Ray-I Chang

2.2k citations
160 papers · 1.5k · h-index 21

Impact in

Papers in

Ray-I Chang

145 papers receiving 1.4k citations

Peers

Ray-I Chang
Comparison fields: 5 of 130
  • Computer Science Applications 197
  • Computer Networks and Communications 371
  • Computer Vision and Pattern Recognition 253
  • Hardware and Architecture 60
  • Ceramics and Composites 49
Replace Kunihiko Oka with:
Kunihiko Oka Japan
Wenzhi Chen China
Youngki Lee South Korea
Martin Purvis New Zealand
Yuichi Nakamura Japan
Quang Tran Minh Vietnam
Zongkai Yang China
Maurizio Marchese Italy
Moataz Ahmed Saudi Arabia
Ray-I Chang relative to Kunihiko Oka Japan Kunihiko Oka's profile →
Citations per field
00.5×10×14.1×
Kunihiko Oka · 1×
Citations per year

Countries citing papers authored by Ray-I Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ray-I Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ray-I Chang. 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 Ray-I Chang. The network helps show where Ray-I Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013159
2 201582
3 196660
4 197953
5 201547
6 200545
7 197140
8 197539
9 200736
10 202034
11 197627
12 196226
13 201325
14 201724
15 199923
16 196423
17 196522
18 201121
19 196221
20 200221

About Ray-I Chang

Ray-I Chang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Materials Chemistry, having authored 160 papers that have together received 1.5k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (19 papers), Network Traffic and Congestion Control (13 papers), Caching and Content Delivery (12 papers), Peer-to-Peer Network Technologies (11 papers), Image and Video Quality Assessment (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Energy Harvesting in Wireless Networks (8 papers) and VLSI and FPGA Design Techniques (7 papers). The work is most often cited by research in Computer Science Applications (197 citations), Computer Networks and Communications (371 citations), Computer Vision and Pattern Recognition (253 citations), Hardware and Architecture (60 citations) and Ceramics and Composites (49 citations). Ray-I Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chun Fu Lin, Yu Hsin Hung, L. J. Graham, Yu‐chu Yeh, Jan-Ming Ho, Chi‐Cheng Chuang, L. M. Falicov, W. L. Morris, O. Buck and Wei‐Kuan Shih. Their work appears in journals such as Applied Sciences, Journal of Applied Physics, Journal of Physics and Chemistry of Solids, Electronics and Sensors.

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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