Ting Yuan

1.6k citations
72 papers · 1.3k indexed · h-index 23

Ting Yuan

66 papers receiving 1.3k citations

Peers

Ting Yuan
Comparison fields: 5 of 104
  • Renewable Energy, Sustainability and the Environment 532
  • Electrical and Electronic Engineering 753
  • Electrochemistry 53
  • Electronic, Optical and Magnetic Materials 155
  • Information Systems 136
Replace Bing Shao with:
Bing Shao China
Xinxin Jin China
Xiaoxue Li China
Weiping Wang China
Xinsheng Yang China
Narendra Singh India
Wenqi Liu China
Haoran Luo China
Suwon Lee South Korea
Ting Yuan relative to Bing Shao China Bing Shao's profile →
Citations per field
00.5×5.4×
Bing Shao · 1×
Citations per year

Countries citing papers authored by Ting Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Ting Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ting Yuan, 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 Yuan Line = papers co-authored together Ting Yuan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20245
3 20243
4 20210
5 2020102
6 202035
7 20206
8
Probabilistic Power Flow Research of Photovoltaic Grid-connected System Based on Stochastic Variable State Time Series Simulation
20190
9 20192
10 20162
11 20165
12 20157
13 201421
14 201435
15 20121
16 20129
17 201113
18
Information acquisition for cucumber harvesting robot in greenhouse.
20098
19 200952
20
ROBUST STABLE PERTURBATION BOUNDS OF OPTIMAL CONTROL SYSTEMS WITH DESIRED CLOSED LOOP POLES
20000

About Ting Yuan

Ting Yuan is a scholar working on Renewable Energy, Sustainability and the Environment, Software and Process Chemistry and Technology, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (24 papers), Electrocatalysts for Energy Conversion (23 papers), Advanced battery technologies research (12 papers), Recommender Systems and Techniques (9 papers), Advanced Battery Materials and Technologies (7 papers), Software Testing and Debugging Techniques (4 papers), Advancements in Solid Oxide Fuel Cells (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (532 citations), Electrical and Electronic Engineering (753 citations) and Electrochemistry (53 citations). Ting Yuan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hui Yang, Hui Yang, Zhiqing Zou, Qinghong Huang, Haifeng Zhang, Hanqing Lu, Xue‐Mei Li, Liangliang Zou, Jifu Zheng and Jian Cheng. Their work appears in journals such as Applied Physics Letters, Physical Review B and Journal of Power Sources.

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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