Jocelyn Huang

550 total citations
4 papers, 167 citations indexed

About

Jocelyn Huang is a scholar working on Signal Processing, Artificial Intelligence and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jocelyn Huang has authored 4 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Signal Processing, 3 papers in Artificial Intelligence and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Jocelyn Huang's work include Speech Recognition and Synthesis (3 papers), Music and Audio Processing (3 papers) and Speech and Audio Processing (2 papers). Jocelyn Huang is often cited by papers focused on Speech Recognition and Synthesis (3 papers), Music and Audio Processing (3 papers) and Speech and Audio Processing (2 papers). Jocelyn Huang collaborates with scholars based in United States. Jocelyn Huang's co-authors include Boris Ginsburg, Jason Li, R. Bret Leary, Vitaly Lavrukhin, Samuel Kriman, Stanislav Beliaev, Oleksii Kuchaiev, Yang Zhang, Ning Cheng and Jing Xiao and has published in prestigious journals such as Journal of Pediatric Urology.

In The Last Decade

Jocelyn Huang

3 papers receiving 155 citations

Peers

Jocelyn Huang

AI

SP

CVPR

MB

EEE

Stanislav Beliaev United States

Samuel Kriman United States

Yifan Peng United States

Christian Puhrsch United States

Feilong Bao China

João Monteiro Canada

Adrian Łańcucki Poland

Ruijie Tao Singapore

Joel Pinto Switzerland

Stanislav Beliaev United States

Jocelyn Huang

132 ×0.9

AI

98 ×1.0

SP

22 ×1.0

CVPR

8 ×1.0

MB

9 ×1.1

EEE

Citations per year, relative to Jocelyn Huang Jocelyn Huang (= 1×) peers Stanislav Beliaev

Countries citing papers authored by Jocelyn Huang

Since Specialization

Citations

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

Fields of papers citing papers by Jocelyn Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jocelyn Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Jocelyn Huang. A scholar is included among the top collaborators of Jocelyn Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jocelyn Huang. Jocelyn Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Farkouh, Ala’a, et al.. (2024). Upper tract dilation is an independent risk factor for febrile UTI in children with primary vesicoureteral reflux. Journal of Pediatric Urology. 21(1). 197–203.

2.

Huang, Jocelyn, et al.. (2023). ACE-VC: Adaptive and Controllable Voice Conversion Using Explicitly Disentangled Self-Supervised Speech Representations. 8 indexed citations

3.

Luo, Jian, Jianzong Wang, Ning Cheng, et al.. (2021). Cross-Language Transfer Learning and Domain Adaptation for End-to-End Automatic Speech Recognition. 1–6. 10 indexed citations

4.

Kriman, Samuel, Stanislav Beliaev, Boris Ginsburg, et al.. (2020). Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions. 6124–6128. 149 indexed citations

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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