Weiwei Wu
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Radiological and Ultrasound Technology top 0.5%
- Building and Construction top 2%
- Co-authors
- Xiumin WangDavid A.S. ChewQiming LiHuanjia YangAlistair GibbJunzhou LuoChau YuenWanyuan Wang
- Topics
- Mobile Crowdsensing and Crowdsourcing (15 papers)Energy Harvesting in Wireless Networks (14 papers)Advanced MIMO Systems Optimization (14 papers)
- Cited by
- Radiological and Ultrasound TechnologyComputer Science ApplicationsMedical Laboratory Technology
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Weiwei Wu
146 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Electrical and Electronic Engineering 734
- Computer Networks and Communications 592
- Artificial Intelligence 407
- Radiological and Ultrasound Technology 324
- Building and Construction 324
Countries citing papers authored by Weiwei Wu
This map shows the geographic impact of Weiwei 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 Weiwei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Wu more than expected).
Fields of papers citing papers by Weiwei Wu
This network shows the impact of papers produced by Weiwei 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 Weiwei Wu. The network helps show where Weiwei Wu may publish in the future.
Co-authorship network of co-authors of Weiwei Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Wu. A scholar is included among the top collaborators of Weiwei 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 Weiwei Wu. Weiwei 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 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 29 | |
| 18 | 14 | |
| 19 | 9 | |
| 20 | 79 |
About Weiwei Wu
Weiwei Wu is a scholar working on Computer Science Applications, Computer Networks and Communications and Medical Laboratory Technology, having authored 166 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (15 papers), Energy Harvesting in Wireless Networks (14 papers) and Advanced MIMO Systems Optimization (14 papers). The work is most often cited by research in Radiological and Ultrasound Technology (324 citations), Computer Science Applications (247 citations) and Medical Laboratory Technology (50 citations). Weiwei Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiumin Wang, David A.S. Chew, Qiming Li, Huanjia Yang, Alistair Gibb, Junzhou Luo, Chau Yuen, Wanyuan Wang, Ning An and Pan Zhou. Their work appears in journals such as Journal of Cleaner Production, IEEE Access and IEEE Journal on Selected Areas in Communications.
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.