Huan Long

57 papers receiving 1.4k citations

Hit Papers

Wind Turbine Gearbox Failure Identification With Deep Neural Networks 2016 · 285 citations
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Peers

Huan Long
Comparison fields: 5 of 96
  • Control and Systems Engineering 527
  • Energy Engineering and Power Technology 68
  • Renewable Energy, Sustainability and the Environment 245
  • Electrical and Electronic Engineering 852
  • Safety, Risk, Reliability and Quality 132
Replace Wenlong Liao with:
Wenlong Liao China
Alberto Pliego Marugán Spain
Debashisha Jena India
Mahdi Khodayar United States
Mingjian Cui United States
Bowen Zhou China
Hao Quan China
Hui Jiang China
Ke Meng Australia
H.M.I. Pousinho Portugal
Huan Long relative to Wenlong Liao China Wenlong Liao's profile →
Citations per field
00.5×10×20×30×37.5×
Wenlong Liao · 1×
Citations per year

Countries citing papers authored by Huan Long

Since Specialization
Citations

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

Fields of papers citing papers by Huan Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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About Huan Long

Huan Long is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (18 papers), Solar Radiation and Photovoltaics (15 papers), Smart Grid Energy Management (12 papers), Machine Fault Diagnosis Techniques (8 papers), Optimal Power Flow Distribution (8 papers), Machine Learning and ELM (7 papers), Photovoltaic System Optimization Techniques (7 papers) and Wind Energy Research and Development (6 papers). The work is most often cited by research in Control and Systems Engineering (527 citations), Energy Engineering and Power Technology (68 citations), Renewable Energy, Sustainability and the Environment (245 citations), Electrical and Electronic Engineering (852 citations) and Safety, Risk, Reliability and Quality (132 citations). Huan Long has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zijun Zhang, Wei Gu, Long Wang, Jia Xu, Ruihua Liu, Yan Su, Zhe Song, Linwei Sang, Yong Wang and Shengxiang Yang. Their work appears in journals such as IEEE Transactions on Sustainable Energy, Journal of Modern Power Systems and Clean Energy, Energy, IEEE Transactions on Power 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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