Xiaohui Zhang
- Cancer Research top 10%
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- Air Quality and Health Impacts 4
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- Genomics and Phylogenetic Studies 3
- Pollution top 10%
- Genetics top 10%
- Evolution and Genetic Dynamics 4
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- Speech Recognition and Synthesis 6
- Natural Language Processing Techniques 4
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- Music and Audio Processing 5
- Speech and Audio Processing 3
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- Atmospheric chemistry and aerosols 4
- Co-authors
- Sihai YangDacheng TianJu HuangGang LiuAvrum SpiraJian‐Qun ChenMarc E. LenburgLaurence D. Hurst
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Environmental Science & Technology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaohui Zhang
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 138
- Cancer Research 301
- Health, Toxicology and Mutagenesis 159
- Molecular Biology 641
- Pollution 95
- Genetics 230
Countries citing papers authored by Xiaohui Zhang
This map shows the geographic impact of Xiaohui Zhang'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 Xiaohui Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Zhang more than expected).
Fields of papers citing papers by Xiaohui Zhang
This network shows the impact of papers produced by Xiaohui Zhang. 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 Xiaohui Zhang. The network helps show where Xiaohui Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaohui Zhang, 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 | 3 | |
| 2 | 2022 | 10 | |
| 3 | Multilingual Graphemic Hybrid ASR with Massive Data Augmentation. | 2020 | 5 |
| 4 | 2020 | 12 | |
| 5 | 2019 | 76 | |
| 6 | 2019 | 20 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 24 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 9 | |
| 11 | 2018 | 102 | |
| 12 | 2017 | 2 | |
| 13 | 2016 | 5 | |
| 14 | 2015 | 48 | |
| 15 | 2015 | 130 | |
| 16 | 2015 | 16 | |
| 17 | 2014 | 12 | |
| 18 | 2014 | 4 | |
| 19 | 2012 | 20 | |
| 20 | 2011 | 49 |
About Xiaohui Zhang
Xiaohui Zhang is a scholar working on Signal Processing, Health, Toxicology and Mutagenesis and Transportation, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (6 papers), Music and Audio Processing (5 papers), Air Quality and Health Impacts (4 papers), Natural Language Processing Techniques (4 papers), Atmospheric chemistry and aerosols (4 papers), Evolution and Genetic Dynamics (4 papers), Speech and Audio Processing (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Cancer Research (301 citations), Health, Toxicology and Mutagenesis (159 citations) and Molecular Biology (641 citations). Xiaohui Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sihai Yang, Dacheng Tian, Ju Huang, Gang Liu, Avrum Spira, Jian‐Qun Chen, Marc E. Lenburg, Laurence D. Hurst, Adam M Gustafson and Jerome S. Brody. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Environmental Science & Technology.
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.