Lin Niu

406 citations
65 papers · 268 · h-index 8

Impact in

Papers in

Lin Niu

52 papers receiving 251 citations

Peers

Lin Niu
Comparison fields: 5 of 54
  • Control and Systems Engineering 125
  • Safety, Risk, Reliability and Quality 29
  • Electrical and Electronic Engineering 137
  • Energy Engineering and Power Technology 5
  • Management Science and Operations Research 13
Replace A. Banerjee with:
A. Banerjee India
Kaushik Paul India
Bernard Knueven United States
Xinbo Geng United States
Akbar Ebrahimi Iran
Haroldo de Faria Brazil
Hao Bai China
Kun-Yuan Huang Taiwan
Shengfei Yin United States
H.K. Temraz Egypt
Lin Niu relative to A. Banerjee India A. Banerjee's profile →
Citations per field
00.5×3.7×
A. Banerjee · 1×
Citations per year

Countries citing papers authored by Lin Niu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202143
2 201531
3 201429
4 200512
5 202410
6
Application of support vector regression model based on phase space reconstruction to power system wide-area stability prediction
20079
7 20058
8 20088
9 20217
10 20246
11 20096
12 20235
13 20225
14 20125
15 20125
16 20204
17 20144
18 20244
19 20184
20 20114

About Lin Niu

Lin Niu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Safety, Risk, Reliability and Quality and Materials Chemistry, having authored 65 papers that have together received 268 indexed citations. Recurring topics across this work include Smart Grid and Power Systems (11 papers), High-Voltage Power Transmission Systems (10 papers), Adaptive Control of Nonlinear Systems (7 papers), Advanced Decision-Making Techniques (6 papers), Power System Optimization and Stability (6 papers), Neural Networks and Applications (6 papers), Power System Reliability and Maintenance (6 papers) and Advanced Computational Techniques and Applications (5 papers). The work is most often cited by research in Control and Systems Engineering (125 citations), Safety, Risk, Reliability and Quality (29 citations), Electrical and Electronic Engineering (137 citations), Energy Engineering and Power Technology (5 citations) and Management Science and Operations Research (13 citations). Lin Niu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guiqing Wu, Jianguo Zhao, Shijie Cheng, Xiaosheng Peng, Jie Zhan, Lei Wang, Qing Chen, Li Zhang, Xueshan Han and Ke‐Jun Li. Their work appears in journals such as IEEE Transactions on Dielectrics and Electrical Insulation, Journal of Molecular Liquids, Ceramics International, IET Generation Transmission & Distribution and New Journal of Chemistry.

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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