Xiangqian Wang
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Ocean Engineering top 10%
- Signal Processing top 10%
- Environmental Engineering
- Co-authors
- Yonghong TianPeixi PengGuangyao ChenXiangrui MengMin WangHuan ZhouXianfeng WangFrancis Atta Sarpong
- Topics
- Coal Properties and Utilization (4 papers)Underwater Vehicles and Communication Systems (3 papers)Advanced Text Analysis Techniques (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsIEEE Access
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Xiangqian Wang
32 papers receiving 474 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 90
- Ocean Engineering 54
- Signal Processing 51
- Environmental Engineering 50
Countries citing papers authored by Xiangqian Wang
This map shows the geographic impact of Xiangqian Wang'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 Xiangqian Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangqian Wang more than expected).
Fields of papers citing papers by Xiangqian Wang
This network shows the impact of papers produced by Xiangqian Wang. 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 Xiangqian Wang. The network helps show where Xiangqian Wang may publish in the future.
Co-authorship network of co-authors of Xiangqian Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangqian Wang. A scholar is included among the top collaborators of Xiangqian Wang 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 Xiangqian Wang. Xiangqian Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 24 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | 32 | |
| 11 | 38 | |
| 12 | 8 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | Design and Implementation of University's Internet Psychological Counseling System | 1 |
| 20 | Application of HPMR in Parallel Matrix Computation | 2 |
About Xiangqian Wang
Xiangqian Wang is a scholar working on Business and International Management, Ocean Engineering and Safety, Risk, Reliability and Quality, having authored 36 papers that have together received 481 indexed citations. Recurring topics across this work include Coal Properties and Utilization (4 papers), Underwater Vehicles and Communication Systems (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (183 citations), Signal Processing (51 citations) and Computer Vision and Pattern Recognition (90 citations). Xiangqian Wang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yonghong Tian, Peixi Peng, Guangyao Chen, Xiangrui Meng, Min Wang, Huan Zhou, Xianfeng Wang, Francis Atta Sarpong, Hongde Qin and Shudong Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Access.
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.