Yanzhang He
- Signal Processing top 1%
- Speech and Audio Processing 26
- Music and Audio Processing 22
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis 36
- Natural Language Processing Techniques 10
- Topic Modeling 8
- Speech and dialogue systems 3
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- IoT and Edge/Fog Computing 3
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- Cloud Computing and Resource Management 3
- Co-authors
- Tara N. SainathShuo-Yiin ChangRohit PrabhavalkarRuoming PangYonghui WuEric Fosler‐LussierIan McGrawKanishka Rao
- Journals
- Proceedings of the IEEE (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Oxford University Research Archive (ORA) (University of Oxford) (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Yanzhang He
42 papers receiving 825 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Signal Processing 574
- Artificial Intelligence 829
- Computer Vision and Pattern Recognition 71
- Hardware and Architecture 19
- Human-Computer Interaction 11
Countries citing papers authored by Yanzhang He
This map shows the geographic impact of Yanzhang He'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 Yanzhang He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanzhang He more than expected).
Fields of papers citing papers by Yanzhang He
This network shows the impact of papers produced by Yanzhang He. 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 Yanzhang He. The network helps show where Yanzhang He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yanzhang He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 67 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 46 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 22 | |
| 13 | Streaming End-to-end Speech Recognition for Mobile Devicesbreakdown → | 2019 | 345 |
| 14 | 2017 | 53 | |
| 15 | Segmental Models with an Exploration of Acoustic and Lexical Grouping in Automatic Speech Recognition | 2015 | 1 |
| 16 | 2015 | 21 | |
| 17 | 2015 | 36 | |
| 18 | 2014 | 3 | |
| 19 | 2012 | 20 | |
| 20 | 2012 | 9 |
About Yanzhang He
Yanzhang He is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 936 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (26 papers), Music and Audio Processing (22 papers), Natural Language Processing Techniques (10 papers), Topic Modeling (8 papers), IoT and Edge/Fog Computing (3 papers), Speech and dialogue systems (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Signal Processing (574 citations), Artificial Intelligence (829 citations) and Computer Vision and Pattern Recognition (71 citations). Yanzhang He has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Tara N. Sainath, Shuo-Yiin Chang, Rohit Prabhavalkar, Ruoming Pang, Yonghui Wu, Eric Fosler‐Lussier, Ian McGraw, Kanishka Rao, Bo Li and Trevor Strohman. Their work appears in journals such as Proceedings of the IEEE, IEEE/ACM Transactions on Audio Speech and Language Processing and Oxford University Research Archive (ORA) (University of Oxford).
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.