Xiaojun Wu

1.2k total citations
105 papers, 794 citations indexed

About

Xiaojun Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Xiaojun Wu has authored 105 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 23 papers in Computer Networks and Communications and 22 papers in Artificial Intelligence. Recurrent topics in Xiaojun Wu's work include Speech and Audio Processing (8 papers), Video Surveillance and Tracking Methods (8 papers) and Wireless Communication Networks Research (8 papers). Xiaojun Wu is often cited by papers focused on Speech and Audio Processing (8 papers), Video Surveillance and Tracking Methods (8 papers) and Wireless Communication Networks Research (8 papers). Xiaojun Wu collaborates with scholars based in China, United States and Singapore. Xiaojun Wu's co-authors include Yumei Zhang, Shigang Liu, Xia Wu, Yu Zhang, Xili Wang, Honghong Yang, Lu Zhang, Gang Lü, Xiaohong Hou and Mengqi Hu and has published in prestigious journals such as Scientific Reports, Carbon and Expert Systems with Applications.

In The Last Decade

Xiaojun Wu

90 papers receiving 773 citations

Peers

Xiaojun Wu
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 286
  • Cognitive Neuroscience 134
  • Artificial Intelligence 132
  • Electrical and Electronic Engineering 112
  • Media Technology 108
Replace Ali A. Pouyan with:
Ali A. Pouyan Iran
Muhammad Uzair Pakistan
Zheng Guan China
Antonio Bandera Spain
César Torres-Huitzil Mexico
Wen-Chung Kao Taiwan
Bing Zhou China
Risanuri Hidayat Indonesia
Gunther Heidemann Germany
Ali A. Pouyan Iran View profile →
Citations per field, relative to Xiaojun Wu
Xiaojun Wu · 1×
Citations per year, relative to Xiaojun Wu
Xiaojun Wu · 1×

Countries citing papers authored by Xiaojun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Wu. A scholar is included among the top collaborators of Xiaojun Wu 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 Xiaojun Wu. Xiaojun Wu 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 0
3 1
4 0
5 2
6 3
7 6
8 4
9 3
10 1
11 7
12 2
13
MedFroDetect: Medicare Fraud Detection with Extremely Imbalanced Class Distributions
5
14 7
15 2
16 43
17 11
18
Image fusion combined with NMF and new contourlet transform
1
19
Design and realization of monitoring system for temperature and humidity based on can-bus and Ethernet
1
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026