Kan Ren

1.8k total citations · 1 hit paper
31 papers, 917 citations indexed

About

Kan Ren is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kan Ren has authored 31 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Kan Ren's work include Recommender Systems and Techniques (7 papers), Video Analysis and Summarization (4 papers) and Reinforcement Learning in Robotics (4 papers). Kan Ren is often cited by papers focused on Recommender Systems and Techniques (7 papers), Video Analysis and Summarization (4 papers) and Reinforcement Learning in Robotics (4 papers). Kan Ren collaborates with scholars based in China, United Kingdom and United States. Kan Ren's co-authors include Yong Yu, Weinan Zhang, Han Cai, Yanru Qu, Ying Wen, Jun Wang, Jun Wang, Lantao Yu, Xiuqiang He and Ruiming Tang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, BMJ Open and Applied Sciences.

In The Last Decade

Kan Ren

24 papers receiving 895 citations

Hit Papers

Product-Based Neural Networks for User Response Prediction 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Product-Based Neural Networks for User Response Prediction
    2016 392 citations Yanru Qu, Han Cai et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kan Ren China 12 543 494 269 193 90 31 917
Ou Jin China 9 467 0.9× 611 1.2× 225 0.8× 104 0.5× 111 1.2× 16 1.1k
Pipei Huang China 7 654 1.2× 549 1.1× 299 1.1× 120 0.6× 125 1.4× 10 952
Lan Nie United States 8 379 0.7× 361 0.7× 171 0.6× 132 0.7× 95 1.1× 12 702
Cihan Kaleli Türkiye 12 666 1.2× 457 0.9× 178 0.7× 103 0.5× 123 1.4× 29 854
Onno Zoeter Netherlands 11 365 0.7× 370 0.7× 123 0.5× 192 1.0× 117 1.3× 27 915
Leyu Lin China 23 877 1.6× 1.0k 2.0× 268 1.0× 269 1.4× 107 1.2× 60 1.4k
Hui Fang China 14 563 1.0× 466 0.9× 137 0.5× 107 0.6× 119 1.3× 45 928
Rahul G. Krishnan Canada 6 624 1.1× 734 1.5× 340 1.3× 167 0.9× 51 0.6× 20 1.1k
Liang Hu China 19 753 1.4× 619 1.3× 182 0.7× 153 0.8× 237 2.6× 69 1.1k

Countries citing papers authored by Kan Ren

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kan Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Kan Ren. A scholar is included among the top collaborators of Kan Ren 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 Kan Ren. Kan Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Zhang, Lei, Yuge Zhang, Kan Ren, Dongsheng Li, & Yuqing Yang. (2024). MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. 2931–2959. 3 indexed citations
3.
Warner‐Smith, Matthew, Kan Ren, Richard I. Walton, et al.. (2024). Protocol for evaluating the fitness for purpose of an artificial intelligence product for radiology reporting in the BreastScreen New South Wales breast cancer screening programme. BMJ Open. 14(5). e082350–e082350. 1 indexed citations
4.
Jing, Baoyu, et al.. (2024). Automated Contrastive Learning Strategy Search for Time Series. 4612–4620. 3 indexed citations
5.
Hu, Ke, et al.. (2024). Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization. 53945–53968. 1 indexed citations
6.
Fang, Yuchen, Kan Ren, Yifei Shen, et al.. (2023). Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7530–7538. 8 indexed citations
7.
Fang, Yuchen, Kan Ren, Weiqing Liu, et al.. (2023). Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. arXiv (Cornell University). 4003–4012. 2 indexed citations
8.
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10.
Ren, Kan, et al.. (2022). Bootstrapped Transformer for Offline Reinforcement Learning. 34748–34761.
11.
Fang, Yuchen, Weinan Zhang, Kan Ren, et al.. (2020). A Deep Recurrent Survival Model for Unbiased Ranking. 29–38. 11 indexed citations
12.
Dai, Xinyi, Haokun Chen, Weinan Zhang, et al.. (2020). Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. 179–188. 111 indexed citations
13.
Lu, Guansong, et al.. (2019). Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4432–4439. 17 indexed citations
14.
Ren, Kan, Jiarui Qin, Lei Zheng, et al.. (2019). Deep Recurrent Survival Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4798–4805. 65 indexed citations
15.
Zhou, Zhiming, Han Cai, Rong Shu, et al.. (2018). Activation Maximization Generative Adversarial Nets. International Conference on Learning Representations. 12 indexed citations
16.
Qu, Yanru, Han Cai, Kan Ren, et al.. (2016). Product-Based Neural Networks for User Response Prediction. 1149–1154. 392 indexed citations breakdown →
17.
Ren, Kan, et al.. (2016). User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. UCL Discovery (University College London). 679–688. 33 indexed citations
18.
Ren, Kan, Janko Ćalić, & Risto Sarvas. (2010). User study of the free-eye photo browsing interface. Surrey Research Insight Open Access (The University of Surrey). 1–4. 2 indexed citations
19.
Ren, Kan, Risto Sarvas, & Janko Ćalić. (2010). Interactive search and browsing interface for large-scale visual repositories. Multimedia Tools and Applications. 49(3). 513–528. 5 indexed citations
20.
Ren, Kan & Janko Ćalić. (2009). FreeEye. View. 757–760. 8 indexed citations

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.

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