Engineering and 11 papers in Signal Processing. Recurrent topics in Ching‐Te Chiu's work include Advanced Image and Video Retrieval Techniques (13 papers), Face and Expression Recognition (11 papers) and Biometric Identification and Security (11 papers). Ching‐Te Chiu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Face and Expression Recognition (11 papers) and Biometric Identification and Security (11 papers). Ching‐Te Chiu collaborates with scholars based in Taiwan, China and United States. Ching‐Te Chiu's co-authors include Hsin‐Hung Chou, Shih‐Yin Lin, Jing-Jia Liou, Chun-Yi Lin, Wei‐Chen Wu, Fangchu Chen, Yikang Shen, Chao-Tsung Huang, Jen‐Ming Wu and Shawn S. H. Hsu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Ching‐Te Chiu

59 papers receiving 696 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ching‐Te Chiu Taiwan 14 391 175 131 110 84 66 732
Michel Paindavoine France 13 295 0.8× 199 1.1× 37 0.3× 86 0.8× 109 1.3× 102 677
Wen‐Jyi Hwang Taiwan 14 278 0.7× 141 0.8× 42 0.3× 135 1.2× 42 0.5× 82 686
Jean Andrian United States 12 215 0.5× 173 1.0× 112 0.9× 62 0.6× 68 0.8× 45 635
Sungpill Choi South Korea 14 324 0.8× 438 2.5× 64 0.5× 154 1.4× 39 0.5× 36 682
Chao Zhu China 12 482 1.2× 136 0.8× 52 0.4× 158 1.4× 101 1.2× 33 696
Liangzhen Lai United States 14 415 1.1× 530 3.0× 94 0.7× 316 2.9× 50 0.6× 31 977
Richard Kleihorst Netherlands 18 582 1.5× 395 2.3× 189 1.4× 49 0.4× 128 1.5× 71 960
V.M. Brea Spain 16 427 1.1× 338 1.9× 144 1.1× 132 1.2× 88 1.0× 102 930
Sek Chai United States 15 349 0.9× 359 2.1× 164 1.3× 184 1.7× 65 0.8× 39 768
Nitya Ranganathan United States 8 282 0.7× 100 0.6× 302 2.3× 55 0.5× 88 1.0× 17 755

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-authorship network of co-authors of Ching‐Te Chiu

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Te Chiu. A scholar is included among the top collaborators of Ching‐Te Chiu 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 Ching‐Te Chiu. Ching‐Te Chiu 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
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Chiu, Ching‐Te, et al.. (2024). Tiny Partial Fingerprint Sensor Quality Assessment. IEEE Sensors Letters. 8(5). 1–4. 1 indexed citations
3.
Chiu, Ching‐Te, et al.. (2023). Multiple Training Stage Image Enhancement Enrolled With CCRGAN Pseudo Templates for Large Area Dry Fingerprint Recognition. IEEE Access. 11. 86790–86800. 4 indexed citations
4.
Lin, W. W., et al.. (2023). RGB-D Based Pose-Invariant Face Recognition Via Attention Decomposition Module. 1–5. 2 indexed citations
5.
Chiu, Ching‐Te, et al.. (2022). Chaos LiDAR Based RGB-D Face Classification System With Embedded CNN Accelerator on FPGAs. IEEE Transactions on Circuits and Systems I Regular Papers. 69(12). 4847–4859. 18 indexed citations
6.
Chiu, Ching‐Te, et al.. (2022). Multi-View RGB-D Based 3D Point Cloud Face Model Reconstruction System. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 18. 3008–3012. 1 indexed citations
7.
Chiu, Ching‐Te, et al.. (2021). Real-Time Block-Based Embedded CNN for Gesture Classification on an FPGA. IEEE Transactions on Circuits and Systems I Regular Papers. 68(10). 4182–4193. 17 indexed citations
8.
Chiu, Ching‐Te, et al.. (2020). Fast and Accurate Embedded DCNN for Rgb-D Based Sign Language Recognition. 1568–1572. 5 indexed citations
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10.
Lin, Tzu‐Ying, et al.. (2020). Rgb-D Based Multi-Modal Deep Learning for Face Identification. 1668–1672. 7 indexed citations
11.
Chiu, Ching‐Te, et al.. (2019). Multi-teacher Knowledge Distillation for Compressed Video Action Recognition on Deep Neural Networks. 2202–2206. 43 indexed citations
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13.
Chiu, Ching‐Te, et al.. (2018). Resource Efficient Hardware Implementation for Real-Time Traffic Sign Recognition. 1120–1124. 9 indexed citations
14.
Chiu, Ching‐Te, et al.. (2017). LBP edge-mapped descriptor using MGM interest points for face recognition. 22. 1183–1187. 5 indexed citations
15.
Chiu, Ching‐Te, et al.. (2016). Fingerprint recognition with ridge features and minutiae on distortion. 2109–2113. 5 indexed citations
16.
Chiu, Ching‐Te, et al.. (2013). Low cost illumination invariant face recognition by down-up sampling self quotient image. 1–6. 2 indexed citations
17.
Chiu, Ching‐Te, et al.. (2011). On the design and analysis of fault tolerant NoC architecture using spare routers. Asia and South Pacific Design Automation Conference. 431–436. 51 indexed citations
18.
Wu, Jen‐Ming, et al.. (2011). A 10 to 11.5GHz rotational phase and frequency detector for clock recovery circuit. 40. 185–188. 5 indexed citations
19.
Chiu, Ching‐Te, et al.. (2010). A 0.64 mm$^{2}$ Real-Time Cascade Face Detection Design Based on Reduced Two-Field Extraction. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 19(11). 1937–1948. 28 indexed citations
20.

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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