Kaize Shi
Impact in
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- Online Learning and Analytics
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Graph Neural Networks
- Sentiment Analysis and Opinion Mining
Papers in
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- Topic Modeling 10
- Advanced Graph Neural Networks 5
- Advanced Text Analysis Techniques 4
- Natural Language Processing Techniques 3
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- Recommender Systems and Techniques 4
- Co-authors
- Zhendong Niu (21 shared papers)Yifan Zhu (15 shared papers)Hao Lü (14 shared papers)Qika Lin (3 shared papers)Yisheng Lv (3 shared papers)Xueping Peng (5 shared papers)Shanshan Wan (1 shared paper)Pengfei Shi (1 shared paper)
- Journals
- IEEE Transactions on Computational Social Systems (5 papers)CAAI Transactions on Intelligence Technology (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Neurocomputing (2 papers)Future Generation Computer Systems (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kaize Shi
24 papers receiving 371 citations
Peers
Comparison fields: 5 of 72
- Computer Science Applications 61
- Artificial Intelligence 224
- Information Systems 124
- Communication 24
- Transportation 20
Countries citing papers authored by Kaize Shi
This map shows the geographic impact of Kaize Shi'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 Kaize Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaize Shi more than expected).
Fields of papers citing papers by Kaize Shi
This network shows the impact of papers produced by Kaize Shi. 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 Kaize Shi. The network helps show where Kaize Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaize Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2021 | 51 | |
| 3 | 2021 | 33 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 25 | |
| 6 | 2018 | 24 | |
| 7 | 2019 | 24 | |
| 8 | 2022 | 24 | |
| 9 | 2019 | 19 | |
| 10 | 2018 | 16 | |
| 11 | 2021 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2024 | 10 | |
| 14 | 2020 | 7 | |
| 15 | 2018 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2019 | 4 | |
| 19 | A Session-based Job Recommendation System Combining Area Knowledge and Interest Graph Neural Networks. | 2020 | 2 |
| 20 | 2023 | 2 |
About Kaize Shi
Kaize Shi is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Communication and Signal Processing, having authored 30 papers that have together received 381 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Complex Network Analysis Techniques (6 papers), Advanced Graph Neural Networks (5 papers), Public Relations and Crisis Communication (5 papers), Advanced Text Analysis Techniques (4 papers), Traffic Prediction and Management Techniques (4 papers), Recommender Systems and Techniques (4 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Computer Science Applications (61 citations), Artificial Intelligence (224 citations), Information Systems (124 citations), Communication (24 citations) and Transportation (20 citations). Kaize Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhendong Niu, Yifan Zhu, Hao Lü, Qika Lin, Yisheng Lv, Xueping Peng, Shanshan Wan, Pengfei Shi, Yong Yuan and Fei–Yue Wang. Their work appears in journals such as IEEE Transactions on Computational Social Systems, CAAI Transactions on Intelligence Technology, IEEE Transactions on Knowledge and Data Engineering, Neurocomputing and Future Generation Computer Systems.
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.