Xupeng Wang

1.0k citations
77 papers · 790 · h-index 15

Impact in

    • Advanced Malware Detection Techniques
    • Adversarial Robustness in Machine Learning
    • Metaheuristic Optimization Algorithms Research
    • Anomaly Detection Techniques and Applications

Papers in

    • Adversarial Robustness in Machine Learning 20
    • Anomaly Detection Techniques and Applications 10
    • Text and Document Classification Technologies 4
    • Advanced Neural Network Applications 8
    • Human Pose and Action Recognition 8
    • Face recognition and analysis 6
    • Video Surveillance and Tracking Methods 5

Xupeng Wang

64 papers receiving 776 citations

Peers

Xupeng Wang
Comparison fields: 5 of 118
  • Signal Processing 76
  • Artificial Intelligence 213
  • Computer Vision and Pattern Recognition 127
  • Pollution 66
  • Spectroscopy 89
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Citations per field
00.5×4.2×
Wu Zhou · 1×
Citations per year

Countries citing papers authored by Xupeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xupeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xupeng Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xupeng Wang Line = papers co-authored together Xupeng Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012103
2 201988
3 201267
4 201749
5 202143
6 202235
7 202232
8 202232
9 201626
10 202225
11 201923
12 202223
13 201723
14 202118
15 202014
16 201714
17 202014
18 202010
19 202010
20 20228

About Xupeng Wang

Xupeng Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computational Mechanics and Computer Networks and Communications, having authored 77 papers that have together received 790 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (20 papers), Anomaly Detection Techniques and Applications (10 papers), Advanced Neural Network Applications (8 papers), Human Pose and Action Recognition (8 papers), 3D Shape Modeling and Analysis (7 papers), Face recognition and analysis (6 papers), Video Surveillance and Tracking Methods (5 papers) and Text and Document Classification Technologies (4 papers). The work is most often cited by research in Signal Processing (76 citations), Artificial Intelligence (213 citations), Computer Vision and Pattern Recognition (127 citations), Pollution (66 citations) and Spectroscopy (89 citations). Xupeng Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Ferdous Sohel, Gang Hu, Wei Huang, Yan Qian, Linghai Xie, Zhiqiang Gao, Minmin Cai, Hang Lei, Pei Ying Ong and Chunjie Li. Their work appears in journals such as IEEE Access, Advanced Science, Pattern Recognition, Mathematics and Computers in Simulation and Applied Sciences.

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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