Biao Li

428 total citations
13 papers, 220 citations indexed

About

Biao Li is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Biao Li has authored 13 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 6 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Biao Li's work include Recommender Systems and Techniques (10 papers), Advanced Graph Neural Networks (5 papers) and Advanced Bandit Algorithms Research (5 papers). Biao Li is often cited by papers focused on Recommender Systems and Techniques (10 papers), Advanced Graph Neural Networks (5 papers) and Advanced Bandit Algorithms Research (5 papers). Biao Li collaborates with scholars based in China, Denmark and Singapore. Biao Li's co-authors include Peng Jiang, Chongming Gao, Wenqiang Lei, Shijun Li, Yuan Zhang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Kun Gai and Yuan Zhang and has published in prestigious journals such as Green Chemistry, ACM Transactions on Information Systems and Journal of Physics Conference Series.

In The Last Decade

Biao Li

12 papers receiving 214 citations

Peers

Biao Li
Teng Xiao China
Biao Li
Citations per year, relative to Biao Li Biao Li (= 1×) peers Teng Xiao

Countries citing papers authored by Biao Li

Since Specialization
Citations

This map shows the geographic impact of Biao Li'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 Biao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biao Li more than expected).

Fields of papers citing papers by Biao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Biao Li. 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 Biao Li. The network helps show where Biao Li may publish in the future.

Co-authorship network of co-authors of Biao Li

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

All Works

13 of 13 papers shown
2.
Shu, Hantao, et al.. (2024). Discrete Conditional Diffusion for Reranking in Recommendation. 161–169. 3 indexed citations
3.
Li, Biao, et al.. (2023). Disentangled Causal Embedding With Contrastive Learning For Recommender System. 406–410. 10 indexed citations
4.
Ma, Weizhi, et al.. (2023). Measuring Item Global Residual Value for Fair Recommendation. 269–278. 2 indexed citations
5.
Gao, Chongming, Jiawei Chen, Yuan Zhang, et al.. (2023). Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. arXiv (Cornell University). 238–248. 28 indexed citations
7.
Gao, Chongming, Shijun Li, Jiawei Chen, et al.. (2023). CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. ACM Transactions on Information Systems. 42(1). 1–27. 45 indexed citations
8.
9.
Gao, Chongming, Shijun Li, Wenqiang Lei, et al.. (2022). KuaiRec. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 540–550. 63 indexed citations
10.
Wang, Jiayin, Weizhi Ma, Jiayu Li, et al.. (2022). Make Fairness More Fair. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 1868–1877. 11 indexed citations
11.
Zhang, Yuan, et al.. (2022). Real-time Short Video Recommendation on Mobile Devices. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3103–3112. 33 indexed citations
12.
Zhang, Yankai, et al.. (2022). Design and Application of Intelligent Patrol System in Substation. Journal of Physics Conference Series. 2237(1). 12017–12017. 2 indexed citations
13.
Xin, Xin, Rui Wang, Jing Lü, et al.. (2018). Fine-Grained Deep Knowledge-Aware Network for News Recommendation with Self-Attention. 81–88. 12 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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