Cheng-Hsin Hsu

3.8k citations
170 papers · 2.5k indexed · h-index 25

Cheng-Hsin Hsu

156 papers receiving 2.5k citations

Peers

Cheng-Hsin Hsu
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 1.5k
  • Signal Processing 551
  • Computer Networks and Communications 1.2k
  • Human-Computer Interaction 277
  • Hardware and Architecture 331
Replace Hermann Hellwagner with:
Hermann Hellwagner Austria
David Chu United States
Eduardo Cuervo United States
Yong Cui China
Tim Wauters Belgium
Judith Kelner Brazil
Andy Hopper United Kingdom
Hong Va Leong Hong Kong
Brandon Amos United States
Mohamed Hefeeda Canada
Cheng-Hsin Hsu relative to Hermann Hellwagner Austria Hermann Hellwagner's profile →
Citations per field
00.5×3.5×
Hermann Hellwagner · 1×
Citations per year

Countries citing papers authored by Cheng-Hsin Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Hsin Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Hsin Hsu. 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 Cheng-Hsin Hsu. The network helps show where Cheng-Hsin Hsu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 20251
5 20253
6 20243
7 20242
8 20240
9 20241
10 20233
11 20232
12 20235
13 202219
14 201813
15 20171
16 20154
17 20144
18 20146
19 20139
20 200812

About Cheng-Hsin Hsu

Cheng-Hsin Hsu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Human-Computer Interaction and Hardware and Architecture, having authored 170 papers that have together received 2.5k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (69 papers), Video Coding and Compression Technologies (37 papers), Caching and Content Delivery (35 papers), Peer-to-Peer Network Technologies (22 papers), Cloud Computing and Remote Desktop Technologies (20 papers), Advanced Wireless Network Optimization (18 papers), Multimedia Communication and Technology (18 papers) and Visual Attention and Saliency Detection (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Signal Processing (551 citations), Computer Networks and Communications (1.2k citations), Human-Computer Interaction (277 citations) and Hardware and Architecture (331 citations). Cheng-Hsin Hsu has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Chun‐Ying Huang, Kuan-Ta Chen, Mohamed Hefeeda, Ching-Ling Fan, Wen-Chih Lo, Hua-Jun Hong, Deyu Chen, Kuan‐Ta Chen, Jean Lee and Shu Shi. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Multimedia, IEEE/ACM Transactions on Networking, IEEE Access and IEEE Transactions on Circuits and Systems for Video Technology.

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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