Chih-Chung Chang

47.5k citations
11 papers · 34.4k · 2 hit papers · h-index 9

Impact in

Papers in

Chih-Chung Chang

10 papers receiving 33.1k citations

Chih-Chung Chang's Hit Papers

LIBSVM 2011 · 29.6k citations
29.6k0+6+12Years since publication5.0k10.0k15.0k20.0k25.0k

Peers

Chih-Chung Chang
Comparison fields: 5 of 230
  • Computer Vision and Pattern Recognition 10.7k
  • Artificial Intelligence 11.4k
  • Signal Processing 3.4k
  • Media Technology 2.7k
  • Human-Computer Interaction 1.1k
Replace John S. Shawe-Taylor with:
John S. Shawe-Taylor United Kingdom
Corinna Cortes United States
Isabelle Guyon United States
Patrick Haffner United States
John C. Platt United States
Aaron C. Courville Canada
Sergey Ioffe United States
Richard O. Duda United States
Wei Liu China
Chih‐Jen Lin Taiwan
Chih-Chung Chang relative to John S. Shawe-Taylor United Kingdom John S. Shawe-Taylor's profile →
Citations per field
00.5×1.5×1.8×
John S. Shawe-Taylor · 1×
Citations per year

Countries citing papers authored by Chih-Chung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chih-Chung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Chih-Chung 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 Chih-Chung Chang Line = papers co-authored together Chih-Chung Chang links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
LIBSVM
Hit paper breakdown →
201129561
2
A Practical Guide to Support Vector Classication
Hit paper breakdown →
20083996
3 2001421
4 2002269
5 200232
6 200129
7 199618
8 199417
9 20049
10 20047
11 20190

About Chih-Chung Chang

Chih-Chung Chang is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 11 papers that have together received 34.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Stochastic processes and statistical mechanics (5 papers), Theoretical and Computational Physics (4 papers), Neural Networks and Applications (3 papers), Random Matrices and Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (10.7k citations), Artificial Intelligence (11.4k citations), Signal Processing (3.4k citations), Media Technology (2.7k citations) and Human-Computer Interaction (1.1k citations). Chih-Chung Chang has collaborated with scholars based in Taiwan, France and Brazil. Frequent co-authors include Chih‐Jen Lin, Chih‐Wei Hsu, Cláudio Landim, Stefano Olla, Joseph Hamill, Steven J. Stanhope and KURT T. MANAL. Their work appears in journals such as Probability Theory and Related Fields, Neural Computation, The Annals of Probability, Journal of Biomechanics and ACM Transactions on Intelligent Systems and 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.

Explore authors with similar magnitude of impact