Shi‐Kuo Chang

2.5k total citations
109 papers, 1.4k citations indexed

About

Shi‐Kuo Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Shi‐Kuo Chang has authored 109 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 35 papers in Computer Networks and Communications. Recurrent topics in Shi‐Kuo Chang's work include Data Management and Algorithms (22 papers), Semantic Web and Ontologies (17 papers) and Multimedia Communication and Technology (17 papers). Shi‐Kuo Chang is often cited by papers focused on Data Management and Algorithms (22 papers), Semantic Web and Ontologies (17 papers) and Multimedia Communication and Technology (17 papers). Shi‐Kuo Chang collaborates with scholars based in United States, Taiwan and Italy. Shi‐Kuo Chang's co-authors include C. K. Chow, Panos A. Ligomenides, Tadao Ichikawa, Erland Jungert, Gennaro Costagliola, S. Levialdi, Maria Francesca Costabile, Xin Li, Angela Guercio and Masaru Tomita and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and IEEE Transactions on Communications.

In The Last Decade

Shi‐Kuo Chang

101 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi‐Kuo Chang United States 21 717 427 332 283 160 109 1.4k
Giuseppe Santucci Italy 22 624 0.9× 564 1.3× 432 1.3× 403 1.4× 321 2.0× 142 1.5k
James J. Thomas United States 11 988 1.4× 514 1.2× 180 0.5× 244 0.9× 189 1.2× 23 1.7k
Bo Wu United States 23 711 1.0× 634 1.5× 363 1.1× 80 0.3× 309 1.9× 90 1.6k
Yogachandran Rahulamathavan United Kingdom 18 306 0.4× 511 1.2× 434 1.3× 251 0.9× 530 3.3× 56 1.3k
Giuseppe Polese Italy 20 184 0.3× 508 1.2× 186 0.6× 118 0.4× 373 2.3× 89 983
Simon See Singapore 20 364 0.5× 534 1.3× 316 1.0× 78 0.3× 244 1.5× 129 1.4k
Yuan Qi China 17 204 0.3× 443 1.0× 423 1.3× 340 1.2× 214 1.3× 96 1.3k
William F. Clocksin United Kingdom 18 437 0.6× 1.0k 2.3× 323 1.0× 98 0.3× 213 1.3× 53 1.9k
T.L. McCluskey United Kingdom 19 336 0.5× 1.4k 3.3× 361 1.1× 359 1.3× 777 4.9× 103 2.2k
Hongxia Jin United States 24 428 0.6× 1.3k 3.1× 167 0.5× 417 1.5× 534 3.3× 149 2.2k

Countries citing papers authored by Shi‐Kuo Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐Kuo Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi‐Kuo Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Kuo Chang. A scholar is included among the top collaborators of Shi‐Kuo 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 Shi‐Kuo Chang. Shi‐Kuo 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.
Chang, Shi‐Kuo. (2015). Guest Editor׳s introduction. Journal of Visual Languages & Computing. 31. 129–129. 1 indexed citations
2.
Chang, Shi‐Kuo, et al.. (2013). A PetCare System designed by Slow Intelligence Principles.. 43–50.
3.
Wang, Yingze & Shi‐Kuo Chang. (2011). High Dimensional Feature Selection via a Slow Intelligence Approach.. 10–15. 3 indexed citations
4.
Hu, Yang, et al.. (2011). Design and Modeling of Topic/Trend Detection System By Applying Slow Intelligence System Principles.. 3–9. 2 indexed citations
5.
Chang, Shi‐Kuo, et al.. (2011). Design of Component-based Slow Intelligence Systems and Application to Social Influence Analysis.. Software Engineering and Knowledge Engineering. 9–16. 4 indexed citations
6.
Chang, Shi‐Kuo, Francesco Colace, Lei Zhao, & Yao Sun. (2011). PROCESSING CONTINUOUS QUERIES ON SENSOR-BASED MULTIMEDIA DATA STREAMS BY MULTIMEDIA DEPENDENCY ANALYSIS AND ONTOLOGICAL FILTERING. International Journal of Software Engineering and Knowledge Engineering. 21(8). 1169–1208. 7 indexed citations
7.
Colace, Francesco, Shi‐Kuo Chang, & Massimo De Santo. (2010). SINMS: A Slow Intelligence Network Manager based on SNMP Protocol. 1. 47–52. 2 indexed citations
8.
Li, Xin & Shi‐Kuo Chang. (2005). A Personalized E-Learning System Based on User Profile Constructed Using Information Fusion.. 109–114. 16 indexed citations
9.
Shih, Timothy K., Shi‐Kuo Chang, Jeffrey J. P. Tsai, Jianhua Ma, & Runhe Huang. (2001). Supporting Well-Engineered Web Documentation Development – a Multimedia Software Engineering Approach toward Virtual University Courseware Designs. Tamkang University Institutional Repository (TKUIR). 12(1). 139–165. 1 indexed citations
10.
Chang, Shi‐Kuo, et al.. (2000). An Itinerary-Diagram-based Approach for Mobile Agent Application Development. Journal of Applied Science and Engineering. 3(3). 209–227. 1 indexed citations
11.
Zhang, Qinglong, Shi‐Kuo Chang, & Stephen S.‐T. Yau. (1996). A Unified Approach to Iconic Indexing, Retrieval, and Maintenance of Spatial Relationships in Image Databases. Journal of Visual Communication and Image Representation. 7(4). 307–324. 12 indexed citations
12.
Chang, Shi‐Kuo. (1995). Toward a Theory of Active Index. Journal of Visual Languages & Computing. 6(1). 101–118. 21 indexed citations
13.
Costagliola, Gennaro, Shi‐Kuo Chang, & Masaru Tomita. (1992). Parsing 2D Languages by a Pictorial GLR Parser.. 319–333. 6 indexed citations
14.
Deng, Yi & Shi‐Kuo Chang. (1991). A HyperNet Model for Large Hypertext Systems. 484–490. 1 indexed citations
15.
Chang, Shi‐Kuo, et al.. (1989). Imprecise schema: a rationale for relations with embedded subrelations. ACM Transactions on Database Systems. 14(4). 447–479. 6 indexed citations
16.
Chang, Shi‐Kuo, Genny Tortora, Bing Yu, & Angela Guercio. (1987). ICON PURITY — TOWARD A FORMAL THEORY OF ICONS. International Journal of Pattern Recognition and Artificial Intelligence. 1(03n04). 377–392. 25 indexed citations
17.
Chang, Shi‐Kuo, et al.. (1982). Site Selection in Distributed Query Processing.. International Conference on Distributed Computing Systems. 7–12. 3 indexed citations
18.
Chang, Shi‐Kuo. (1981). Pictorial Information Systems - Guest Editor's Introduction.. Computer. 14. 10–11. 3 indexed citations
19.
Chang, Shi‐Kuo, et al.. (1978). Optimal histogram matching by monotone gray level transformation. Communications of the ACM. 21(10). 835–840. 5 indexed citations
20.
Wong, Ching & Shi‐Kuo Chang. (1974). Parallel Generation of Binary Search Trees. IEEE Transactions on Computers. C-23(3). 268–271. 3 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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