Shuangyu Wei
- Building and Construction top 1%
- Environmental Engineering top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Global and Planetary Change
- Co-authors
- John Kaiser CalautitPaige Wenbin TienJo DarkwaChristopher J. WoodYupeng WuBen Richard HughesLiang XiaRabah Boukhanouf
- Topics
- Building Energy and Comfort Optimization (21 papers)Impact of Light on Environment and Health (7 papers)Air Quality Monitoring and Forecasting (6 papers)
- Partner nations
- United KingdomChinaPhilippines
In The Last Decade
Shuangyu Wei
26 papers receiving 807 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Building and Construction 585
- Environmental Engineering 332
- Electrical and Electronic Engineering 164
- Computer Vision and Pattern Recognition 122
- Global and Planetary Change 102
Countries citing papers authored by Shuangyu Wei
This map shows the geographic impact of Shuangyu 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 Shuangyu Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuangyu Wei more than expected).
Fields of papers citing papers by Shuangyu Wei
This network shows the impact of papers produced by Shuangyu 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 Shuangyu Wei. The network helps show where Shuangyu Wei may publish in the future.
Co-authorship network of co-authors of Shuangyu Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Shuangyu Wei. A scholar is included among the top collaborators of Shuangyu 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 Shuangyu Wei. Shuangyu 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 | 10 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 39 | |
| 5 | 1 | |
| 6 | Machine Learning and Deep Learning Methods for Enhancing Building Energy Efficiency and Indoor Environmental Quality – A Reviewbreakdown → | 152 |
| 7 | 56 | |
| 8 | 15 | |
| 9 | 50 | |
| 10 | 2 | |
| 11 | 31 | |
| 12 | 29 | |
| 13 | 14 | |
| 14 | 56 | |
| 15 | 4 | |
| 16 | 43 | |
| 17 | 37 | |
| 18 | 17 | |
| 19 | 52 | |
| 20 | 9 |
About Shuangyu Wei
Shuangyu Wei is a scholar working on Building and Construction, Environmental Engineering and Safety, Risk, Reliability and Quality, having authored 26 papers that have together received 845 indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (21 papers), Impact of Light on Environment and Health (7 papers) and Air Quality Monitoring and Forecasting (6 papers). The work is most often cited by research in Building and Construction (585 citations), Environmental Engineering (332 citations) and Safety, Risk, Reliability and Quality (74 citations). Shuangyu Wei has collaborated with scholars based in United Kingdom, China and Philippines. Frequent co-authors include John Kaiser Calautit, Paige Wenbin Tien, Jo Darkwa, Christopher J. Wood, Yupeng Wu, Ben Richard Hughes, Liang Xia, Rabah Boukhanouf, Tianshu Liu and Dominic O’Connor. Their work appears in journals such as Applied Energy, Renewable Energy and Energy and Buildings.
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.