Xiukun Wang
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Spectroscopy top 10%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Topics
- Advanced Computational Techniques and Applications (9 papers)Web Data Mining and Analysis (5 papers)Advanced Decision-Making Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsBuilding and Construction
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiukun Wang
60 papers receiving 762 citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 218
- Molecular Biology 170
- Spectroscopy 113
- Statistical and Nonlinear Physics 104
- Artificial Intelligence 102
Countries citing papers authored by Xiukun Wang
This map shows the geographic impact of Xiukun 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 Xiukun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiukun Wang more than expected).
Fields of papers citing papers by Xiukun Wang
This network shows the impact of papers produced by Xiukun 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 Xiukun Wang. The network helps show where Xiukun Wang may publish in the future.
Co-authorship network of co-authors of Xiukun Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiukun Wang. A scholar is included among the top collaborators of Xiukun 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 Xiukun Wang. Xiukun 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 | 2 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 176 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | New class incremental learning method | 3 |
| 10 | Transaction Model Based on Local Closed World Assumption | 3 |
| 11 | Decision tree algorithm use to forecast and analyse for students' marks | 2 |
| 12 | 27 | |
| 13 | Combing node frequency and semantic feature for webpage informative content extraction | 0 |
| 14 | 15 | |
| 15 | Simulation System of Crawler Crane for Demonstrating Lifting Proposal | 1 |
| 16 | Research on an improved fast classification algorithm of support vector machines | 1 |
| 17 | Algorithm for Bayesian Networks Structure Learning Based on Information Entropy | 0 |
| 18 | Research and Application for Using Genetic Algorithms to Solve the Orientation of Wellhead | 1 |
| 19 | 6 | |
| 20 | 1 |
About Xiukun Wang
Xiukun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 67 papers that have together received 791 indexed citations. Recurring topics across this work include Advanced Computational Techniques and Applications (9 papers), Web Data Mining and Analysis (5 papers) and Advanced Decision-Making Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (218 citations), Statistical and Nonlinear Physics (104 citations) and Building and Construction (94 citations). Xiukun Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xingyuan Wang, Lin Teng, Di Wu, Yuanshan Lin, Herbert Ho‐Ching Iu, Jinsong Li, Ying Zhu, Ziyi Li, Min Huang and Catherine C. L. Wong. Their work appears in journals such as Journal of Biological Chemistry, Analytical Chemistry and Automation in Construction.
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.