Zhen Hao

505 citations
28 papers · 343 · h-index 7

Impact in

Papers in

Zhen Hao

25 papers receiving 338 citations

Peers

Zhen Hao
Comparison fields: 5 of 58
  • Energy Engineering and Power Technology 37
  • Artificial Intelligence 164
  • Renewable Energy, Sustainability and the Environment 73
  • Electrical and Electronic Engineering 216
  • Management Science and Operations Research 41
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H. J. Lu Taiwan
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Xavier Serrano‐Guerrero Ecuador
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Zhen Hao

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021156
2 202055
3 201933
4 202017
5 202414
6 202411
7 202410
8 20246
9 20146
10 20245
11 20234
12 20144
13 20213
14 20243
15 20242
16 20242
17 20252
18 20252
19
Analysis on the temperature characteristics of power transformer insulation resistance
20111
20 20251

About Zhen Hao

Zhen Hao is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Mechanics of Materials, Building and Construction and Automotive Engineering, having authored 28 papers that have together received 343 indexed citations. Recurring topics across this work include Advanced Sensor and Control Systems (6 papers), Numerical methods in engineering (4 papers), Traffic Prediction and Management Techniques (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Energy Load and Power Forecasting (3 papers), Power Transformer Diagnostics and Insulation (3 papers), Traffic and Road Safety (3 papers) and Metal Forming Simulation Techniques (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (37 citations), Artificial Intelligence (164 citations), Renewable Energy, Sustainability and the Environment (73 citations), Electrical and Electronic Engineering (216 citations) and Management Science and Operations Research (41 citations). Zhen Hao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Keke Wang, Dongxiao Niu, Xiaomin Xu, Zhengsen Ji, Min Yu, Yi Liang, Lijie Sun, Jidong Yang, Gejirifu De and Jian Liu. Their work appears in journals such as Engineering Fracture Mechanics, Sustainability, Expert Systems with Applications, Computer Methods in Applied Mechanics and Engineering and Diabetes Obesity and Metabolism.

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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