Chunxue Wu
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Co-authors
- Naixue XiongWenliang WuYan WuShufeng LiYang GaoDianjie LuZhan SuHongyan Li
- Topics
- Energy Efficient Wireless Sensor Networks (9 papers)Mobile Ad Hoc Networks (7 papers)Recommender Systems and Techniques (5 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- IEEE AccessSensorsEpilepsia
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Chunxue Wu
60 papers receiving 808 citations
Peers
Comparison fields: 5 of 134
- Computer Networks and Communications 263
- Electrical and Electronic Engineering 182
- Artificial Intelligence 177
- Computer Vision and Pattern Recognition 170
- Information Systems 112
Countries citing papers authored by Chunxue Wu
This map shows the geographic impact of Chunxue Wu'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 Chunxue Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunxue Wu more than expected).
Fields of papers citing papers by Chunxue Wu
This network shows the impact of papers produced by Chunxue Wu. 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 Chunxue Wu. The network helps show where Chunxue Wu may publish in the future.
Co-authorship network of co-authors of Chunxue Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Chunxue Wu. A scholar is included among the top collaborators of Chunxue Wu 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 Chunxue Wu. Chunxue Wu 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 | 11 | |
| 3 | 14 | |
| 4 | 42 | |
| 5 | 7 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | An Improved Node Localization Algorithm Based on Positioning Accurately in WSN | 1 |
| 9 | 10 | |
| 10 | 18 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | E-health Web Application Frameworks Based on Cloud Technology | 1 |
| 15 | 24 | |
| 16 | 6 | |
| 17 | 14 | |
| 18 | 7 | |
| 19 | 5 | |
| 20 | 10 |
About Chunxue Wu
Chunxue Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Urban Studies, having authored 62 papers that have together received 847 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (9 papers), Mobile Ad Hoc Networks (7 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (263 citations), Computer Vision and Pattern Recognition (170 citations) and Industrial and Manufacturing Engineering (59 citations). Chunxue Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Naixue Xiong, Wenliang Wu, Yan Wu, Shufeng Li, Yang Gao, Dianjie Lu, Zhan Su, Hongyan Li, Jun Ai and Wei Zhang. Their work appears in journals such as IEEE Access, Sensors and Epilepsia.
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.