Yuting Wang
Impact in
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- Grey System Theory Applications
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- Energy Load and Power Forecasting
- Smart Grid Energy Management
Papers in
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- Plant biochemistry and biosynthesis 4
- CRISPR and Genetic Engineering 2
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- Logic, programming, and type systems 6
- Security and Verification in Computing 4
- Co-authors
- Che Guan (2 shared papers)Laurent Michel (2 shared papers)Peter B. Luh (2 shared papers)Zhong Shao (5 shared papers)T.C.E. Cheng (1 shared paper)Tsan‐Ming Choi (1 shared paper)Xiaoping Xu (1 shared paper)Dong Wang (2 shared papers)
- Journals
- Proceedings of the ACM on Programming Languages (5 papers)Frontiers in Plant Science (2 papers)Physical review. B. (2 papers)Journal of Clinical Epidemiology (1 paper)Plant Cell Tissue and Organ Culture (PCTOC) (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yuting Wang
44 papers receiving 557 citations
Peers
Comparison fields: 5 of 116
- Management Science and Operations Research 51
- Electrical and Electronic Engineering 210
- Artificial Intelligence 103
- Computer Vision and Pattern Recognition 60
- Marketing 25
Countries citing papers authored by Yuting Wang
This map shows the geographic impact of Yuting 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 Yuting Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Wang more than expected).
Fields of papers citing papers by Yuting Wang
This network shows the impact of papers produced by Yuting 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 Yuting Wang. The network helps show where Yuting Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 181 | |
| 2 | 2024 | 38 | |
| 3 | 2022 | 29 | |
| 4 | 2018 | 27 | |
| 5 | 2019 | 23 | |
| 6 | 2019 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2010 | 18 | |
| 9 | 2019 | 17 | |
| 10 | 2023 | 16 | |
| 11 | 2007 | 16 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 13 | |
| 14 | 2006 | 12 | |
| 15 | 2012 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2014 | 10 | |
| 18 | 2021 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2021 | 6 |
About Yuting Wang
Yuting Wang is a scholar working on Molecular Biology, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 51 papers that have together received 579 indexed citations. Recurring topics across this work include Logic, programming, and type systems (6 papers), Parallel Computing and Optimization Techniques (4 papers), Plant biochemistry and biosynthesis (4 papers), Security and Verification in Computing (4 papers), Advanced MIMO Systems Optimization (3 papers), CRISPR and Genetic Engineering (2 papers), Topological Materials and Phenomena (2 papers) and Machine Fault Diagnosis Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (51 citations), Electrical and Electronic Engineering (210 citations), Artificial Intelligence (103 citations), Computer Vision and Pattern Recognition (60 citations) and Marketing (25 citations). Yuting Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Che Guan, Laurent Michel, Peter B. Luh, Zhong Shao, T.C.E. Cheng, Tsan‐Ming Choi, Xiaoping Xu, Dong Wang, Kexuan Tang and Gang Huang. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Frontiers in Plant Science, Physical review. B., Journal of Clinical Epidemiology and Plant Cell Tissue and Organ Culture (PCTOC).
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.