Keren Yu
Impact in
- Economics and Econometrics top 2%
- Energy, Environment, Economic Growth
- Climate Change Policy and Economics
- Fiscal Policy and Economic Growth
- Environmental Engineering top 5%
- Environmental Impact and Sustainability
Papers in
-
- Speech and Audio Processing 2
- Music and Audio Processing 2
- Co-authors
- Ning Zhang (1 shared paper)Zhongfei Chen (1 shared paper)Horst Bunke (6 shared papers)Xiaoyi Jiang (6 shared papers)Bo Zhao (1 shared paper)Changjun Xie (1 shared paper)Ying Shi (1 shared paper)Zhaoyang Dong (1 shared paper)
- Journals
- The Visual Computer (2 papers)Signal Processing (1 paper)Pattern Recognition Letters (1 paper)Energy Policy (1 paper)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)
- Partner nations
- SwitzerlandChinaSingapore
In The Last Decade
Keren Yu
10 papers receiving 474 citations
Keren Yu's Hit Papers
Peers
Comparison fields: 5 of 65
- Economics and Econometrics 377
- Environmental Engineering 182
- Renewable Energy, Sustainability and the Environment 157
- Health, Toxicology and Mutagenesis 113
- Transportation 53
Countries citing papers authored by Keren Yu
This map shows the geographic impact of Keren Yu'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 Keren Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keren Yu more than expected).
Fields of papers citing papers by Keren Yu
This network shows the impact of papers produced by Keren Yu. 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 Keren Yu. The network helps show where Keren Yu may publish in the future.
Co-authors
The 15 scholars most cited alongside Keren Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis Hit paper breakdown → | 2017 | 432 |
| 2 | 1997 | 14 | |
| 3 | 1996 | 10 | |
| 4 | 2024 | 9 | |
| 5 | 2002 | 5 | |
| 6 | 2001 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 1999 | 2 | |
| 9 | 1996 | 2 | |
| 10 | 2017 | 1 | |
| 11 | 2017 | 0 |
About Keren Yu
Keren Yu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Management Information Systems and Control and Systems Engineering, having authored 11 papers that have together received 482 indexed citations. Recurring topics across this work include Speech and Audio Processing (2 papers), Optics and Image Analysis (2 papers), Music and Audio Processing (2 papers), Quantum Information and Cryptography (1 paper), Natural Language Processing Techniques (1 paper), Environmental Impact and Sustainability (1 paper), Quantum Computing Algorithms and Architecture (1 paper) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Economics and Econometrics (377 citations), Environmental Engineering (182 citations), Renewable Energy, Sustainability and the Environment (157 citations), Health, Toxicology and Mutagenesis (113 citations) and Transportation (53 citations). Keren Yu has collaborated with scholars based in Switzerland, China and Singapore. Frequent co-authors include Ning Zhang, Zhongfei Chen, Horst Bunke, Xiaoyi Jiang, Bo Zhao, Changjun Xie, Ying Shi, Zhaoyang Dong, Hui Hou and Leiqi Zhang. Their work appears in journals such as The Visual Computer, Signal Processing, Pattern Recognition Letters, Energy Policy and International Journal of Pattern Recognition and Artificial Intelligence.
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.