Qian Xie
- Computer Vision and Pattern Recognition top 2%
- Civil and Structural Engineering top 2%
- Geology top 1%
- Industrial and Manufacturing Engineering top 1%
- Computational Mechanics top 5%
- Topics
- Industrial Vision Systems and Defect Detection (18 papers)3D Surveying and Cultural Heritage (14 papers)Advanced Neural Network Applications (12 papers)
- Journals
- ACS NanoIEEE Transactions on Pattern Analysis and Machine IntelligenceRemote Sensing of Environment
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qian Xie
89 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 615
- Civil and Structural Engineering 423
- Geology 373
- Industrial and Manufacturing Engineering 358
- Computational Mechanics 335
Countries citing papers authored by Qian Xie
This map shows the geographic impact of Qian 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 Qian Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qian Xie more than expected).
Fields of papers citing papers by Qian Xie
This network shows the impact of papers produced by Qian 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 Qian Xie. The network helps show where Qian Xie may publish in the future.
Co-authorship network of co-authors of Qian Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Qian Xie. A scholar is included among the top collaborators of Qian 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 Qian Xie. Qian 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 | 1 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 16 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | Characterizing Service Components of China's Manufacturing Exports | 2 |
| 17 | 34 | |
| 18 | 65 | |
| 19 | 2 | |
| 20 | QR Code Recognition Mobile System using DSP based QR decoder | 3 |
About Qian Xie
Qian Xie is a scholar working on Geology, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (18 papers), 3D Surveying and Cultural Heritage (14 papers) and Advanced Neural Network Applications (12 papers). The work is most often cited by research in Geology (373 citations), Industrial and Manufacturing Engineering (358 citations) and Computer Vision and Pattern Recognition (615 citations). Qian Xie has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Wang, Zhenghao Yu, Dawei Li, Jinxuan Xu, Dawei Li, Qiaoyun Wu, Dening Lu, Yingying Xu, Jing Wu and Xiaoxi Gong. Their work appears in journals such as ACS Nano, IEEE Transactions on Pattern Analysis and Machine Intelligence and Remote Sensing of Environment.
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.