Pengwei Xie

3.3k total citations
20 papers, 224 citations indexed

About

Pengwei Xie is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Pengwei Xie has authored 20 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Control and Systems Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Pengwei Xie's work include Robot Manipulation and Learning (9 papers), ECG Monitoring and Analysis (3 papers) and Human Pose and Action Recognition (3 papers). Pengwei Xie is often cited by papers focused on Robot Manipulation and Learning (9 papers), ECG Monitoring and Analysis (3 papers) and Human Pose and Action Recognition (3 papers). Pengwei Xie collaborates with scholars based in China, United States and Japan. Pengwei Xie's co-authors include Guijin Wang, Jing‐Hao Xue, Guodong Zhang, Huazhong Yang, Ming Chen, Ping Zhang, Tingting Lv, Lin Mu, Ming Dong and Hongchao Yin and has published in prestigious journals such as IEEE Access, Fuel and Sensors.

In The Last Decade

Pengwei Xie

19 papers receiving 216 citations

Peers

Pengwei Xie
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 93
  • Biomedical Engineering 71
  • Cardiology and Cardiovascular Medicine 56
  • Cognitive Neuroscience 40
  • Control and Systems Engineering 29
Replace Nima Fazeli with:
Nima Fazeli United States
M. Ganesan India
Shubhojeet Chatterjee India
Jianyong Yang China
Fei Qian Japan
Álvaro Huerta Herráiz Spain
Kaïs Ouni Tunisia
Özer Can Devecioğlu Finland
Marc Hesse Germany
S. Poornachandra India
Nima Fazeli United States View profile →
Citations per field, relative to Pengwei Xie
Pengwei Xie · 1×
Citations per year, relative to Pengwei Xie
Pengwei Xie · 1×

Countries citing papers authored by Pengwei Xie

Since Specialization
Citations

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

Fields of papers citing papers by Pengwei Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengwei Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Pengwei Xie. A scholar is included among the top collaborators of Pengwei Xie 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 Pengwei Xie. Pengwei Xie 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 1
2 1
3 0
4 2
5 4
6 2
7 5
8 3
9 18
10 2
11 35
12 78
13 2
14 1
15 4
16 1
17 7
18 28
19 23
20 7

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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