Minfen Shen

697 citations
51 papers · 503 · h-index 10

Impact in

Papers in

Minfen Shen

41 papers receiving 477 citations

Peers

Minfen Shen
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 177
  • Cognitive Neuroscience 168
  • Signal Processing 85
  • Human-Computer Interaction 24
  • Physical Therapy, Sports Therapy and Rehabilitation 18
Replace Saeid Sanei with:
Saeid Sanei United Kingdom
David Lee United States
Xingjun Wang China
Foad Ghaderi Iran
R. Dilmaghani United Kingdom
Yuxiang Xie China
Giorgio Roffo Italy
Антон Попов Ukraine
Christopher Sewell United States
Edilson Delgado‐Trejos Colombia
Minfen Shen relative to Saeid Sanei United Kingdom Saeid Sanei's profile →
Citations per field
00.5×3.7×
Saeid Sanei · 1×
Citations per year

Countries citing papers authored by Minfen Shen

Since Specialization
Citations

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

Fields of papers citing papers by Minfen Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012138
2 200170
3 200342
4 201034
5 200929
6 201225
7 201223
8
A METHOD FOR DIGITAL IMAGE WATERMARKING USING ICA
200319
9 201216
10 201010
11 20039
12 20028
13
The development of design directed engineering curriculum based on the CDIO framework
20066
14 20036
15 20096
16 20105
17 20065
18 20035
19 20034
20 20114

About Minfen Shen

Minfen Shen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Cognitive Neuroscience and Control and Systems Engineering, having authored 51 papers that have together received 503 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (15 papers), Neural Networks and Applications (11 papers), EEG and Brain-Computer Interfaces (10 papers), Image and Signal Denoising Methods (9 papers), Advanced Image Processing Techniques (7 papers), Machine Fault Diagnosis Techniques (6 papers), Neural dynamics and brain function (5 papers) and Ultrasound Imaging and Elastography (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (177 citations), Cognitive Neuroscience (168 citations), Signal Processing (85 citations), Human-Computer Interaction (24 citations) and Physical Therapy, Sports Therapy and Rehabilitation (18 citations). Minfen Shen has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Xiang Chen, Juan Cheng, Chunqi Chang, Xin‐Jun Zhang, Xianhui Li, Nitish V. Thakor, Jialiang Chen, Weichao Xu, Mahesan Niranjan and Qiong Zhang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Signal Processing, Clinical Neurophysiology, Science China Information Sciences and IEEE Journal of Biomedical and Health Informatics.

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