Xin Jiang
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Papers in
-
- Topic Modeling 36
- Natural Language Processing Techniques 33
- Advanced Text Analysis Techniques 6
- Speech and dialogue systems 5
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- Multimodal Machine Learning Applications 17
- Co-authors
- Lifeng Shang (31 shared papers)Yichun Yin (10 shared papers)Xiao Dong Chen (5 shared papers)Xiaoqi Jiao (2 shared papers)Linlin Li (1 shared paper)Fang Wang (1 shared paper)Lu Hou (7 shared papers)Hang Li (1 shared paper)
In The Last Decade
Xin Jiang
76 papers receiving 2.1k citations
Xin Jiang's Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 1.5k
- Computer Vision and Pattern Recognition 684
- Signal Processing 123
- Health Informatics 11
- Software 32
Countries citing papers authored by Xin Jiang
This map shows the geographic impact of Xin Jiang'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 Xin Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Jiang more than expected).
Fields of papers citing papers by Xin Jiang
This network shows the impact of papers produced by Xin Jiang. 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 Xin Jiang. The network helps show where Xin Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Jiang, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TinyBERT: Distilling BERT for Natural Language Understanding Hit paper breakdown → | 2020 | 871 |
| 2 | 2018 | 107 | |
| 3 | 2020 | 91 | |
| 4 | 2009 | 84 | |
| 5 | 2006 | 63 | |
| 6 | 2021 | 61 | |
| 7 | 1996 | 56 | |
| 8 | 2022 | 41 | |
| 9 | 2020 | 41 | |
| 10 | 2020 | 39 | |
| 11 | 2022 | 34 | |
| 12 | 2021 | 33 | |
| 13 | 2023 | 32 | |
| 14 | 2022 | 32 | |
| 15 | 2020 | 32 | |
| 16 | DynaBERT: Dynamic BERT with Adaptive Width and Depth | 2020 | 27 |
| 17 | 2021 | 27 | |
| 18 | 2019 | 27 | |
| 19 | 2022 | 26 | |
| 20 | 2023 | 26 |
About Xin Jiang
Xin Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Atmospheric Science, having authored 83 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (36 papers), Natural Language Processing Techniques (33 papers), Multimodal Machine Learning Applications (17 papers), Advanced Text Analysis Techniques (6 papers), Speech and dialogue systems (5 papers), Atmospheric chemistry and aerosols (5 papers), Speech and Audio Processing (5 papers) and Air Quality and Health Impacts (3 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (684 citations), Signal Processing (123 citations), Health Informatics (11 citations) and Software (32 citations). Xin Jiang has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Lifeng Shang, Yichun Yin, Xiao Dong Chen, Xiaoqi Jiao, Linlin Li, Fang Wang, Lu Hou, Hang Li, Zichao Li and Yunhua Hu. Their work appears in journals such as Environmental Pollution, Computers in Biology and Medicine, Applied Physics Letters, Neurocomputing and Electronics.
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.