Shaobing Yang

34 papers receiving 358 citations

Peers

Shaobing Yang
Comparison fields: 5 of 41
  • Industrial and Manufacturing Engineering 169
  • Automotive Engineering 125
  • Electrical and Electronic Engineering 281
  • Energy Engineering and Power Technology 14
  • Control and Systems Engineering 87
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Bassam Mohamed Spain
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Kejian Song China
Hamed Jafari Kaleybar Italy
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Yinbo Ge China
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Yuanli Liu China
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Citations per year

Countries citing papers authored by Shaobing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shaobing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201964
2 201456
3 201732
4 200928
5 201928
6 201823
7 202022
8 201817
9 201914
10 20209
11 20248
12
A Load Probability Model for Electrified Railway Traction Substations
20106
13 20156
14 20206
15 20106
16 20235
17 20235
18 20235
19 20145
20 20225

About Shaobing Yang

Shaobing Yang is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Control and Systems Engineering and Automotive Engineering, having authored 37 papers that have together received 376 indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (21 papers), Electrical Contact Performance and Analysis (9 papers), Railway Engineering and Dynamics (8 papers), Electric Vehicles and Infrastructure (6 papers), Smart Grid Energy Management (6 papers), Advanced Battery Technologies Research (5 papers), Electric and Hybrid Vehicle Technologies (5 papers) and Microgrid Control and Optimization (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (169 citations), Automotive Engineering (125 citations), Electrical and Electronic Engineering (281 citations), Energy Engineering and Power Technology (14 citations) and Control and Systems Engineering (87 citations). Shaobing Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Mingli Wu, Kejian Song, Qiujiang Liu, Jiuchun Jiang, Georgios Konstantinou, Vassilios G. Agelidis, Guangli Zhu, Jin Wang, He Li and Yazan M. Alsmadi. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Energies, IEEE Access, Electric Power Systems Research and IEEE Transactions on Industrial Electronics.

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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