Xiaoping Shen

30 papers receiving 318 citations

Peers

Xiaoping Shen
Comparison fields: 5 of 79
  • Applied Mathematics 86
  • Computer Vision and Pattern Recognition 106
  • Signal Processing 53
  • Mathematical Physics 26
  • Obstetrics and Gynecology 21
Replace Luigia Puccio with:
Luigia Puccio Italy
Jian‐ao Lian United States
R.G. Shenoy United States
Daniel Fontijne Netherlands
Richard C. Liu United States
Ajem Guido Janssen Finland
George C. Donovan United States
Georg Zimmermann Germany
Mourad Nachaoui Morocco
Xiaoping Shen relative to Luigia Puccio Italy Luigia Puccio's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoping Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoping Shen, 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 Xiaoping Shen Line = papers co-authored together Xiaoping Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200449
2 200932
3
A Ranked Subspace Learning Method for Gene Expression Data Classification
200729
4 201228
5 202026
6 202125
7
Kernel Density Estimation for An Anomaly Based Intrusion Detection System.
200623
8 199923
9 201816
10 200516
11 199910
12 20208
13 20077
14 20196
15 20076
16 20096
17
Support Vector Machine Classifier Based on Approximate Entropy Metric for Chatbot Text-based Communication
20175
18 20004
19 20204
20 20054

About Xiaoping Shen

Xiaoping Shen is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 31 papers that have together received 342 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (9 papers), Mathematical Analysis and Transform Methods (6 papers), Digital Filter Design and Implementation (4 papers), Face and Expression Recognition (3 papers), Neural Networks and Applications (3 papers), Seismic Imaging and Inversion Techniques (3 papers), Cognitive Radio Networks and Spectrum Sensing (2 papers) and Power Quality and Harmonics (2 papers). The work is most often cited by research in Applied Mathematics (86 citations), Computer Vision and Pattern Recognition (106 citations), Signal Processing (53 citations), Mathematical Physics (26 citations) and Obstetrics and Gynecology (21 citations). Xiaoping Shen has collaborated with scholars based in United States and China. Frequent co-authors include Gilbert G. Walter, Haibo He, Ahmed I. Zayed, Janusz A. Starzyk, Haibo He, G.G. Walter, Jenny Liu, Robert L. Ewing, Jia Li and Erik Blasch. Their work appears in journals such as Numerical Functional Analysis and Optimization, Journal of Fourier Analysis and Applications, Pregnancy Hypertension, International Journal of Electrical Power & Energy Systems and Endoscopic Ultrasound.

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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