Fei Xia
Impact in
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
Papers in
-
- Topic Modeling 59
- Natural Language Processing Techniques 58
- Speech and dialogue systems 12
- Algorithms and Data Compression 9
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- Multimodal Machine Learning Applications 18
- Co-authors
- Martha Palmer (11 shared papers)Nianwen Xue (4 shared papers)Fu-Dong Chiou (2 shared papers)Yong Dou (29 shared papers)Brian Ichter (4 shared papers)Wei Wu (7 shared papers)Yi Lü (7 shared papers)Jianping Qi (6 shared papers)
- Journals
- Language Resources and Evaluation (10 papers)Journal of Energy Storage (3 papers)IEEE Robotics and Automation Letters (2 papers)Journal of Materials Chemistry B (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fei Xia
219 papers receiving 4.7k citations
Fei Xia's Hit Papers
Peers
Comparison fields: 5 of 185
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 1.2k
- Pharmaceutical Science 305
- Automotive Engineering 226
- Media Technology 162
Countries citing papers authored by Fei Xia
This map shows the geographic impact of Fei Xia'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 Fei Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Xia more than expected).
Fields of papers citing papers by Fei Xia
This network shows the impact of papers produced by Fei Xia. 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 Fei Xia. The network helps show where Fei Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 233 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Penn Chinese TreeBank: Phrase structure annotation of a large corpus Hit paper breakdown → | 2005 | 488 |
| 2 | Code as Policies: Language Model Programs for Embodied Control Hit paper breakdown → | 2023 | 329 |
| 3 | 2016 | 173 | |
| 4 | 2020 | 153 | |
| 5 | 2021 | 116 | |
| 6 | 2023 | 110 | |
| 7 | 2015 | 107 | |
| 8 | 2000 | 102 | |
| 9 | 2021 | 102 | |
| 10 | 2017 | 99 | |
| 11 | 2023 | 90 | |
| 12 | 2022 | 81 | |
| 13 | 2001 | 78 | |
| 14 | 2017 | 71 | |
| 15 | 2017 | 69 | |
| 16 | 2017 | 68 | |
| 17 | 2021 | 67 | |
| 18 | 2012 | 66 | |
| 19 | The Part-Of-Speech Tagging Guidelines for the Penn Chinese Treebank (3.0) | 2000 | 66 |
| 20 | 2016 | 63 |
About Fei Xia
Fei Xia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 233 papers that have together received 5.0k indexed citations. Recurring topics across this work include Topic Modeling (59 papers), Natural Language Processing Techniques (58 papers), Multimodal Machine Learning Applications (18 papers), Speech and dialogue systems (12 papers), Robot Manipulation and Learning (12 papers), Genomics and Phylogenetic Studies (11 papers), Robotics and Sensor-Based Localization (10 papers) and Algorithms and Data Compression (9 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (1.2k citations), Pharmaceutical Science (305 citations), Automotive Engineering (226 citations) and Media Technology (162 citations). Fei Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Martha Palmer, Nianwen Xue, Fu-Dong Chiou, Yong Dou, Brian Ichter, Wei Wu, Yi Lü, Jianping Qi, Aravind K. Joshi and Karol Hausman. Their work appears in journals such as Language Resources and Evaluation, Journal of Energy Storage, IEEE Robotics and Automation Letters, Journal of Materials Chemistry B and IEEE Access.
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.