Xinchi Chen
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
-
- Multimodal Machine Learning Applications
- Handwritten Text Recognition Techniques
Papers in
-
- Natural Language Processing Techniques 13
- Topic Modeling 13
- Speech Recognition and Synthesis 4
- Advanced Graph Neural Networks 2
- Text and Document Classification Technologies 1
- Advanced Text Analysis Techniques 1
-
- Multimodal Machine Learning Applications 4
- Co-authors
- Xipeng Qiu (11 shared papers)Xuanjing Huang (10 shared papers)Chenxi Zhu (5 shared papers)Pengfei Liu (2 shared papers)Jingjing Gong (2 shared papers)Conghui Zhu (1 shared paper)Tiejun Zhao (1 shared paper)Furu Wei (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)UvA-DARE (University of Amsterdam) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaNetherlandsUnited Kingdom
In The Last Decade
Xinchi Chen
13 papers receiving 565 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 539
- Computer Vision and Pattern Recognition 116
- General Social Sciences 13
- Signal Processing 34
- Information Systems 46
Countries citing papers authored by Xinchi Chen
This map shows the geographic impact of Xinchi Chen'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 Xinchi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinchi Chen more than expected).
Fields of papers citing papers by Xinchi Chen
This network shows the impact of papers produced by Xinchi Chen. 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 Xinchi Chen. The network helps show where Xinchi Chen may publish in the future.
Co-authors
The 14 scholars most cited alongside Xinchi Chen, 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 | 2015 | 191 | |
| 2 | 2015 | 123 | |
| 3 | 2015 | 83 | |
| 4 | 2018 | 47 | |
| 5 | 2018 | 37 | |
| 6 | 2015 | 27 | |
| 7 | 2015 | 27 | |
| 8 | 2019 | 23 | |
| 9 | 2017 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2018 | 9 | |
| 12 | 2015 | 4 | |
| 13 | 2018 | 1 |
About Xinchi Chen
Xinchi Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Infectious Diseases and Organic Chemistry, having authored 13 papers that have together received 600 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers), Multimodal Machine Learning Applications (4 papers), Speech Recognition and Synthesis (4 papers), Advanced Graph Neural Networks (2 papers), Time Series Analysis and Forecasting (1 paper), Text and Document Classification Technologies (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (539 citations), Computer Vision and Pattern Recognition (116 citations), General Social Sciences (13 citations), Signal Processing (34 citations) and Information Systems (46 citations). Xinchi Chen has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include Xipeng Qiu, Xuanjing Huang, Chenxi Zhu, Pengfei Liu, Jingjing Gong, Conghui Zhu, Tiejun Zhao, Furu Wei, Lei Cui and Chaoqun Duan. Their work appears in journals such as Lecture notes in computer science, UvA-DARE (University of Amsterdam) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.