Jiang Xie
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Guoyin WangYufang ZhangShuyin XiaZhongyang XiongXinbo GaoDongdong ChengSulan ZhangJinlong Huang
- Topics
- Advanced Clustering Algorithms Research (11 papers)Face and Expression Recognition (5 papers)Image Retrieval and Classification Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInformation SciencesIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaUnited States
In The Last Decade
Jiang Xie
13 papers receiving 278 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 214
- Computer Vision and Pattern Recognition 110
- Signal Processing 51
- Computational Theory and Mathematics 41
- Statistical and Nonlinear Physics 40
Countries citing papers authored by Jiang Xie
This map shows the geographic impact of Jiang Xie'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 Jiang Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Xie more than expected).
Fields of papers citing papers by Jiang Xie
This network shows the impact of papers produced by Jiang Xie. 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 Jiang Xie. The network helps show where Jiang Xie may publish in the future.
Co-authorship network of co-authors of Jiang Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Xie. A scholar is included among the top collaborators of Jiang Xie 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 Jiang Xie. Jiang Xie 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 | 3 | |
| 3 | 15 | |
| 4 | 11 | |
| 5 | 19 | |
| 6 | 0 | |
| 7 | 41 | |
| 8 | 1 | |
| 9 | 54 | |
| 10 | 11 | |
| 11 | 21 | |
| 12 | 31 | |
| 13 | 32 | |
| 14 | 36 | |
| 15 | Research and Application of Multi-Criteria Decision Making Method based on Order Relation and Rough Set | 5 |
About Jiang Xie
Jiang Xie is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 280 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (11 papers), Face and Expression Recognition (5 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (214 citations), Computer Vision and Pattern Recognition (110 citations) and Signal Processing (51 citations). Jiang Xie has collaborated with scholars based in China and United States. Frequent co-authors include Guoyin Wang, Yufang Zhang, Shuyin Xia, Zhongyang Xiong, Xinbo Gao, Dongdong Cheng, Sulan Zhang, Jinlong Huang, Yong Feng and Xiaoxia Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.
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.