Hao Ming

464 citations
22 papers · 326 indexed · h-index 10

Impact in

Papers in

Hao Ming

20 papers receiving 320 citations

Peers

Hao Ming
Comparison fields: 5 of 40
  • Electrical and Electronic Engineering 297
  • Energy Engineering and Power Technology 15
  • Control and Systems Engineering 91
  • Renewable Energy, Sustainability and the Environment 49
  • Building and Construction 23
Replace Xinbo Geng with:
Xinbo Geng United States
M. Babar Netherlands
Mohammad Reza Salehizadeh Iran
Ciwei Gao China
Behdad Vatani United States
Liyang Han United Kingdom
Hieu Trung Nguyen United States
Antonio De Paola United Kingdom
Mauricio E. Samper Argentina
Mansour Charwand Iran
Hao Ming relative to Xinbo Geng United States Xinbo Geng's profile →
Citations per field
00.5×1.5×2.2×
Xinbo Geng · 1×
Citations per year

Countries citing papers authored by Hao Ming

Since Specialization
Citations

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

Fields of papers citing papers by Hao Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201767
2 202056
3 201937
4 202223
5 201722
6 202318
7 202218
8 202217
9 201416
10 201510
11 20189
12 20178
13 20155
14 20185
15 20225
16 20243
17 20223
18 20162
19 20241
20 20171

About Hao Ming

Hao Ming is a scholar working on Electrical and Electronic Engineering, Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Finance and Control and Systems Engineering, having authored 22 papers that have together received 326 indexed citations. Recurring topics across this work include Smart Grid Energy Management (16 papers), Electric Power System Optimization (10 papers), Energy Efficiency and Management (5 papers), Electric Vehicles and Infrastructure (4 papers), Optimal Power Flow Distribution (4 papers), Microgrid Control and Optimization (3 papers), Energy Load and Power Forecasting (3 papers) and Stochastic processes and financial applications (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (297 citations), Energy Engineering and Power Technology (15 citations), Control and Systems Engineering (91 citations), Renewable Energy, Sustainability and the Environment (49 citations) and Building and Construction (23 citations). Hao Ming has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Le Xie, Srinivas Shakkottai, P. R. Kumar, Marco C. Campi, Simone Garatti, Ciwei Gao, Tao Chen, Jianguo Yao, Xin Shi and Xinbo Geng. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Applied Energy, IEEE Transactions on Smart Grid, iScience and ACM SIGMETRICS Performance Evaluation Review.

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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