Jiaqi Mu
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Anomaly Detection Techniques and Applications
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- Landslides and related hazards
Papers in
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- Natural Language Processing Techniques 4
- Topic Modeling 4
- Sentiment Analysis and Opinion Mining 1
- Speech and dialogue systems 1
- Co-authors
- Pramod Viswanath (3 shared papers)Jie Wang (1 shared paper)Suma Bhat (2 shared papers)Jianqi Zhuang (1 shared paper)Jia Zheng (1 shared paper)Jiewei Zhan (1 shared paper)Shibao Wang (1 shared paper)Norman C. Beaulieu (1 shared paper)
- Journals
- IEEE Transactions on Communications (1 paper)Environmental Earth Sciences (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Jiaqi Mu
7 papers receiving 111 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 75
- Management, Monitoring, Policy and Law 24
- Computer Vision and Pattern Recognition 18
- General Engineering 1
- Atmospheric Science 11
Countries citing papers authored by Jiaqi Mu
This map shows the geographic impact of Jiaqi Mu'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 Jiaqi Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaqi Mu more than expected).
Fields of papers citing papers by Jiaqi Mu
This network shows the impact of papers produced by Jiaqi Mu. 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 Jiaqi Mu. The network helps show where Jiaqi Mu may publish in the future.
Co-authors
The 21 scholars most cited alongside Jiaqi Mu, 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 | All-but-the-Top: Simple and Effective Postprocessing for Word Representations | 2018 | 47 |
| 2 | 2022 | 28 | |
| 3 | 2015 | 13 | |
| 4 | 2024 | 11 | |
| 5 | 2015 | 10 | |
| 6 | 2017 | 9 | |
| 7 | 2018 | 3 |
About Jiaqi Mu
Jiaqi Mu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Mechanics of Materials, having authored 7 papers that have together received 121 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Landslides and related hazards (1 paper), Cryospheric studies and observations (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Speech and dialogue systems (1 paper), Sparse and Compressive Sensing Techniques (1 paper) and Wireless Communication Security Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (75 citations), Management, Monitoring, Policy and Law (24 citations), Computer Vision and Pattern Recognition (18 citations), General Engineering (1 citation) and Atmospheric Science (11 citations). Jiaqi Mu has collaborated with scholars based in United States and China. Frequent co-authors include Pramod Viswanath, Jie Wang, Suma Bhat, Jianqi Zhuang, Jia Zheng, Jiewei Zhan, Shibao Wang, Norman C. Beaulieu, Zheng Zhang and Chunxiao Jiang. Their work appears in journals such as IEEE Transactions on Communications, Environmental Earth Sciences and arXiv (Cornell University).
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.