Shiwei Tong
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Information Systems
- Computer Vision and Pattern Recognition
- Developmental and Educational Psychology
- Co-authors
- Enhong ChenWei HuangQi LiuTong XuShijin WangHaiping MaChuanren LiuHongke Zhao
- Topics
- Topic Modeling (11 papers)Online Learning and Analytics (8 papers)Intelligent Tutoring Systems and Adaptive Learning (7 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringACM Transactions on Information SystemsProceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Shiwei Tong
17 papers receiving 206 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 187
- Computer Science Applications 72
- Information Systems 32
- Computer Vision and Pattern Recognition 28
- Developmental and Educational Psychology 11
Countries citing papers authored by Shiwei Tong
This map shows the geographic impact of Shiwei Tong'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 Shiwei Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiwei Tong more than expected).
Fields of papers citing papers by Shiwei Tong
This network shows the impact of papers produced by Shiwei Tong. 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 Shiwei Tong. The network helps show where Shiwei Tong may publish in the future.
Co-authorship network of co-authors of Shiwei Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Shiwei Tong. A scholar is included among the top collaborators of Shiwei Tong 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 Shiwei Tong. Shiwei Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 12 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 14 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 66 | |
| 17 | 3 | |
| 18 | 46 |
About Shiwei Tong
Shiwei Tong is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems, having authored 18 papers that have together received 208 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Online Learning and Analytics (8 papers) and Intelligent Tutoring Systems and Adaptive Learning (7 papers). The work is most often cited by research in Computer Science Applications (72 citations), Artificial Intelligence (187 citations) and Information Systems (32 citations). Shiwei Tong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Enhong Chen, Wei Huang, Qi Liu, Tong Xu, Shijin Wang, Qi Liu, Haiping Ma, Chuanren Liu, Hongke Zhao and Zhenya Huang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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.