Xin Wei
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Liang ZhouDan WuJianxin ChenYun GaoMingkai ChenChunguang LiYi QianZhe Zhang
- Topics
- Image and Video Quality Assessment (37 papers)Caching and Content Delivery (17 papers)Multimedia Communication and Technology (11 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xin Wei
100 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Computer Networks and Communications 374
- Computer Vision and Pattern Recognition 300
- Electrical and Electronic Engineering 246
- Artificial Intelligence 230
- Control and Systems Engineering 102
Countries citing papers authored by Xin Wei
This map shows the geographic impact of Xin Wei'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 Xin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Wei more than expected).
Fields of papers citing papers by Xin Wei
This network shows the impact of papers produced by Xin Wei. 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 Xin Wei. The network helps show where Xin Wei may publish in the future.
Co-authorship network of co-authors of Xin Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Wei. A scholar is included among the top collaborators of Xin Wei 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 Xin Wei. Xin Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 54 | |
| 12 | 27 | |
| 13 | 22 | |
| 14 | 45 | |
| 15 | 9 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | Evaluation for IPTV service based on poor-quality model | 1 |
| 19 | Research on clustering arithmetic of wireless sensor networks | 1 |
| 20 | Wireless Sensor Network Node Design Based on PSoC | 0 |
About Xin Wei
Xin Wei is a scholar working on Computer Vision and Pattern Recognition, Urban Studies and Computer Networks and Communications, having authored 113 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (37 papers), Caching and Content Delivery (17 papers) and Multimedia Communication and Technology (11 papers). The work is most often cited by research in Computer Networks and Communications (374 citations), Computer Vision and Pattern Recognition (300 citations) and Human-Computer Interaction (68 citations). Xin Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liang Zhou, Dan Wu, Jianxin Chen, Yun Gao, Mingkai Chen, Chunguang Li, Yi Qian, Zhe Zhang, Chung–Horng Lung and Zhenjiang Dong. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and Sensors.
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.