Wanyun Cui

873 total citations
14 papers, 398 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 398 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 Israel. Wanyun Cui's co-authors include Yanghua Xiao, Haixun Wang, Wei Wang, Wei Wang, Wei Wang, Guodong Feng, Xiyou Zhou, Seung-won Hwang, Xingran Chen and Wei Wang 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 390 citations

Peers

Wanyun Cui
Comparison fields: 5 of 33
  • Statistical and Nonlinear Physics 286
  • Computer Networks and Communications 189
  • Artificial Intelligence 172
  • Signal Processing 81
  • Information Systems 67
Replace Christos Giatsidis with:
Christos Giatsidis France
David Domínguez-Sal Spain
Albert Angel Canada
Arnau Prat-Pèrez Spain
Matthew J. Rattigan United States
Brigitte Boden Germany
Dong Wen Australia
Renchi Yang Hong Kong
Ali Pinar United States
Liutong Xu China
Christos Giatsidis France View profile →
Citations per field, relative to Wanyun Cui
Wanyun Cui · 1×
Citations per year, relative to Wanyun Cui
Wanyun Cui · 1×

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

14 of 14 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 2
5 2
6 3
7 13
8
KBQA: an online template based question answering system over freebase
15
9 6
10 1
11 194
12 3
13 154
14 4

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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