Kun Yu

1.9k citations
105 papers · 1.4k · h-index 19

Impact in

Papers in

    • Smart Grid Energy Management 40
    • Energy Load and Power Forecasting 15
    • Electric Power System Optimization 11
    • Integrated Energy Systems Optimization 8
    • Optimal Power Flow Distribution 8
    • Electric Vehicles and Infrastructure 7
    • Building Energy and Comfort Optimization 18

Kun Yu

91 papers receiving 1.4k citations

Peers

Kun Yu
Comparison fields: 5 of 106
  • Energy Engineering and Power Technology 66
  • Soil Science 193
  • Geochemistry and Petrology 106
  • Filtration and Separation 33
  • Catalysis 105
Replace Kumar Patchigolla with:
Kumar Patchigolla United Kingdom
Jungsu Park South Korea
Shamshad Ahmad India
Yanli Sun China
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Yuxing Han China
Xiaohui Lu China
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Kun Yu relative to Kumar Patchigolla United Kingdom Kumar Patchigolla's profile →
Citations per field
00.5×9.2×
Kumar Patchigolla · 1×
Citations per year

Countries citing papers authored by Kun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018199
2 2016110
3 201195
4 201888
5 202082
6 201567
7 201262
8 201748
9 201644
10 201742
11 202041
12 201835
13 201334
14 202228
15 202427
16 201922
17 201721
18 202221
19 201918
20 200916

About Kun Yu

Kun Yu is a scholar working on Electrical and Electronic Engineering, Building and Construction, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment and Mechanical Engineering, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Smart Grid Energy Management (40 papers), Building Energy and Comfort Optimization (18 papers), Energy Load and Power Forecasting (15 papers), Energy Efficiency and Management (13 papers), Electric Power System Optimization (11 papers), Integrated Energy Systems Optimization (8 papers), Optimal Power Flow Distribution (8 papers) and Electric Vehicles and Infrastructure (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (66 citations), Soil Science (193 citations), Geochemistry and Petrology (106 citations), Filtration and Separation (33 citations) and Catalysis (105 citations). Kun Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xingying Chen, Lei Gan, Qin’ge Dong, Hao Feng, Yuchen Yang, Luchen Wang, Jun Xie, Qingchun Yang, Hongyun Ma and Jordi Delgado Martín. Their work appears in journals such as IET Generation Transmission & Distribution, CSEE Journal of Power and Energy Systems, Water, International Journal of Electrical Power & Energy Systems and Frontiers in Energy Research.

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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