Ting Cui

603 citations
32 papers · 456 · h-index 10

Impact in

Papers in

Ting Cui

30 papers receiving 446 citations

Peers

Ting Cui
Comparison fields: 5 of 85
  • Biomaterials 61
  • Pharmaceutical Science 28
  • Agronomy and Crop Science 43
  • Nutrition and Dietetics 61
  • Plant Science 132
Replace Robert Adamski with:
Robert Adamski Poland
Xingkang Li China
Junfang Xia China
Shanmugam Sureshkumar South Korea
Laura Mihaela Ștefan Romania
Marta Tomczyńska‐Mleko Poland
Sunil Kumar Meena India
MAK Azad Bangladesh
Aida Kistaubayeva Kazakhstan
Hojae Yi United States
Ting Cui relative to Robert Adamski Poland Robert Adamski's profile →
Citations per field
00.5×9.3×
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201690
2 201568
3 202357
4 201452
5 201735
6 201523
7 201722
8 201815
9 201913
10 201412
11
Cotton moisture stress diagnosis based on canopy temperature characteristics calculated from UAV thermal infrared image.
20189
12 20157
13 20176
14 20245
15 20185
16 20145
17 20204
18 20194
19
Dynamic voltage decoupling control of power system based on wide area measurement information
20123
20 20193

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 32 papers that have together received 456 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (7 papers), Power System Optimization and Stability (6 papers), Power Systems and Renewable Energy (6 papers), HVDC Systems and Fault Protection (5 papers), Wind Turbine Control Systems (4 papers), Biofuel production and bioconversion (4 papers), Power Systems and Technologies (4 papers) and Catalysis for Biomass Conversion (3 papers). The work is most often cited by research in Biomaterials (61 citations), Pharmaceutical Science (28 citations), Agronomy and Crop Science (43 citations), Nutrition and Dietetics (61 citations) and Plant Science (132 citations). Ting Cui has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Huaxi Xiao, Qinlu Lin, Yue Wu, Yan‐Lei Du, Neil C. Turner, Jin He, Tao Wang, Feng‐Min Li, Shizhong Li and Menghui Yu. Their work appears in journals such as Energies, IEEE Transactions on Power Systems, Scientific Reports, RSC Advances and Food Research International.

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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