Bilei Zhu

574 citations
26 papers · 334 · h-index 10

Impact in

Papers in

Bilei Zhu

25 papers receiving 313 citations

Peers

Bilei Zhu
Comparison fields: 5 of 61
  • Signal Processing 156
  • Music 17
  • Computer Vision and Pattern Recognition 86
  • Civil and Structural Engineering 72
  • Cardiology and Cardiovascular Medicine 56
Replace Y. V. Srinivasa Murthy with:
Y. V. Srinivasa Murthy India
P. Dhanalakshmi India
Michael Pitz Germany
Yunqiu Xu China
Fei Yuan China
Arman Kheirati Roonizi Iran
Jonathan Dennis Singapore
Md Shofiqul Islam Bangladesh
Yijing Chu Hong Kong
Mahesh S. Chavan India
Bilei Zhu relative to Y. V. Srinivasa Murthy India Y. V. Srinivasa Murthy's profile →
Citations per field
00.5×10×14.4×
Y. V. Srinivasa Murthy · 1×
Citations per year

Countries citing papers authored by Bilei Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Bilei Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200668
2 201567
3 201338
4 201023
5 202321
6 202221
7 201516
8 202216
9 202114
10 20229
11 20195
12 20175
13 20154
14 20243
15 20213
16 20213
17 20073
18 20223
19 20233
20 20152

About Bilei Zhu

Bilei Zhu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Music and Civil and Structural Engineering, having authored 26 papers that have together received 334 indexed citations. Recurring topics across this work include Music and Audio Processing (22 papers), Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (7 papers), Music Technology and Sound Studies (7 papers), Diverse Musicological Studies (3 papers), Animal Vocal Communication and Behavior (2 papers), Hearing Loss and Rehabilitation (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Signal Processing (156 citations), Music (17 citations), Computer Vision and Pattern Recognition (86 citations), Civil and Structural Engineering (72 citations) and Cardiology and Cardiovascular Medicine (56 citations). Bilei Zhu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Chunxiang Li, Wei Li, Xiangyang Xue, Julian Koenig, Xingjian Du, Robert J. Ellis, Ye Wang, Julian F. Thayer, Zejun Ma and Ruijiang Li. Their work appears in journals such as Physiological Measurement, Neural Networks, Structural Control and Health Monitoring, IEEE Transactions on Audio Speech and Language Processing and Journal of Sound and Vibration.

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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