Xiaofei Li

1.4k citations
46 papers · 775 · h-index 16

Impact in

Papers in

Xiaofei Li

39 papers receiving 751 citations

Peers

Xiaofei Li
Comparison fields: 5 of 60
  • Signal Processing 596
  • Computational Mechanics 201
  • Artificial Intelligence 276
  • Computer Vision and Pattern Recognition 137
  • Industrial and Manufacturing Engineering 61
Replace Takanobu Nishiura with:
Takanobu Nishiura Japan
Jean-Marc Valin Canada
Andong Li China
Nasser Mohammadiha Sweden
Changchun Bao China
Hong-Goo Kang South Korea
Alessio Brutti Italy
Yoko Sasaki Japan
Yusuke Hioka Japan
Romain Serizel France
Xiaofei Li relative to Takanobu Nishiura Japan Takanobu Nishiura's profile →
Citations per field
00.5×10.2×
Takanobu Nishiura · 1×
Citations per year

Countries citing papers authored by Xiaofei Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021135
2 201771
3 201861
4 201639
5 201638
6 201937
7 201732
8 201926
9 201225
10 202124
11 202424
12 201918
13 202118
14 202416
15 202316
16 202015
17 202114
18 202214
19 202214
20 201212

About Xiaofei Li

Xiaofei Li is a scholar working on Signal Processing, Computational Mechanics, Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 46 papers that have together received 775 indexed citations. Recurring topics across this work include Speech and Audio Processing (44 papers), Music and Audio Processing (21 papers), Advanced Adaptive Filtering Techniques (18 papers), Speech Recognition and Synthesis (13 papers), Indoor and Outdoor Localization Technologies (7 papers), Hearing Loss and Rehabilitation (6 papers), Blind Source Separation Techniques (4 papers) and Underwater Acoustics Research (3 papers). The work is most often cited by research in Signal Processing (596 citations), Computational Mechanics (201 citations), Artificial Intelligence (276 citations), Computer Vision and Pattern Recognition (137 citations) and Industrial and Manufacturing Engineering (61 citations). Xiaofei Li has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Radu Horaud, Hong Liu, Xiang Hao, Xiangdong Su, Bing Yang, Laurent Girin, Israel D. Gebru, Silèye Ba, Hong Liu and Haijian Zhang. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, CAAI Transactions on Intelligence Technology, IEEE Signal Processing Letters, IEEE Journal of Selected Topics in Signal Processing and IEEE Transactions on Cybernetics.

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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