Yuan‐Chi Chang

984 total citations
48 papers, 644 citations indexed

About

Yuan‐Chi Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Yuan‐Chi Chang has authored 48 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 23 papers in Signal Processing and 19 papers in Computer Networks and Communications. Recurrent topics in Yuan‐Chi Chang's work include Data Management and Algorithms (13 papers), Advanced Database Systems and Queries (10 papers) and Image Retrieval and Classification Techniques (8 papers). Yuan‐Chi Chang is often cited by papers focused on Data Management and Algorithms (13 papers), Advanced Database Systems and Queries (10 papers) and Image Retrieval and Classification Techniques (8 papers). Yuan‐Chi Chang collaborates with scholars based in United States, Türkiye and Saudi Arabia. Yuan‐Chi Chang's co-authors include Chung‐Sheng Li, John R. Smith, Lawrence D. Bergman, Vittorio Castelli, Ming-Ling Lo, Apostol Natsev, Jeffrey Scott Vitter, Mustafa Canim, David G. Messerschmitt and Mohammad Sadoghi and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM SIGMOD Record.

In The Last Decade

Yuan‐Chi Chang

47 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan‐Chi Chang United States 11 407 397 187 159 143 48 644
Marcos R. Vieira United States 11 351 0.9× 195 0.5× 179 1.0× 167 1.1× 139 1.0× 33 625
George Beskales Canada 7 547 1.3× 456 1.1× 138 0.7× 356 2.2× 239 1.7× 9 873
Mingxi Wu United States 12 306 0.8× 366 0.9× 91 0.5× 490 3.1× 84 0.6× 19 715
Vlastislav Dohnal Czechia 8 481 1.2× 181 0.5× 466 2.5× 276 1.7× 126 0.9× 29 801
Stephan Seufert Germany 9 156 0.4× 207 0.5× 175 0.9× 365 2.3× 109 0.8× 13 593
Andrey Gubichev Germany 9 419 1.0× 572 1.4× 266 1.4× 382 2.4× 213 1.5× 14 826
Ying Cai United States 15 203 0.5× 362 0.9× 102 0.5× 490 3.1× 110 0.8× 48 918
Seung-won Hwang South Korea 14 272 0.7× 313 0.8× 98 0.5× 300 1.9× 342 2.4× 72 742
Michal Batko Czechia 10 586 1.4× 212 0.5× 643 3.4× 302 1.9× 147 1.0× 38 990
Daniele Braga Italy 14 337 0.8× 532 1.3× 102 0.5× 530 3.3× 336 2.3× 35 825

Countries citing papers authored by Yuan‐Chi Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Chi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan‐Chi Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Chi Chang. A scholar is included among the top collaborators of Yuan‐Chi Chang 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 Yuan‐Chi Chang. Yuan‐Chi Chang 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
1.
Vu, Long, Yuan‐Chi Chang, Deepak S. Turaga, et al.. (2018). A Large-Scale System for Real-Time Glucose Monitoring. 3. 34–37. 1 indexed citations
2.
Abdelhamid, Ehab, Mustafa Canim, Mohammad Sadoghi, et al.. (2017). Incremental Frequent Subgraph Mining on Large Evolving Graphs. IEEE Transactions on Knowledge and Data Engineering. 29(12). 2710–2723. 37 indexed citations
3.
Sadoghi, Mohammad, Kavitha Srinivas, Oktie Hassanzadeh, et al.. (2016). Self-Curating Databases. Movebank. 5 indexed citations
4.
Aksu, Hidayet, Mustafa Canim, Yuan‐Chi Chang, İbrahim Körpeoǧlu, & Özgür Ulusoy. (2015). Graph Aware Caching Policy for Distributed Graph Stores. Bilkent University Institutional Repository (Bilkent University). 41. 6–15. 2 indexed citations
5.
Cao, Liangliang, et al.. (2012). IBM T.J. Watson Research Center, Multimedia Analytics: Modality Classification and Case-Based Retrieval Tasks of ImageCLEF2012.. 2 indexed citations
6.
Srivastava, Biplav & Yuan‐Chi Chang. (2009). Business Insight from Collection of Unstructured Formatted Documents with IBM Content Harvester. 3 indexed citations
7.
Campbell, Murray, et al.. (2008). Event detection in sensor networks for modern oil fields. 95–102. 10 indexed citations
8.
Hu, Ling, Kenneth A. Ross, Yuan‐Chi Chang, Christian A. Lang, & Donghui Zhang. (2008). QueryScope. Proceedings of the VLDB Endowment. 1(2). 1488–1491. 11 indexed citations
9.
Lang, Christian A., Yuan‐Chi Chang, & J. R. Smith. (2004). Making the threshold algorithm access cost aware. IEEE Transactions on Knowledge and Data Engineering. 16(10). 1297–1301. 3 indexed citations
10.
Chang, Yuan‐Chi, Richard Han, Chung‐Sheng Li, & John R. Smith. (2002). Secure transcoding of internet content. 940–943. 5 indexed citations
11.
Smith, J. R., Yuan‐Chi Chang, & Chung‐Sheng Li. (2002). Multi-object multi-feature content based search using MPEG-7. 2. 584–587. 1 indexed citations
12.
Chang, Yuan‐Chi, Chung‐Sheng Li, & David G. Messerschmitt. (2002). Adapting network video to multi-time scale bandwidth fluctuations. 2. 999–1002. 2 indexed citations
13.
Castelli, V., Chung‐Sheng Li, Yuan‐Chi Chang, et al.. (2002). Solarspire: querying temporal solar imagery by content. 1. 834–837. 10 indexed citations
14.
Natsev, Apostol, Yuan‐Chi Chang, John R. Smith, Chung‐Sheng Li, & Jeffrey Scott Vitter. (2001). Supporting Incremental Join Queries on Ranked Inputs. Very Large Data Bases. 281–290. 113 indexed citations
15.
Li, Chung‐Sheng, Yuan‐Chi Chang, Lawrence D. Bergman, & John R. Smith. (2000). Model-Based Multi-Modal Information Retrieval from Large Archives.. 2 indexed citations
16.
Chang, Yuan‐Chi, Lawrence D. Bergman, Vittorio Castelli, et al.. (2000). The onion technique. 391–402. 89 indexed citations
17.
Chang, Yuan‐Chi, Lawrence D. Bergman, John R. Smith, & Chung‐Sheng Li. (1999). <title>Efficient multidimensional indexing structure for linear maximization queries</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3846. 360–370. 1 indexed citations
18.
Chang, Yuan‐Chi, David G. Messerschmitt, & Thom Carney. (1998). <title>Expanding network video capacity with delay-cognizant video coding</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3653. 783–794. 3 indexed citations
19.
Chang, Yuan‐Chi, Zon‐Yin Shae, & M. Willebeek-LeMair. (1996). <title>Multiparty videoconferencing using IP multicast</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2667. 304–311. 3 indexed citations
20.
Seshan, Srinivasan, E. Amir, R.W. Brodersen, et al.. (1996). A low-power, lightweight unit to provide ubiquitous information access application and network support for InfoPad. IEEE Personal Communications. 3(2). 4–17. 41 indexed citations

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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