Xiaodong Feng

1.0k total citations
64 papers, 684 citations indexed

About

Xiaodong Feng is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaodong Feng has authored 64 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 19 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaodong Feng's work include Complex Network Analysis Techniques (17 papers), Advanced Graph Neural Networks (9 papers) and Face and Expression Recognition (7 papers). Xiaodong Feng is often cited by papers focused on Complex Network Analysis Techniques (17 papers), Advanced Graph Neural Networks (9 papers) and Face and Expression Recognition (7 papers). Xiaodong Feng collaborates with scholars based in China, United States and India. Xiaodong Feng's co-authors include Sen Wu, Guoyin Jiang, Zhiwei Tang, Zhen Liu, Taibo Chen, Gendao Li, Wenjun Zhou, Wenping Liu, Jie Xiong and Shu‐Jiang Tu and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Xiaodong Feng

60 papers receiving 664 citations

Peers

Xiaodong Feng
Comparison fields: 5 of 137
  • Artificial Intelligence 207
  • Statistical and Nonlinear Physics 120
  • Sociology and Political Science 106
  • Information Systems 84
  • Computer Vision and Pattern Recognition 64
Replace Jun-Ho Choi with:
Jun-Ho Choi South Korea
Sang Kyun Kim South Korea
Saba Bashir Pakistan
Lei Hou China
Lingling Zhang China
Thiago Christiano Silva Brazil
Yanzhong Dang China
Stuart M. Allen United Kingdom
Freimut Bodendorf Germany
Jun-Ho Choi South Korea View profile →
Citations per field, relative to Xiaodong Feng
Xiaodong Feng · 1×
Citations per year, relative to Xiaodong Feng
Xiaodong Feng · 1×

Countries citing papers authored by Xiaodong Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Feng. A scholar is included among the top collaborators of Xiaodong 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 Xiaodong Feng. Xiaodong 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
# Work Indexed citations
1 0
2 1
3 3
4 3
5 1
6 1
7 4
8 18
9 0
10 8
11 0
12 20
13 31
14 2
15 2
16 3
17 17
18 38
19 16
20 26

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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