Xuxin Cheng
- Control and Systems Engineering top 10%
- Automotive Engineering top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Pin WangChing‐Yao ChanPieter AbbeelZhongyu LiGlen BersethKoushil SreenathXue Bin PengSergey Levine
- Topics
- Natural Language Processing Techniques (9 papers)Speech and dialogue systems (7 papers)Topic Modeling (7 papers)
- Journals
- Rare & Special e-Zone (The Hong Kong University of Science and Technology)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Xuxin Cheng
16 papers receiving 326 citations
Peers
Comparison fields: 5 of 44
- Control and Systems Engineering 154
- Automotive Engineering 119
- Artificial Intelligence 115
- Biomedical Engineering 107
- Computer Vision and Pattern Recognition 64
Countries citing papers authored by Xuxin Cheng
This map shows the geographic impact of Xuxin Cheng'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 Xuxin Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuxin Cheng more than expected).
Fields of papers citing papers by Xuxin Cheng
This network shows the impact of papers produced by Xuxin Cheng. 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 Xuxin Cheng. The network helps show where Xuxin Cheng may publish in the future.
Co-authorship network of co-authors of Xuxin Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Xuxin Cheng. A scholar is included among the top collaborators of Xuxin Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuxin Cheng. Xuxin Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 5 | |
| 13 | 25 | |
| 14 | 0 | |
| 15 | 11 | |
| 16 | 10 | |
| 17 | 6 | |
| 18 | 117 | |
| 19 | 77 | |
| 20 | 58 |
About Xuxin Cheng
Xuxin Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 21 papers that have together received 331 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Speech and dialogue systems (7 papers) and Topic Modeling (7 papers). The work is most often cited by research in Automotive Engineering (119 citations), Control and Systems Engineering (154 citations) and Artificial Intelligence (115 citations). Xuxin Cheng has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Pin Wang, Ching‐Yao Chan, Pieter Abbeel, Zhongyu Li, Glen Berseth, Koushil Sreenath, Xue Bin Peng, Sergey Levine, Fei Ye and Jiucai Zhang. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology) 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.