Jiaji Huang
- Artificial Intelligence top 10%
- Natural Language Processing Techniques 8
- Topic Modeling 7
- Speech and dialogue systems 3
- Speech Recognition and Synthesis 3
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- Face and Expression Recognition 5
- Statistics and Probability top 10%
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- Sparse and Compressive Sensing Techniques 3
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- Advanced MRI Techniques and Applications 3
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- Speech and Audio Processing 2
- Co-authors
- Kenneth ChurchRebecca WillettYao XieXingyu CaiYuchen BianJiahong YuanQiang QiuRobert Calderbank
- Journals
- IEEE Transactions on Signal Processing (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)SIAM Journal on Imaging Sciences (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Jiaji Huang
24 papers receiving 308 citations
Peers
Comparison fields: 5 of 77
- Acoustics and Ultrasonics 6
- Artificial Intelligence 191
- Computer Vision and Pattern Recognition 78
- Statistics, Probability and Uncertainty 26
- Statistics and Probability 28
Countries citing papers authored by Jiaji Huang
This map shows the geographic impact of Jiaji 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 Jiaji Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaji Huang more than expected).
Fields of papers citing papers by Jiaji Huang
This network shows the impact of papers produced by Jiaji 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 Jiaji Huang. The network helps show where Jiaji Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiaji Huang, 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 | 4 | |
| 2 | 2023 | 5 | |
| 3 | Isotropy in the Contextual Embedding Space: Clusters and Manifolds | 2021 | 29 |
| 4 | 2021 | 20 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 68 | |
| 8 | 2020 | 4 | |
| 9 | 2019 | 3 | |
| 10 | Topic compositional neural language model | 2018 | 16 |
| 11 | 2018 | 19 | |
| 12 | 2018 | 9 | |
| 13 | Discriminative Robust transformation learning | 2015 | 3 |
| 14 | 2015 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 2 | |
| 18 | 2015 | 3 | |
| 19 | 2012 | 81 | |
| 20 | [Comparison between volar and dorsal plate positions in the treatment of unstable fracture of distal radius]. | 2008 | 1 |
About Jiaji Huang
Jiaji Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 24 papers that have together received 320 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers), Face and Expression Recognition (5 papers), Sparse and Compressive Sensing Techniques (3 papers), Speech and dialogue systems (3 papers), Advanced MRI Techniques and Applications (3 papers), Speech Recognition and Synthesis (3 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (6 citations), Artificial Intelligence (191 citations) and Computer Vision and Pattern Recognition (78 citations). Jiaji Huang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Kenneth Church, Rebecca Willett, Yao Xie, Xingyu Cai, Yuchen Bian, Jiahong Yuan, Qiang Qiu, Robert Calderbank, Guillermo Sapiro and Wei Ping. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Journal of Selected Topics in Signal Processing and SIAM Journal on Imaging Sciences.
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.