Chua Tat-Seng
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Information Systems top 10%
- Cognitive Neuroscience
- Co-authors
- Min ZhangYongfeng ZhangShaoping MaYiqun LiuMohan KankanhalliKarthik YadatiHarish KattiGuibing Guo
- Topics
- Advanced Image and Video Retrieval Techniques (3 papers)Image Retrieval and Classification Techniques (3 papers)Aesthetic Perception and Analysis (2 papers)
- Journals
- National University of SingaporeENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Chua Tat-Seng
8 papers receiving 370 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 280
- Artificial Intelligence 83
- Signal Processing 76
- Information Systems 66
- Cognitive Neuroscience 22
Countries citing papers authored by Chua Tat-Seng
This map shows the geographic impact of Chua Tat-Seng'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 Chua Tat-Seng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chua Tat-Seng more than expected).
Fields of papers citing papers by Chua Tat-Seng
This network shows the impact of papers produced by Chua Tat-Seng. 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 Chua Tat-Seng. The network helps show where Chua Tat-Seng may publish in the future.
Co-authorship network of co-authors of Chua Tat-Seng
This figure shows the co-authorship network connecting the top 25 collaborators of Chua Tat-Seng. A scholar is included among the top collaborators of Chua Tat-Seng 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 Chua Tat-Seng. Chua Tat-Seng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | f BGD : Learning Embeddings From Positive Unlabeled Data with BGD. | 14 |
| 2 | Catch the black sheep: unified framework for shilling attack detection based on fraudulent action propagation | 49 |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 32 | |
| 6 | 3 | |
| 7 | 19 | |
| 8 | Visual Information Retrieval | 249 |
About Chua Tat-Seng
Chua Tat-Seng is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, having authored 8 papers that have together received 381 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Aesthetic Perception and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (280 citations), Signal Processing (76 citations) and Information Systems (66 citations). Chua Tat-Seng has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Min Zhang, Yongfeng Zhang, Shaoping Ma, Yiqun Liu, Mohan Kankanhalli, Karthik Yadati, Harish Katti, Guibing Guo, Fajie Yuan and Joemon M. Jose. Their work appears in journals such as National University of Singapore, ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.