Li Jin

1.5k citations
62 papers · 1.1k · h-index 16

Impact in

Papers in

Li Jin

52 papers receiving 1.1k citations

Peers

Li Jin
Comparison fields: 5 of 71
  • Control and Systems Engineering 788
  • Energy Engineering and Power Technology 66
  • Electrical and Electronic Engineering 739
  • Computer Networks and Communications 262
  • Computational Theory and Mathematics 81
Replace Xing‐Chen Shangguan with:
Xing‐Chen Shangguan China
Shubhi Purwar India
J. De León-Morales Mexico
T.C. Yang United Kingdom
Dipayan Guha India
Sandeep Jain United States
Mohammad Reza Jahed‐Motlagh Iran
Chun Chen China
J. Winkelman United States
Li Jin relative to Xing‐Chen Shangguan China Xing‐Chen Shangguan's profile →
Citations per field
00.5×4.8×
Xing‐Chen Shangguan · 1×
Citations per year

Countries citing papers authored by Li Jin

Since Specialization
Citations

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

Fields of papers citing papers by Li Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020220
2 2021146
3 2019133
4 201293
5 202265
6 202065
7 202143
8 201639
9 202135
10 201822
11 202320
12 202317
13 202117
14 202117
15 202116
16 202215
17 202015
18 202013
19 202113
20 202212

About Li Jin

Li Jin is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Automotive Engineering, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Frequency Control in Power Systems (15 papers), Microgrid Control and Optimization (14 papers), Stability and Control of Uncertain Systems (11 papers), Power System Optimization and Stability (11 papers), Neural Networks Stability and Synchronization (9 papers), Vehicle Dynamics and Control Systems (7 papers), Stability and Controllability of Differential Equations (4 papers) and HVDC Systems and Fault Protection (4 papers). The work is most often cited by research in Control and Systems Engineering (788 citations), Energy Engineering and Power Technology (66 citations), Electrical and Electronic Engineering (739 citations), Computer Networks and Communications (262 citations) and Computational Theory and Mathematics (81 citations). Li Jin has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Yong He, Min Wu, Lin Jiang, Chuan‐Ke Zhang, Xing‐Chen Shangguan, J. W. Spencer, Zeng Liu, Jinjun Liu, Wei Yao and Sheng Du. Their work appears in journals such as Journal of the Franklin Institute, Control Engineering Practice, IEEE Transactions on Industrial Informatics, IEEE Transactions on Cybernetics and IEEE Transactions on Circuits & Systems II Express Briefs.

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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