Dingzhu Wen
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Kaibin HuangYuanming ShiGuanding YuGuangxu ZhuJinke RenYinghui HeDongning GuoQunsong Zeng
- Topics
- Privacy-Preserving Technologies in Data (15 papers)Advanced MIMO Systems Optimization (14 papers)Distributed Sensor Networks and Detection Algorithms (13 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceElectrical and Electronic Engineering
- Journals
- IEEE Communications Surveys & TutorialsIEEE Transactions on CommunicationsIEEE Transactions on Wireless Communications
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dingzhu Wen
49 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Electrical and Electronic Engineering 570
- Artificial Intelligence 557
- Computer Networks and Communications 503
- Aerospace Engineering 126
- Computer Vision and Pattern Recognition 77
Countries citing papers authored by Dingzhu Wen
This map shows the geographic impact of Dingzhu Wen'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 Dingzhu Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingzhu Wen more than expected).
Fields of papers citing papers by Dingzhu Wen
This network shows the impact of papers produced by Dingzhu Wen. 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 Dingzhu Wen. The network helps show where Dingzhu Wen may publish in the future.
Co-authorship network of co-authors of Dingzhu Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Dingzhu Wen. A scholar is included among the top collaborators of Dingzhu Wen 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 Dingzhu Wen. Dingzhu Wen 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 | 1 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 39 | |
| 13 | 3 | |
| 14 | 27 | |
| 15 | 3 | |
| 16 | 47 | |
| 17 | 21 | |
| 18 | 5 | |
| 19 | 23 | |
| 20 | 1 |
About Dingzhu Wen
Dingzhu Wen is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (15 papers), Advanced MIMO Systems Optimization (14 papers) and Distributed Sensor Networks and Detection Algorithms (13 papers). The work is most often cited by research in Computer Networks and Communications (503 citations), Artificial Intelligence (557 citations) and Electrical and Electronic Engineering (570 citations). Dingzhu Wen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kaibin Huang, Yuanming Shi, Guanding Yu, Guangxu Zhu, Jinke Ren, Yinghui He, Dongning Guo, Qunsong Zeng, Peixi Liu and Khaled B. Letaief. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Transactions on Communications and IEEE Transactions on Wireless 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.