Wanyun Cui

37 total papers · 871 total citations
14 papers, 397 citations indexed

About

Wanyun Cui is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Wanyun Cui has authored 14 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Wanyun Cui's work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (3 papers). Wanyun Cui is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (3 papers). Wanyun Cui collaborates with scholars based in China, United States and South Korea. Wanyun Cui's co-authors include Yanghua Xiao, Haixun Wang, Wei Wang, Wei Wang, Wei Wang, Seung-won Hwang, Zhenying He, Wei Wang, Xingran Chen and Guodong Feng and has published in prestigious journals such as PLoS ONE, Knowledge-Based Systems and International Joint Conference on Artificial Intelligence.

In The Last Decade

Wanyun Cui

12 papers receiving 389 citations

Author Peers

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

Author						Papers	Cites
Wanyun Cui	286	188	171	81	67	14	397
Steve Harenberg	247 0.9×	183 1.0×	249 1.5×	36 0.4×	41 0.6×	12	431
Christos Giatsidis	234 0.8×	105 0.6×	159 0.9×	41 0.5×	57 0.9×	11	357
Stephen Ranshous	247 0.9×	171 0.9×	244 1.4×	37 0.5×	37 0.6×	8	426
Huiming Qu	138 0.5×	194 1.0×	175 1.0×	46 0.6×	141 2.1×	14	387
Makoto Nakatsuji	129 0.5×	60 0.3×	241 1.4×	84 1.0×	135 2.0×	26	369
Dónal Doyle	274 1.0×	94 0.5×	169 1.0×	16 0.2×	46 0.7×	9	420
Arnau Prat-Pèrez	174 0.6×	168 0.9×	187 1.1×	52 0.6×	97 1.4×	15	389
Nikos Sarkas	107 0.4×	173 0.9×	170 1.0×	196 2.4×	124 1.9×	11	392
Shyhtsun Felix Wu	70 0.2×	157 0.8×	183 1.1×	60 0.7×	153 2.3×	22	341
Gabriela Jacques-Silva	126 0.4×	306 1.6×	147 0.9×	66 0.8×	140 2.1×	21	444

Countries citing papers authored by Wanyun Cui

Since Specialization

Citations

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

Fields of papers citing papers by Wanyun Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanyun Cui

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