Xinmin Tao

972 total citations
40 papers, 750 citations indexed

About

Xinmin Tao is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xinmin Tao has authored 40 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 16 papers in Control and Systems Engineering and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Xinmin Tao's work include Imbalanced Data Classification Techniques (12 papers), Machine Fault Diagnosis Techniques (9 papers) and Electricity Theft Detection Techniques (8 papers). Xinmin Tao is often cited by papers focused on Imbalanced Data Classification Techniques (12 papers), Machine Fault Diagnosis Techniques (9 papers) and Electricity Theft Detection Techniques (8 papers). Xinmin Tao collaborates with scholars based in China and United States. Xinmin Tao's co-authors include Rui Liu, Wenjie Guo, Junrong Zou, Chao Ren, Qing He, Qing Li, Chenxi Li, Xiaohan Zhang, Qing Li and Wei Chen and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neural Networks.

In The Last Decade

Xinmin Tao

38 papers receiving 729 citations

Peers

Xinmin Tao
Comparison fields: 5 of 93
  • Artificial Intelligence 501
  • Electrical and Electronic Engineering 169
  • Control and Systems Engineering 159
  • Computer Vision and Pattern Recognition 131
  • Mechanical Engineering 88
Replace Wenjie Guo with:
Wenjie Guo China
Enislay Ramentol Germany
Junrong Zou China
Xibei Yang China
Chin-Chin Lin Taiwan
Fulufhelo V. Nelwamondo South Africa
Samad Nejatian Iran
Mohd Shareduwan Mohd Kasihmuddin Malaysia
Mehreen Saeed Pakistan
Talari Ganesh India
Wenjie Guo China View profile →
Citations per field, relative to Xinmin Tao
Xinmin Tao · 1×
Citations per year, relative to Xinmin Tao
Xinmin Tao · 1×

Countries citing papers authored by Xinmin Tao

Since Specialization
Citations

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

Fields of papers citing papers by Xinmin Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinmin Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Xinmin Tao. A scholar is included among the top collaborators of Xinmin Tao 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 Xinmin Tao. Xinmin Tao 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 4
4 35
5 45
6 57
7 33
8 50
9 49
10 24
11
The SVM Classification Algorithm Based on Semi-Supervised Gauss Mixture Model Kernel
3
12
SVM classifier for unbalanced data based on spectrum cluster-based under-sampling approaches
2
13
The SVM classifier for unbalanced data based on combination of RU-Undersample and SMOTE
2
14
Bearings fault detection based on semi-supervised SVM Laplacian regularization
1
15
Bearings fault detection based on AR self-correlation entropy
0
16
Image denoising algorithm based on Contourlet transform
1
17
BEARING FAULT DETECTION BASED ON RVM USING PHASE SPACE
2
18 15
19 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.

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