Ye‐In Chang

426 citations
56 papers · 274 indexed · h-index 10

Impact in

Papers in

Ye‐In Chang

47 papers receiving 255 citations

Peers

Ye‐In Chang
Comparison fields: 5 of 44
  • Computer Networks and Communications 143
  • Signal Processing 66
  • Hardware and Architecture 36
  • Computer Vision and Pattern Recognition 81
  • Computer Graphics and Computer-Aided Design 12
Replace Ulrich Finkler with:
Ulrich Finkler United States
Johannes Singler Germany
Vasilis Samoladas Greece
Sadjad Fouladi United States
Baochun Li Canada
H.-W. Six Germany
Jon Sneyers Belgium
Zhaoyi Liu China
Tianlei Hu China
Ye‐In Chang relative to Ulrich Finkler United States Ulrich Finkler's profile →
Citations per field
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Ulrich Finkler · 1×
Citations per year

Countries citing papers authored by Ye‐In Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ye‐In Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye‐In 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 Ye‐In Chang. The network helps show where Ye‐In Chang may publish in the future.

Co-authors

The 12 scholars most cited alongside Ye‐In 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 Ye‐In Chang Line = papers co-authored together Ye‐In Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20211
2 20191
3 20131
4
A Hilbert Curve-Based Distributed Index for Window Queries in Wireless Data Broadcast Systems
20091
5 200913
6 20084
7
An Efficient Signature Extraction Method for Image Similarity Retrieval
20061
8 20054
9 200430
10 20032
11
A Hybrid Approach to Query Sets Broadcasting Scheduling for Multiple Channels in Mobile Information Systems
20023
12 20020
13 20017
14 19971
15 19971
16 199625
17 19952
18 199417
19
An Incremental Approach to Dynamic Hashing for Expansible Files.
19930
20
An Improved O(log N) Mutual Exclusion Algorithm for Distributed Systems.
199015

About Ye‐In Chang

Ye‐In Chang is a scholar working on Signal Processing, Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 56 papers that have together received 274 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (17 papers), Data Management and Algorithms (16 papers), Advanced Data Storage Technologies (15 papers), Advanced Image and Video Retrieval Techniques (13 papers), Algorithms and Data Compression (13 papers), Caching and Content Delivery (12 papers), Data Mining Algorithms and Applications (11 papers) and Peer-to-Peer Network Technologies (9 papers). The work is most often cited by research in Computer Networks and Communications (143 citations), Signal Processing (66 citations), Hardware and Architecture (36 citations), Computer Vision and Pattern Recognition (81 citations) and Computer Graphics and Computer-Aided Design (12 citations). Ye‐In Chang has collaborated with scholars based in Taiwan and China. Frequent co-authors include Jun-Hong Shen, Mukesh Singhal, Ming T. Liu, Chien-I Lee, Cheng‐Chi Lee, Wei‐Hao Peng, Chung-Ming Huang, Yao-Jen Chang, Yao‐Jen Chang and Jui‐Hsiang Chen. Their work appears in journals such as Journal of Systems and Software, Pattern Recognition Letters, Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Knowledge and Data Engineering.

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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