Guanjun Li

713 citations
46 papers · 563 · h-index 13

Impact in

Papers in

Guanjun Li

38 papers receiving 556 citations

Peers

Guanjun Li
Comparison fields: 5 of 89
  • Statistical and Nonlinear Physics 144
  • Modeling and Simulation 39
  • Control and Systems Engineering 186
  • Computer Networks and Communications 129
  • Energy Engineering and Power Technology 13
Replace Yannan Sun with:
Yannan Sun United States
Baoxian Wang China
K. Udhayakumar India
Xin Gao China
Wei Dang China
Han Long China
Xueliang Liu China
Sun Yi United States
Jianhua Zhang China
Guanjun Li relative to Yannan Sun United States Yannan Sun's profile →
Citations per field
00.5×1.5×2.2×
Yannan Sun · 1×
Citations per year

Countries citing papers authored by Guanjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Guanjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201694
2 201768
3 202258
4 202252
5 201729
6 201726
7 201726
8 201723
9 201621
10 201618
11 202114
12 201913
13 202313
14 201412
15 202310
16 202310
17 20147
18 20247
19 20226
20 20226

About Guanjun Li

Guanjun Li is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 46 papers that have together received 563 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (12 papers), Chaos control and synchronization (7 papers), Power Systems and Renewable Energy (7 papers), Neural Networks Stability and Synchronization (6 papers), Islanding Detection in Power Systems (4 papers), HVDC Systems and Fault Protection (4 papers), Urban Green Space and Health (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (144 citations), Modeling and Simulation (39 citations), Control and Systems Engineering (186 citations), Computer Networks and Communications (129 citations) and Energy Engineering and Power Technology (13 citations). Guanjun Li has collaborated with scholars based in China, Saudi Arabia and Australia. Frequent co-authors include Heng Liu, Sheng-Gang Li, Hongxing Wang, Jinde Cao, Fuad E. Alsaadi, Ahmed Alsaedi, Wen‐Yong Lai, Chen Liu, Chongyang Liu and Shi Wang. Their work appears in journals such as Applied Sciences, Advances in Difference Equations, Scientific Reports, The Journal of Engineering and Complexity.

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.

Explore authors with similar magnitude of impact