Ke Tu
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- Complex Network Analysis Techniques 2
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks 7
- Topic Modeling 3
- Bayesian Modeling and Causal Inference 1
- Information Systems top 10%
- Recommender Systems and Techniques 5
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- Video Surveillance and Tracking Methods 2
- Image and Signal Denoising Methods 1
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- Advanced Image Fusion Techniques 1
- Co-authors
- Peng CuiWenwu ZhuXiao WangPhilip S. YuFei WangZhiqiang ZhangQi YuanJianxin Ma
- Journals
- Frontiers of Computer Science (1 paper)Applied Mechanics and Materials (1 paper)Acta Horticulturae (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ke Tu
14 papers receiving 317 citations
Peers
Comparison fields: 5 of 53
- Statistical and Nonlinear Physics 151
- Artificial Intelligence 269
- Information Systems 96
- Computer Vision and Pattern Recognition 77
- Computational Mathematics 2
Countries citing papers authored by Ke Tu
This map shows the geographic impact of Ke Tu'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 Ke Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Tu more than expected).
Fields of papers citing papers by Ke Tu
This network shows the impact of papers produced by Ke Tu. 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 Ke Tu. The network helps show where Ke Tu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ke Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 34 | |
| 10 | 2020 | 25 | |
| 11 | 2019 | 23 | |
| 12 | 2018 | 125 | |
| 13 | 2018 | 99 | |
| 14 | 2015 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2006 | 8 |
About Ke Tu
Ke Tu is a scholar working on Artificial Intelligence, Information Systems and Urban Studies, having authored 16 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (5 papers), Topic Modeling (3 papers), Complex Network Analysis Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Image and Signal Denoising Methods (1 paper), Advanced Image Fusion Techniques (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (151 citations), Artificial Intelligence (269 citations) and Information Systems (96 citations). Ke Tu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Peng Cui, Wenwu Zhu, Xiao Wang, Philip S. Yu, Fei Wang, Zhiqiang Zhang, Qi Yuan, Jianxin Ma, Daixin Wang and Jian Pei. Their work appears in journals such as Frontiers of Computer Science, Applied Mechanics and Materials, Acta Horticulturae, Proceedings of the AAAI Conference on Artificial Intelligence and 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP).
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.