Xiaowei Yi

521 citations
32 papers · 282 · h-index 9

Impact in

Papers in

    • Advanced Steganography and Watermarking Techniques 15
    • Digital Media Forensic Detection 13
    • Chaos-based Image/Signal Encryption 7
    • Advanced Data Compression Techniques 4
    • Music and Audio Processing 10
    • Speech and Audio Processing 7

Xiaowei Yi

29 papers receiving 271 citations

Peers

Xiaowei Yi
Comparison fields: 5 of 67
  • Signal Processing 91
  • Computer Vision and Pattern Recognition 165
  • Dermatology 31
  • Artificial Intelligence 61
  • Biological Psychiatry 2
Replace Luiz Cláudio Navarro with:
Luiz Cláudio Navarro Brazil
Juliette Kahn France
Nilanjan Datta India
Andreas Westfeld Germany
Linna Zhou China
Masaaki Fujiyoshi Japan
Shahram Rasoolzadeh Germany
Koray Karabina Canada
James E. Gary United States
Eleonora Cagli Italy
Xiaowei Yi relative to Luiz Cláudio Navarro Brazil Luiz Cláudio Navarro's profile →
Citations per field
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Luiz Cláudio Navarro · 1×
Citations per year

Countries citing papers authored by Xiaowei Yi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202065
2 201945
3 202141
4 201824
5 201913
6 201912
7 201912
8 202010
9 20209
10 20058
11 20196
12 20205
13 20234
14 20104
15 20133
16 20223
17 20222
18 20212
19 20242
20 20222

About Xiaowei Yi

Xiaowei Yi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Oncology, having authored 32 papers that have together received 282 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (15 papers), Digital Media Forensic Detection (13 papers), Music and Audio Processing (10 papers), Speech and Audio Processing (7 papers), Chaos-based Image/Signal Encryption (7 papers), Speech Recognition and Synthesis (5 papers), Advanced Data Compression Techniques (4 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Signal Processing (91 citations), Computer Vision and Pattern Recognition (165 citations), Dermatology (31 citations), Artificial Intelligence (61 citations) and Biological Psychiatry (2 citations). Xiaowei Yi has collaborated with scholars based in China. Frequent co-authors include Xianfeng Zhao, Yuntao Wang, Kun Yang, Zhenyu Zhang, Haibo Yu, Zheng Zhao, Jiaqi Liu, Ke Tao, Xujie Wang and Yi Ma. Their work appears in journals such as Frontiers in Oncology, IEEE Signal Processing Letters, Multimedia Tools and Applications, International Journal of Applied Earth Observation and Geoinformation 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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