Jinsong Yu

1.6k total citations
69 papers, 1.2k citations indexed

About

Jinsong Yu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Jinsong Yu has authored 69 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 23 papers in Control and Systems Engineering and 18 papers in Artificial Intelligence. Recurrent topics in Jinsong Yu's work include Reliability and Maintenance Optimization (14 papers), Advanced Battery Technologies Research (12 papers) and Machine Fault Diagnosis Techniques (12 papers). Jinsong Yu is often cited by papers focused on Reliability and Maintenance Optimization (14 papers), Advanced Battery Technologies Research (12 papers) and Machine Fault Diagnosis Techniques (12 papers). Jinsong Yu collaborates with scholars based in China, United States and Australia. Jinsong Yu's co-authors include Diyin Tang, Yue Song, Jing Dai, Hao Liu, Viliam Makiš, Guangliang Chen, Shuang Liang, A. G. Agwu Nnanna, Jun Huang and Chaorong Li and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Industrial Electronics and ACS Applied Materials & Interfaces.

In The Last Decade

Jinsong Yu

63 papers receiving 1.2k citations

Peers

Jinsong Yu
Comparison fields: 5 of 95
  • Electrical and Electronic Engineering 438
  • Control and Systems Engineering 308
  • Safety, Risk, Reliability and Quality 250
  • Mechanical Engineering 203
  • Renewable Energy, Sustainability and the Environment 200
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Yujie Cheng China
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Yujie Cheng China View profile →
Citations per field, relative to Jinsong Yu
Jinsong Yu · 1×
Citations per year, relative to Jinsong Yu
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Countries citing papers authored by Jinsong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jinsong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinsong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinsong Yu. A scholar is included among the top collaborators of Jinsong Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinsong Yu. Jinsong Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 10
3 4
4 0
5 11
6 19
7 70
8 12
9 22
10 45
11 5
12 114
13 3
14 7
15 4
16 23
17 51
18 41
19
Robust Tracking of Maneuvering Target with Appearance Variation in Infrared Images Sequence
1
20 7

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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