Ting Yang
Impact in
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- Microgrid Control and Optimization
- Smart Grid Security and Resilience
Papers in
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- Smart Grid Energy Management 21
- Optical Network Technologies 9
- Advanced Optical Network Technologies 7
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- Smart Grid Security and Resilience 20
- Microgrid Control and Optimization 14
- Co-authors
- Albert Y. Zomaya (22 shared papers)Wei Li (17 shared papers)Liyuan Zhao (4 shared papers)Haibo Pen (13 shared papers)Zhaoxia Wang (3 shared papers)Jiying Shi (10 shared papers)Shiyong Wu (1 shared paper)Qiuming Gong (1 shared paper)
In The Last Decade
Ting Yang
101 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 97
- Energy Engineering and Power Technology 88
- Control and Systems Engineering 633
- Electrical and Electronic Engineering 1.0k
- Computer Networks and Communications 385
- Renewable Energy, Sustainability and the Environment 269
Countries citing papers authored by Ting Yang
This map shows the geographic impact of Ting Yang'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 Ting Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Yang more than expected).
Fields of papers citing papers by Ting Yang
This network shows the impact of papers produced by Ting Yang. 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 Ting Yang. The network helps show where Ting Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Yang, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 213 | |
| 2 | 2020 | 171 | |
| 3 | 2016 | 154 | |
| 4 | 2021 | 129 | |
| 5 | 2018 | 95 | |
| 6 | 2015 | 85 | |
| 7 | 2021 | 75 | |
| 8 | 2020 | 55 | |
| 9 | 2018 | 50 | |
| 10 | 2019 | 50 | |
| 11 | 2021 | 44 | |
| 12 | 2012 | 44 | |
| 13 | 2016 | 38 | |
| 14 | 2022 | 31 | |
| 15 | 2017 | 30 | |
| 16 | 2019 | 28 | |
| 17 | 2022 | 27 | |
| 18 | 2018 | 26 | |
| 19 | 2020 | 24 | |
| 20 | 2014 | 24 |
About Ting Yang
Ting Yang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 120 papers that have together received 1.9k indexed citations. Recurring topics across this work include Smart Grid Energy Management (21 papers), Smart Grid Security and Resilience (20 papers), Microgrid Control and Optimization (14 papers), Energy Efficient Wireless Sensor Networks (13 papers), Cloud Computing and Resource Management (10 papers), Optical Network Technologies (9 papers), Photovoltaic System Optimization Techniques (8 papers) and Advanced Optical Network Technologies (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (88 citations), Control and Systems Engineering (633 citations), Electrical and Electronic Engineering (1.0k citations), Computer Networks and Communications (385 citations) and Renewable Energy, Sustainability and the Environment (269 citations). Ting Yang has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Albert Y. Zomaya, Wei Li, Liyuan Zhao, Haibo Pen, Zhaoxia Wang, Jiying Shi, Shiyong Wu, Qiuming Gong, Liming Yin and Jian Zhao. Their work appears in journals such as Applied Energy, IEEE Transactions on Cloud Computing, IEEE Transactions on Instrumentation and Measurement, Energy Reports and Energies.
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.