Kuiyu Chang
- Artificial Intelligence top 2%
- Information Systems top 2%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Ee‐Peng LimQi HeSteven C. H. HoiZhen HaiJoydeep GhoshGuangxia LiSiu Cheung HuiTam T. Nguyen
- Topics
- Advanced Text Analysis Techniques (16 papers)Sentiment Analysis and Opinion Mining (14 papers)Text and Document Classification Technologies (11 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with ApplicationsBMC Bioinformatics
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Kuiyu Chang
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 795
- Information Systems 451
- Statistical and Nonlinear Physics 198
- Computer Vision and Pattern Recognition 195
- Computer Networks and Communications 133
Countries citing papers authored by Kuiyu Chang
This map shows the geographic impact of Kuiyu 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 Kuiyu Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuiyu Chang more than expected).
Fields of papers citing papers by Kuiyu Chang
This network shows the impact of papers produced by Kuiyu 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 Kuiyu Chang. The network helps show where Kuiyu Chang may publish in the future.
Co-authorship network of co-authors of Kuiyu Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuiyu Chang. A scholar is included among the top collaborators of Kuiyu 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 Kuiyu Chang. Kuiyu Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 88 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 25 | |
| 6 | 7 | |
| 7 | Feature extraction and clustering-based retrieval for mathematical formulas | 3 |
| 8 | 55 | |
| 9 | 31 | |
| 10 | 82 | |
| 11 | 2 | |
| 12 | Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics | 3 |
| 13 | 40 | |
| 14 | 62 | |
| 15 | 10 | |
| 16 | Intelligence and Security Informatics: International Workshop, WISI 2006, Singapore, April 9, 2006, Proceedings (Lecture Notes in Computer Science) | 1 |
| 17 | 20 | |
| 18 | 1 | |
| 19 | 75 | |
| 20 | Nonlinear dimensionality reduction using probabilistic principal surfaces | 8 |
About Kuiyu Chang
Kuiyu Chang is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (16 papers), Sentiment Analysis and Opinion Mining (14 papers) and Text and Document Classification Technologies (11 papers). The work is most often cited by research in Artificial Intelligence (795 citations), Information Systems (451 citations) and Statistical and Nonlinear Physics (198 citations). Kuiyu Chang has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Ee‐Peng Lim, Qi He, Steven C. H. Hoi, Zhen Hai, Joydeep Ghosh, Guangxia Li, Siu Cheung Hui, Tam T. Nguyen, Gao Cong and Chang Xu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and BMC Bioinformatics.
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.