Xiaoyue Feng

1.8k citations
46 papers · 1.1k indexed · 1 hit paper · h-index 16
Topics
Topic Modeling (15 papers)Advanced Graph Neural Networks (10 papers)Text and Document Classification Technologies (6 papers)
Partner nations
ChinaItalyUnited States

In The Last Decade

Xiaoyue Feng

41 papers receiving 1.1k citations

Hit Papers

A content-based recommender system for computer science p...2018202620202023201850100150200250

Peers

Xiaoyue Feng
Comparison fields: 5 of 142
  • Artificial Intelligence 618
  • Information Systems 303
  • Computer Vision and Pattern Recognition 166
  • Molecular Biology 148
  • Computer Networks and Communications 82
Replace Xianghua Fu with:
Xianghua Fu China
Chris Drummond Canada
Antonella Guzzo Italy
Shu Zhao China
Alper Kürşat Uysal Türkiye
Francisco Charte Spain
Mohammed Alweshah Jordan
J. Anuradha India
Tansel Özyer Türkiye
Rabia Musheer Aziz India
Xiaoyue Feng relative to Xianghua Fu China Xianghua Fu's profile →
Citations per field
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Xianghua Fu · 1×
Citations per year

Countries citing papers authored by Xiaoyue Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyue Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyue Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyue Feng. A scholar is included among the top collaborators of Xiaoyue Feng 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 Xiaoyue Feng. Xiaoyue Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 6
6 2
7 20
8 1
9 4
10 12
11 2
12 2
13 36
14 2
15 43
16 16
17 70
18 24
19 203
20 14

About Xiaoyue Feng

Xiaoyue Feng is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Advanced Graph Neural Networks (10 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (618 citations), Information Systems (303 citations) and Computer Vision and Pattern Recognition (166 citations). Xiaoyue Feng has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Yanchun Liang, Renchu Guan, Dong Xu, Donghui Wang, Fausto Giunchiglia, Zhili Pei, Mingyang Jiang, Xiaojing Fan, Yu Xue and Lan Huang. Their work appears in journals such as Bioinformatics, Nature Methods and International Journal of Molecular Sciences.

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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