Hui Jiang

2.9k citations
95 papers · 2.2k · 1 hit paper · h-index 22

Impact in

Papers in

Hui Jiang

92 papers receiving 2.2k citations

Hui Jiang's Hit Papers

Deep learning based ensemble approach for probabilistic wind power forecasting 2016 · 604 citations
6040+3+6Years since publication200400600

Peers

Hui Jiang
Comparison fields: 5 of 104
  • Energy Engineering and Power Technology 137
  • Electrical and Electronic Engineering 1.6k
  • Control and Systems Engineering 588
  • Artificial Intelligence 656
  • Automotive Engineering 180
Replace Jianchun Peng with:
Jianchun Peng China
Sheraz Aslam Cyprus
Mingjian Cui United States
Roberto Napoli Italy
Wenlong Liao China
M. Fesanghary United States
Weicong Kong Australia
Zengqiang Mi China
Jianhua Zhang China
Abdollah Kavousi‐Fard Iran
Hui Jiang relative to Jianchun Peng China Jianchun Peng's profile →
Citations per field
00.5×3.5×
Jianchun Peng · 1×
Citations per year

Countries citing papers authored by Hui Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Hui Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning based ensemble approach for probabilistic wind power forecasting
Hit paper breakdown →
2016604
2 2017316
3 2016172
4 202063
5 202059
6 201958
7 201951
8 201746
9 201945
10 201739
11 201738
12 201738
13 202437
14 202136
15 201732
16 201930
17 201930
18 202027
19 201926
20 201826

About Hui Jiang

Hui Jiang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Signal Processing and Energy Engineering and Power Technology, having authored 95 papers that have together received 2.2k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (18 papers), Optimal Power Flow Distribution (15 papers), Electric Power System Optimization (13 papers), Speech and Audio Processing (11 papers), HVDC Systems and Fault Protection (9 papers), Smart Grid Energy Management (8 papers), Power System Optimization and Stability (8 papers) and Energy Load and Power Forecasting (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (137 citations), Electrical and Electronic Engineering (1.6k citations), Control and Systems Engineering (588 citations), Artificial Intelligence (656 citations) and Automotive Engineering (180 citations). Hui Jiang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jianchun Peng, Yitao Liu, Huaizhi Wang, Guibin Wang, Gangqiang Li, Wenxin Liu, Yihui Wang, Yan Zhang, Min Gao and Saddam Aziz. Their work appears in journals such as IEEE Access, IEEE Transactions on Industrial Informatics, Energies, IEEE Transactions on Audio Speech and Language Processing 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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