Ting Cui

627 citations
34 papers · 496 · h-index 10

Impact in

Papers in

Ting Cui

31 papers receiving 483 citations

Peers

Ting Cui
Comparison fields: 5 of 85
  • Pharmaceutical Science 31
  • Nutrition and Dietetics 70
  • Agronomy and Crop Science 47
  • Biomaterials 61
  • Rehabilitation 25
Replace Robert Adamski with:
Robert Adamski Poland
Changyun Liu China
Junfang Xia China
Marta Tomczyńska‐Mleko Poland
Laura Mihaela Ștefan Romania
Mirosław Kasprzak Poland
Sunil Kumar Meena India
Shanmugam Sureshkumar South Korea
MAK Azad Bangladesh
Pogaku Ravindra Malaysia
Ting Cui relative to Robert Adamski Poland Robert Adamski's profile →
Citations per field
00.5×7.8×
Robert Adamski · 1×
Citations per year

Countries citing papers authored by Ting Cui

Since Specialization
Citations

This map shows the geographic impact of Ting Cui'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 Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Cui more than expected).

Fields of papers citing papers by Ting Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting Cui. 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 Cui. The network helps show where Ting Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Ting Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ting Cui Line = papers co-authored together Ting Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201697
2 201571
3 202365
4 201461
5 201738
6 201725
7 201523
8 201816
9 201414
10 201914
11
Cotton moisture stress diagnosis based on canopy temperature characteristics calculated from UAV thermal infrared image.
20189
12 20157
13 20246
14 20176
15 20145
16 20185
17 20204
18 20194
19 20193
20
Dynamic voltage decoupling control of power system based on wide area measurement information
20123

About Ting Cui

Ting Cui is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Biomedical Engineering, Energy Engineering and Power Technology and Molecular Biology, having authored 34 papers that have together received 496 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (7 papers), Power System Optimization and Stability (7 papers), Power Systems and Renewable Energy (6 papers), HVDC Systems and Fault Protection (5 papers), Wind Turbine Control Systems (4 papers), Power Systems and Technologies (4 papers), Biofuel production and bioconversion (4 papers) and Smart Grid and Power Systems (3 papers). The work is most often cited by research in Pharmaceutical Science (31 citations), Nutrition and Dietetics (70 citations), Agronomy and Crop Science (47 citations), Biomaterials (61 citations) and Rehabilitation (25 citations). Ting Cui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qinlu Lin, Yue Wu, Huaxi Xiao, Tao Wang, Neil C. Turner, Yan‐Lei Du, Jin He, Feng‐Min Li, Yue Xi and Xiang‐Wen Fang. Their work appears in journals such as Energies, Chinese Physics Letters, IET Generation Transmission & Distribution, Journal of Pharmaceutical Sciences and Fuel.

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.

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