Xiaojuan Wang
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Materials Chemistry top 10%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Lei JinLiang GaoChaoyong ZhangYong ZhangMei SongXingguo LiMingshu HeJie Zheng
- Topics
- Network Security and Intrusion Detection (29 papers)Anomaly Detection Techniques and Applications (23 papers)Advancements in Battery Materials (16 papers)
- Cited by
- Computer Networks and CommunicationsIndustrial and Manufacturing EngineeringElectrical and Electronic Engineering
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaojuan Wang
198 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 178
- Electrical and Electronic Engineering 1.2k
- Artificial Intelligence 597
- Computer Networks and Communications 589
- Materials Chemistry 400
- Computer Vision and Pattern Recognition 368
Countries citing papers authored by Xiaojuan Wang
This map shows the geographic impact of Xiaojuan 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 Xiaojuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojuan Wang more than expected).
Fields of papers citing papers by Xiaojuan Wang
This network shows the impact of papers produced by Xiaojuan 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 Xiaojuan Wang. The network helps show where Xiaojuan Wang may publish in the future.
Co-authorship network of co-authors of Xiaojuan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojuan Wang. A scholar is included among the top collaborators of Xiaojuan 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 Xiaojuan Wang. Xiaojuan 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 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 66 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 7 |
About Xiaojuan Wang
Xiaojuan Wang is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 213 papers that have together received 3.6k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (29 papers), Anomaly Detection Techniques and Applications (23 papers) and Advancements in Battery Materials (16 papers). The work is most often cited by research in Computer Networks and Communications (589 citations), Industrial and Manufacturing Engineering (255 citations) and Electrical and Electronic Engineering (1.2k citations). Xiaojuan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lei Jin, Liang Gao, Chaoyong Zhang, Yong Zhang, Mei Song, Xingguo Li, Mingshu He, Jie Zheng, Da Guo and Defu Wang. Their work appears in journals such as Angewandte Chemie International Edition, PLoS ONE and Journal of Power Sources.
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.