Xiaojie Yuan
- Artificial Intelligence top 1%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 2%
- Sociology and Political Science top 10%
- Co-authors
- Xiangrui CaiYing ZhangYonghong LuoWenya GuoJun XuJi-Rong WenJufeng YangJinmao Wei
- Topics
- Topic Modeling (32 papers)Text and Document Classification Technologies (16 papers)Data Management and Algorithms (16 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiaojie Yuan
126 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 919
- Information Systems 336
- Computer Vision and Pattern Recognition 336
- Signal Processing 260
- Sociology and Political Science 170
Countries citing papers authored by Xiaojie Yuan
This map shows the geographic impact of Xiaojie Yuan'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 Xiaojie Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojie Yuan more than expected).
Fields of papers citing papers by Xiaojie Yuan
This network shows the impact of papers produced by Xiaojie Yuan. 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 Xiaojie Yuan. The network helps show where Xiaojie Yuan may publish in the future.
Co-authorship network of co-authors of Xiaojie Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojie Yuan. A scholar is included among the top collaborators of Xiaojie Yuan 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 Xiaojie Yuan. Xiaojie Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 13 | |
| 16 | 3 | |
| 17 | 68 | |
| 18 | 41 | |
| 19 | An analysis of the interaction between river water, groundwater and seawater in Minjiang River estuary region, Fujian province, based on stable isotopes D and 18O | 2 |
| 20 | The Estimation of Submarine Inputs of Groundwater to a Coastal Bay Using Radium Isotopes | 1 |
About Xiaojie Yuan
Xiaojie Yuan is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 146 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Text and Document Classification Technologies (16 papers) and Data Management and Algorithms (16 papers). The work is most often cited by research in Artificial Intelligence (919 citations), Signal Processing (260 citations) and Computer Vision and Pattern Recognition (336 citations). Xiaojie Yuan has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiangrui Cai, Ying Zhang, Yonghong Luo, Ying Zhang, Wenya Guo, Jun Xu, Ji-Rong Wen, Jufeng Yang, Jinmao Wei and Shuqin Wang. Their work appears in journals such as Journal of Biological Chemistry, Nano Letters and ACS Nano.
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.