Qian Xiang
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Aerospace Engineering
- Biomedical Engineering
- Co-authors
- Xiaodan WangYafei SongRui LiLei LeiJiaxing HeZhengyi LiuZhijun LüPeng Zhao
- Topics
- Advanced SAR Imaging Techniques (10 papers)Industrial Vision Systems and Defect Detection (10 papers)Textile materials and evaluations (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsGeophysical Research Letters
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qian Xiang
53 papers receiving 412 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 107
- Computer Vision and Pattern Recognition 79
- Computer Networks and Communications 57
- Aerospace Engineering 56
- Biomedical Engineering 45
Countries citing papers authored by Qian Xiang
This map shows the geographic impact of Qian Xiang'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 Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qian Xiang more than expected).
Fields of papers citing papers by Qian Xiang
This network shows the impact of papers produced by Qian Xiang. 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 Xiang. The network helps show where Qian Xiang may publish in the future.
Co-authorship network of co-authors of Qian Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Qian Xiang. A scholar is included among the top collaborators of Qian Xiang 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 Xiang. Qian Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 21 | |
| 11 | 22 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 0 | |
| 15 | An Explainable Diagnostic Method for Autism Spectrum Disorder Using Neural Network. | 0 |
| 16 | 11 | |
| 17 | 1 | |
| 18 | GA Based Parameters Optimization on Prediction Method of Yarn Quality | 1 |
| 19 | Chaos Prediction of Wave Hydrodynamic Pressure Signals Based on Local Support Vectors Machine | 2 |
| 20 | Immune Genetic Algorithm for Optimal Design | 2 |
About Qian Xiang
Qian Xiang is a scholar working on Industrial and Manufacturing Engineering, Instrumentation and Polymers and Plastics, having authored 58 papers that have together received 429 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (10 papers), Industrial Vision Systems and Defect Detection (10 papers) and Textile materials and evaluations (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (79 citations), Signal Processing (40 citations) and Industrial and Manufacturing Engineering (37 citations). Qian Xiang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaodan Wang, Yafei Song, Rui Li, Lei Lei, Jiaxing He, Zhengyi Liu, Zhijun Lü, Peng Zhao, Yuan Wang and Quan Wen. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Geophysical Research Letters.
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.