Xiaofei Xu

3.8k citations
95 papers · 2.2k indexed · 1 hit paper · h-index 22
Topics
Topic Modeling (14 papers)Advanced Text Analysis Techniques (10 papers)Sentiment Analysis and Opinion Mining (10 papers)
Journals
SHILAP Revista de lepidopterologíaThe British Journal of PsychiatryExpert Systems with Applications
Partner nations
ChinaAustraliaHong Kong

In The Last Decade

Xiaofei Xu

88 papers receiving 2.1k citations

Hit Papers

Discovering cluster-based local outliers20032026201020182003200400600

Peers

Xiaofei Xu
Comparison fields: 5 of 127
  • Artificial Intelligence 1.4k
  • Computer Networks and Communications 480
  • Computer Vision and Pattern Recognition 338
  • Information Systems 309
  • Signal Processing 264
Replace Kenji Yamanishi with:
Kenji Yamanishi Japan
Emmanuel Müller Germany
Hiroyuki Kitagawa Japan
Ira Assent Denmark
Ye Yuan China
Danilo Pelusi Italy
Bo Zong United States
Ivan Zelinka Czechia
Hadi Sadoghi Yazdi Iran
Minnan Luo China
Xiaofei Xu relative to Kenji Yamanishi Japan Kenji Yamanishi's profile →
Citations per field
00.5×
Kenji Yamanishi · 1×
Citations per year

Countries citing papers authored by Xiaofei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofei Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Xu. A scholar is included among the top collaborators of Xiaofei Xu 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 Xiaofei Xu. Xiaofei Xu 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 2
2 2
3 0
4 1
5 0
6 1
7 2
8 71
9 1
10 26
11 1
12 0
13 2
14 1
15 2
16
Pattern Based Code Generation Method for the Business Component
1
17 0
18
K-means Clustering - A Survey.
4
19
On the Structure, Function and Development of Metacognition
1
20 49

About Xiaofei Xu

Xiaofei Xu is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 95 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Advanced Text Analysis Techniques (10 papers) and Sentiment Analysis and Opinion Mining (10 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Signal Processing (264 citations) and Computer Networks and Communications (480 citations). Xiaofei Xu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Shengchun Deng, Zengyou He, Yunming Ye, Xiaojun Chen, Joshua Zhexue Huang, Bowen Zhang, Xutao Li, Zhexue Huang, Zhongjie Wang and Min Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, The British Journal of Psychiatry and Expert Systems with Applications.

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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