Biao Li

26 total papers · 416 total citations
12 papers, 212 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 12 papers receiving a total of 212 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 and Singapore. Biao Li's co-authors include Peng Jiang, Chongming Gao, Shijun Li, Wenqiang Lei, Yuan Zhang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Kun Gai and Yuan Zhang and has published in prestigious journals such as ACM Transactions on Information Systems, Journal of Physics Conference Series and arXiv (Cornell University).

In The Last Decade

Biao Li

12 papers receiving 207 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Biao Li	157	127	74	54	19	12	212
Teng Xiao	175 1.1×	182 1.4×	65 0.9×	46 0.9×	25 1.3×	16	257
Chenxu Zhu	179 1.1×	150 1.2×	40 0.5×	73 1.4×	20 1.1×	16	234
Gabriel de Souza Pereira Moreira	181 1.2×	142 1.1×	38 0.5×	47 0.9×	14 0.7×	18	215
Fuyu Lv	148 0.9×	130 1.0×	33 0.4×	51 0.9×	24 1.3×	10	189
Felice Antonio Merra	147 0.9×	188 1.5×	41 0.6×	87 1.6×	25 1.3×	18	263
Aniruddh Nath	134 0.9×	175 1.4×	46 0.6×	69 1.3×	37 1.9×	11	270
Rocío Cañamares	161 1.0×	83 0.7×	117 1.6×	25 0.5×	12 0.6×	9	182
Jessica Rosati	122 0.8×	120 0.9×	56 0.8×	26 0.5×	14 0.7×	13	215
Kun Zhang	197 1.3×	169 1.3×	30 0.4×	47 0.9×	22 1.2×	9	257
Shaoyun Shi	132 0.8×	216 1.7×	31 0.4×	37 0.7×	15 0.8×	14	269

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

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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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