Datian Ye

59 papers receiving 494 citations

Peers

Datian Ye
Comparison fields: 5 of 104
  • Sensory Systems 64
  • Cognitive Neuroscience 184
  • Signal Processing 79
  • Speech and Hearing 27
  • Computer Vision and Pattern Recognition 55
Replace Y.J. Kingma with:
Y.J. Kingma Canada
Lonce Wyse Singapore
J. P. C. de Weerd Netherlands
R. W. Benson United States
Guangshu Hu China
Chang’an A. Zhan China
Jorge Mateo Spain
Pavel Sovka Czechia
Peter Husár Germany
Richard McKinley Switzerland
Datian Ye relative to Y.J. Kingma Canada Y.J. Kingma's profile →
Citations per field
00.5×4.9×
Y.J. Kingma · 1×
Citations per year

Countries citing papers authored by Datian Ye

Since Specialization
Citations

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

Fields of papers citing papers by Datian Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201185
2 200741
3 201137
4 200937
5 200933
6 201128
7 199924
8 199921
9 199717
10 200714
11 202213
12 200813
13 200212
14 201511
15 201210
16 20129
17 20059
18 20088
19 20098
20 20157

About Datian Ye

Datian Ye is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Biomedical Engineering, Signal Processing and Sensory Systems, having authored 67 papers that have together received 514 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (12 papers), Hearing, Cochlea, Tinnitus, Genetics (10 papers), Speech and Audio Processing (7 papers), Noise Effects and Management (6 papers), Neonatal and fetal brain pathology (6 papers), Image and Signal Denoising Methods (6 papers), Blind Source Separation Techniques (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Sensory Systems (64 citations), Cognitive Neuroscience (184 citations), Signal Processing (79 citations), Speech and Hearing (27 citations) and Computer Vision and Pattern Recognition (55 citations). Datian Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kehong Yuan, Weixiang Liu, Fan‐Gang Zeng, Ziyan Zhu, Qing Tang, Haiyan Ding, Quansheng Xu, Nitish V. Thakor, Xiaofeng Jia and Dandan Zhang. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Progress in Natural Science Materials International, Bio-Medical Materials and Engineering, The Journal of the Acoustical Society of America and International Journal for Numerical Methods in Biomedical Engineering.

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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