Xiaochun Wang
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Topics
- Anomaly Detection Techniques and Applications (8 papers)Advanced Clustering Algorithms Research (6 papers)Artificial Immune Systems Applications (6 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringPattern Recognition LettersProcess Safety and Environmental Protection
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Xiaochun Wang
42 papers receiving 271 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 158
- Computer Vision and Pattern Recognition 85
- Signal Processing 49
- Computer Networks and Communications 40
- Electrical and Electronic Engineering 32
Countries citing papers authored by Xiaochun Wang
This map shows the geographic impact of Xiaochun 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 Xiaochun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochun Wang more than expected).
Fields of papers citing papers by Xiaochun Wang
This network shows the impact of papers produced by Xiaochun 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 Xiaochun Wang. The network helps show where Xiaochun Wang may publish in the future.
Co-authorship network of co-authors of Xiaochun Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochun Wang. A scholar is included among the top collaborators of Xiaochun 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 Xiaochun Wang. Xiaochun 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 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 31 | |
| 11 | 28 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | A Fast Distance-Based Outlier Detection Technique. | 2 |
| 15 | Visual Novel Object Detection for Mobile Robots. | 1 |
| 16 | 4 | |
| 17 | Investigation on P.E. Teachers' Identities of Profession Competence under the Background of New Curriculum Reform in Middle Schools | 1 |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 1 |
About Xiaochun Wang
Xiaochun Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 46 papers that have together received 286 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (8 papers), Advanced Clustering Algorithms Research (6 papers) and Artificial Immune Systems Applications (6 papers). The work is most often cited by research in Artificial Intelligence (158 citations), Signal Processing (49 citations) and Computer Vision and Pattern Recognition (85 citations). Xiaochun Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include D.M. Wilkes, Weiguo Wu, Mitch Wilkes, Dongxu Qi, Yuanchun Shi, Sheng Zhou, Hongjun Li, Yu Fang, Hongchao Jiang and Hong Guo. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Pattern Recognition Letters and Process Safety and Environmental Protection.
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.