Yiwen Wu
- Computer Networks and Communications top 5%
- Industrial and Manufacturing Engineering top 2%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Ke ZhangYan ZhangSupeng LengChetna SinghalMarco LevoratoHongxia SunFrancesco MalandrinoCarla Fabiana Chiasserini
- Topics
- IoT and Edge/Fog Computing (4 papers)Digital Transformation in Industry (2 papers)Blockchain Technology Applications and Security (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Networks and CommunicationsInformation Systems
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Internet of Things JournalComputer Communications
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Yiwen Wu
7 papers receiving 574 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 326
- Industrial and Manufacturing Engineering 243
- Electrical and Electronic Engineering 170
- Information Systems 99
- Artificial Intelligence 62
Countries citing papers authored by Yiwen Wu
This map shows the geographic impact of Yiwen 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 Yiwen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiwen Wu more than expected).
Fields of papers citing papers by Yiwen Wu
This network shows the impact of papers produced by Yiwen 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 Yiwen Wu. The network helps show where Yiwen Wu may publish in the future.
Co-authorship network of co-authors of Yiwen Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yiwen Wu. A scholar is included among the top collaborators of Yiwen 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 Yiwen Wu. Yiwen 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 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | Digital Twin Networks: A Surveybreakdown → | 538 |
| 7 | 6 | |
| 8 | 31 | |
| 9 | 3 |
About Yiwen Wu
Yiwen Wu is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 585 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Digital Transformation in Industry (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (243 citations), Computer Networks and Communications (326 citations) and Information Systems (99 citations). Yiwen Wu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Ke Zhang, Yan Zhang, Supeng Leng, Chetna Singhal, Marco Levorato, Hongxia Sun, Francesco Malandrino, Carla Fabiana Chiasserini, Jian Zhong and Jing He. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Internet of Things Journal and Computer 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.