Kai‐Wei Chang

9.8k total citations · 3 hit papers
55 papers, 7.1k citations indexed

About

Kai‐Wei Chang is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai‐Wei Chang has authored 55 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai‐Wei Chang's work include Speech Recognition and Synthesis (8 papers), Face and Expression Recognition (7 papers) and Music and Audio Processing (5 papers). Kai‐Wei Chang is often cited by papers focused on Speech Recognition and Synthesis (8 papers), Face and Expression Recognition (7 papers) and Music and Audio Processing (5 papers). Kai‐Wei Chang collaborates with scholars based in Taiwan, United States and China. Kai‐Wei Chang's co-authors include Cho‐Jui Hsieh, Chih‐Jen Lin, Wang Xiang-rui, S. Sathiya Keerthi, S. Sundararajan, Yin-Wen Chang, Calvin Yu‐Chian Chen, Tsung-Ying Tsai, Shau‐Ping Lin and Hong‐Nerng Ho and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and Scientific Reports.

In The Last Decade

Kai‐Wei Chang

55 papers receiving 6.8k citations

Hit Papers

LIBLINEAR: A Library for Large Linear Classification 2008 2026 2014 2020 2008 2008 2010 1000 2.0k 3.0k 4.0k

Peers

Kai‐Wei Chang
Comparison fields: 5 of 211
  • Artificial Intelligence 3.4k
  • Computer Vision and Pattern Recognition 2.4k
  • Molecular Biology 981
  • Information Systems 628
  • Signal Processing 549
Replace Shuiwang Ji with:
Shuiwang Ji United States
P. M. Durai Raj Vincent India
Ulrike von Luxburg Germany
Franco Scarselli Italy
S. Sathiya Keerthi India
Neil D. Lawrence United Kingdom
Kristin P. Bennett United States
Koby Crammer Israel
Michel Verleysen Belgium
Yang Wang China
Shuiwang Ji United States View profile →
Citations per field, relative to Kai‐Wei Chang
Kai‐Wei Chang · 1×
Citations per year, relative to Kai‐Wei Chang
Kai‐Wei Chang · 1×

Countries citing papers authored by Kai‐Wei Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai‐Wei Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Wei Chang. A scholar is included among the top collaborators of Kai‐Wei 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 Kai‐Wei Chang. Kai‐Wei 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
# Work Indexed citations
1 5
2 9
3 1
4 77
5 13
6 6
7 13
8 9
9 10
10 16
11 39
12 43
13 2
14 107
15 14
16
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM breakdown →
343
17 26
18
An ensemble of three classifiers for KDD cup 2009: expanded linear model, heterogeneous boosting, and selective naïve Bayes
11
19
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
162
20
LIBLINEAR: A Library for Large Linear Classification breakdown →
4786

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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