Jonathan Shen

3.8k citations
7 papers · 2.1k · 1 hit paper · h-index 6

Impact in

Papers in

Journals
Interspeech (USB) (3 papers)Speech prosody (1 paper)IEEE International Conference on Acoustics Speech and Signal Processing (2 papers)neural information processing systems (1 paper)
Partner nations
United States

In The Last Decade

Jonathan Shen

7 papers receiving 1.9k citations

Jonathan Shen's Hit Papers

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions 2018 · 1.8k citations
1.8k0+2+5Years since publication5001k1.5k

Peers

Jonathan Shen
Comparison fields: 5 of 63
  • Artificial Intelligence 1.7k
  • Signal Processing 226
  • Computer Vision and Pattern Recognition 143
  • Human-Computer Interaction 24
  • General Dentistry 1
Replace RJ Skerry-Ryan with:
RJ Skerry-Ryan United States
Vincent Wan United Kingdom
Rob Clark United States
Tom Ko China
Christian Fuegen United States
Eduardo Lleida Spain
Petr Motlíček Switzerland
Fileno A. Alleva United States
Akinobu Lee Japan
Alexander Gruenstein United States
Jonathan Shen relative to RJ Skerry-Ryan United States RJ Skerry-Ryan's profile →
Citations per field
00.5×1.5×2.2×
RJ Skerry-Ryan · 1×
Citations per year

Countries citing papers authored by Jonathan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
Hit paper breakdown →
20181792
2
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
2018122
3 202156
4 202150
5 202148
6 20227
7 20202

About Jonathan Shen

Jonathan Shen is a scholar working on Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 2.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (7 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Signal Processing (226 citations), Computer Vision and Pattern Recognition (143 citations), Human-Computer Interaction (24 citations) and General Dentistry (1 citation). Jonathan Shen has collaborated with scholars based in United States. Frequent co-authors include Yonghui Wu, Yu Zhang, Ron J. Weiss, Ruoming Pang, Zhifeng Chen, Mike Schuster, Navdeep Jaitly, Rif A. Saurous, Zongheng Yang and Yuxuan Wang. Their work appears in journals such as Interspeech (USB), Speech prosody, IEEE International Conference on Acoustics Speech and Signal Processing and neural information processing systems.

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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