Lin Guan

1.6k citations
92 papers · 1.1k · h-index 17

Impact in

Papers in

Lin Guan

81 papers receiving 1.0k citations

Peers

Lin Guan
Comparison fields: 5 of 74
  • Control and Systems Engineering 416
  • Energy Engineering and Power Technology 50
  • Electrical and Electronic Engineering 902
  • Safety, Risk, Reliability and Quality 138
  • Artificial Intelligence 181
Replace Dongyuan Shi with:
Dongyuan Shi China
Nantian Huang China
Spyros Chatzivasileiadis Denmark
D. Villacci Italy
Meng Yue United States
B Rajanarayan Prusty India
Keyou Wang China
Nikita Tomin Russia
Ryuichi Yokoyama Japan
Xueshan Han China
Lin Guan relative to Dongyuan Shi China Dongyuan Shi's profile →
Citations per field
00.5×1.5×
Dongyuan Shi · 1×
Citations per year

Countries citing papers authored by Lin Guan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019201
2 202080
3 201470
4 201255
5 201738
6 202134
7 202130
8 200828
9 199628
10 202127
11 201627
12 201725
13 201623
14 201822
15 199721
16 202121
17 201418
18 202015
19 202314
20 201713

About Lin Guan

Lin Guan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Energy Engineering and Power Technology and Artificial Intelligence, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include Power System Optimization and Stability (33 papers), Optimal Power Flow Distribution (24 papers), Microgrid Control and Optimization (20 papers), HVDC Systems and Fault Protection (19 papers), Smart Grid and Power Systems (18 papers), Power System Reliability and Maintenance (17 papers), Power Systems and Renewable Energy (13 papers) and High-Voltage Power Transmission Systems (11 papers). The work is most often cited by research in Control and Systems Engineering (416 citations), Energy Engineering and Power Technology (50 citations), Electrical and Electronic Engineering (902 citations), Safety, Risk, Reliability and Quality (138 citations) and Artificial Intelligence (181 citations). Lin Guan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Junbo Zhang, Yao Liu, Yao Sun, Minghui Zheng, Zhangjie Liu, Hua Han, C. Y. Chung, Xiangtian Zheng, Zejing Wang and Liang Wu. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, IEEE Transactions on Power Systems, IEEE Access, Electronics and IET Generation Transmission & Distribution.

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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