Xiance Si

1.3k total citations
14 papers, 151 citations indexed

About

Xiance Si is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Xiance Si has authored 14 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Information Systems and 3 papers in Computer Science Applications. Recurrent topics in Xiance Si's work include Topic Modeling (10 papers), Expert finding and Q&A systems (5 papers) and Natural Language Processing Techniques (5 papers). Xiance Si is often cited by papers focused on Topic Modeling (10 papers), Expert finding and Q&A systems (5 papers) and Natural Language Processing Techniques (5 papers). Xiance Si collaborates with scholars based in China, United States and Hong Kong. Xiance Si's co-authors include Edward Yi Chang, Maosong Sun, Zhicheng Zheng, Fangtao Li, Xiaoyan Zhu, Michael R. Lyu, Zhiyuan Liu, Irwin King, Baichuan Li and Zoltán Gyöngyi and has published in prestigious journals such as Proceedings of the VLDB Endowment, IEEE Intelligent Systems and Meeting of the Association for Computational Linguistics.

In The Last Decade

Xiance Si

13 papers receiving 141 citations

Peers

Xiance Si
Comparison fields: 5 of 22
  • Artificial Intelligence 123
  • Information Systems 77
  • Computer Science Applications 32
  • Management Science and Operations Research 15
  • Computer Vision and Pattern Recognition 11
Replace Piyush Arora with:
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Minh C. Phan Singapore
Anne-Marie Vercoustre Australia
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Citations per field, relative to Xiance Si
Xiance Si · 1×
Citations per year, relative to Xiance Si
Xiance Si · 1×

Countries citing papers authored by Xiance Si

Since Specialization
Citations

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

Fields of papers citing papers by Xiance Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiance Si

This figure shows the co-authorship network connecting the top 25 collaborators of Xiance Si. A scholar is included among the top collaborators of Xiance Si 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 Xiance Si. Xiance Si 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 1
2 5
3
Deceptive Answer Prediction with User Preference Graph
3
4 22
5 22
6
K2Q: Generating Natural Language Questions from Keywords with User Refinements
17
7 0
8 33
9
Question Identification on Twitter, Accepted by CIKM 2011
1
10
Explore the Structure of Social Tags by Subsumption Relations
10
11 3
12 22
13 6
14
Content-based and graph-based tag suggestion
6

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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