Yanran Li

53 total papers · 1.9k total citations
24 papers, 303 citations indexed

About

Yanran Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Yanran Li has authored 24 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Social Psychology. Recurrent topics in Yanran Li's work include Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (7 papers). Yanran Li is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (7 papers). Yanran Li collaborates with scholars based in China, Hong Kong and United States. Yanran Li's co-authors include Wenjie Li, Sujian Li, Jianwei Cui, Bin Wang, Ziqiang Cao, Hui Su, Xiaoyu Shen, Shuzi Niu, Yang Zhao and Akiko Aizawa and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACS Biomaterials Science & Engineering and Food and Nutrition Bulletin.

In The Last Decade

Yanran Li

22 papers receiving 287 citations

Author Peers

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

Author						Papers	Cites
Yanran Li	226	42	29	28	25	24	303
Yunlong Liang	201 0.9×	28 0.7×	7 0.2×	14 0.5×	24 1.0×	14	256
Che-Wei Huang	176 0.8×	41 1.0×	35 1.2×	124 4.4×	6 0.2×	22	363
Ruosong Yang	131 0.6×	30 0.7×	10 0.3×	16 0.6×	3 0.1×	22	306
Yunfei Liu	155 0.7×	28 0.7×	20 0.7×	15 0.5×	8 0.3×	22	301
Wonkyu Park	20 0.1×	69 1.6×	68 2.3×	14 0.5×	12 0.5×	20	357
Chun-an Chan	249 1.1×	21 0.5×	6 0.2×	9 0.3×	43 1.7×	24	362
Sanae Fujita	223 1.0×	15 0.4×	7 0.2×	7 0.3×	49 2.0×	35	320
Fuqing Zhu	161 0.7×	53 1.3×	9 0.3×	7 0.3×	9 0.4×	17	243
Maryam Hasan	192 0.8×	7 0.2×	32 1.1×	52 1.9×	4 0.2×	18	340
Pengfei Gao	36 0.2×	19 0.5×	6 0.2×	57 2.0×	54 2.2×	30	230

Countries citing papers authored by Yanran Li

Since Specialization

Citations

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

Fields of papers citing papers by Yanran Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanran Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yanran Li. A scholar is included among the top collaborators of Yanran 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 Yanran Li. Yanran 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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