Yuchen Wang
- Industrial and Manufacturing Engineering top 2%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Economics and Econometrics
- Topics
- Digital Transformation in Industry (7 papers)IoT and Edge/Fog Computing (6 papers)Manufacturing Process and Optimization (5 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement Information SystemsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyScientific Reports
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yuchen Wang
75 papers receiving 627 citations
Peers
Comparison fields: 5 of 131
- Industrial and Manufacturing Engineering 165
- Mechanical Engineering 87
- Computer Vision and Pattern Recognition 86
- Artificial Intelligence 80
- Economics and Econometrics 60
Countries citing papers authored by Yuchen Wang
This map shows the geographic impact of Yuchen Wang'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 Yuchen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuchen Wang more than expected).
Fields of papers citing papers by Yuchen Wang
This network shows the impact of papers produced by Yuchen Wang. 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 Yuchen Wang. The network helps show where Yuchen Wang may publish in the future.
Co-authorship network of co-authors of Yuchen Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuchen Wang. A scholar is included among the top collaborators of Yuchen Wang 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 Yuchen Wang. Yuchen Wang 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 | 11 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 27 | |
| 14 | 53 | |
| 15 | Privacy-Preserving and Standard-Compatible {AKA} Protocol for 5G | 13 |
| 16 | 45 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 23 | |
| 20 | 0 |
About Yuchen Wang
Yuchen Wang is a scholar working on Fuel Technology, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 92 papers that have together received 644 indexed citations. Recurring topics across this work include Digital Transformation in Industry (7 papers), IoT and Edge/Fog Computing (6 papers) and Manufacturing Process and Optimization (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (165 citations), Management Information Systems (42 citations) and Computer Vision and Pattern Recognition (86 citations). Yuchen Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ang Liu, Xingzhi Wang, Fei Tao, Ge Bai, Yue Yu, Daniel Polsky, Hossein Zare, John Jiang, Xiwei Xu and Jianxin Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Scientific Reports.
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.