Kan Ren
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
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- Advanced Bandit Algorithms Research
Papers in
-
- Reinforcement Learning in Robotics 4
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- Video Analysis and Summarization 4
- Advanced Image and Video Retrieval Techniques 4
- Image Retrieval and Classification Techniques 4
- Co-authors
- Yong Yu (13 shared papers)Weinan Zhang (14 shared papers)Han Cai (3 shared papers)Ying Wen (1 shared paper)Jun Wang (1 shared paper)Yanru Qu (1 shared paper)Jun Wang (4 shared papers)Lantao Yu (1 shared paper)
- Journals
- Applied Sciences (1 paper)BMJ Open (1 paper)Multimedia Tools and Applications (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Kan Ren
28 papers receiving 921 citations
Kan Ren's Hit Papers
Peers
Comparison fields: 5 of 89
- Information Systems 552
- Management Science and Operations Research 198
- Artificial Intelligence 500
- Computer Vision and Pattern Recognition 276
- Marketing 83
Countries citing papers authored by Kan Ren
This map shows the geographic impact of Kan Ren'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 Kan Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Ren more than expected).
Fields of papers citing papers by Kan Ren
This network shows the impact of papers produced by Kan Ren. 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 Kan Ren. The network helps show where Kan Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan Ren, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Product-Based Neural Networks for User Response Prediction Hit paper breakdown → | 2016 | 400 |
| 2 | 2020 | 114 | |
| 3 | 2017 | 112 | |
| 4 | 2019 | 66 | |
| 5 | 2017 | 48 | |
| 6 | 2016 | 33 | |
| 7 | 2021 | 29 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 18 | |
| 10 | 2019 | 17 | |
| 11 | Activation Maximization Generative Adversarial Nets | 2018 | 12 |
| 12 | 2020 | 12 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2009 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2010 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Kan Ren
Kan Ren is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research and Marketing, having authored 31 papers that have together received 941 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Auction Theory and Applications (4 papers), Reinforcement Learning in Robotics (4 papers), Video Analysis and Summarization (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Stock Market Forecasting Methods (3 papers) and Advanced Bandit Algorithms Research (3 papers). The work is most often cited by research in Information Systems (552 citations), Management Science and Operations Research (198 citations), Artificial Intelligence (500 citations), Computer Vision and Pattern Recognition (276 citations) and Marketing (83 citations). Kan Ren has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yong Yu, Weinan Zhang, Han Cai, Ying Wen, Jun Wang, Yanru Qu, Jun Wang, Lantao Yu, Xiuqiang He and Ruiming Tang. Their work appears in journals such as Applied Sciences, BMJ Open, Multimedia Tools and Applications, IEEE Transactions on Knowledge and Data Engineering 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.