Yiding Liu

43 total papers · 1.1k total citations
24 papers, 652 citations indexed

About

Yiding Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yiding Liu has authored 24 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yiding Liu's work include Topic Modeling (9 papers), Recommender Systems and Techniques (7 papers) and Multimodal Machine Learning Applications (6 papers). Yiding Liu is often cited by papers focused on Topic Modeling (9 papers), Recommender Systems and Techniques (7 papers) and Multimodal Machine Learning Applications (6 papers). Yiding Liu collaborates with scholars based in China, Singapore and Hong Kong. Yiding Liu's co-authors include Gao Cong, Tuan-Anh Nguyen Pham, Quan Yuan, Shuaiqiang Wang, Dawei Yin, Chang Tang, Lixin Zou, Yulong Gu, Zhuoye Ding and Cheng Long and has published in prestigious journals such as Sensors, Frontiers in Psychology and Proceedings of the VLDB Endowment.

In The Last Decade

Yiding Liu

23 papers receiving 638 citations

Author Peers

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

Author						Papers	Cites
Yiding Liu	353	291	176	129	112	24	652
Wei Chen	271 0.8×	215 0.7×	237 1.3×	114 0.9×	76 0.7×	41	699
Anthony J.T. Lee	281 0.8×	200 0.7×	39 0.2×	99 0.8×	181 1.6×	33	618
Gabriel Pui Cheong Fung	121 0.3×	343 1.2×	46 0.3×	77 0.6×	93 0.8×	31	602
Bingqing Qu	237 0.7×	298 1.0×	301 1.7×	106 0.8×	99 0.9×	16	657
Jingtao Ding	338 1.0×	283 1.0×	211 1.2×	152 1.2×	46 0.4×	51	728
Wuman Luo	124 0.4×	256 0.9×	145 0.8×	77 0.6×	317 2.8×	17	579
Onur Küçüktunç	172 0.5×	228 0.8×	125 0.7×	133 1.0×	71 0.6×	20	698
Tuan-Anh Nguyen Pham	552 1.6×	242 0.8×	370 2.1×	125 1.0×	115 1.0×	20	776
Beidou Wang	434 1.2×	431 1.5×	89 0.5×	138 1.1×	55 0.5×	12	710
Yu Zhu	401 1.1×	375 1.3×	89 0.5×	132 1.0×	53 0.5×	15	626

Countries citing papers authored by Yiding Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yiding Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiding Liu

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