Long Wang

8.4k citations
212 papers · 6.7k · 3 hit papers · h-index 38

Impact in

Papers in

Long Wang

197 papers receiving 6.5k citations

Long Wang's Hit Papers

Wind Turbine Gearbox Failure Identification With Deep Neural Networks 2016 · 285 citations
2850+4+9Years since publication2505007501000

Peers

Long Wang
Comparison fields: 5 of 167
  • Electrical and Electronic Engineering 3.7k
  • Automotive Engineering 686
  • Control and Systems Engineering 954
  • Artificial Intelligence 1.3k
  • Energy Engineering and Power Technology 117
Replace Chen Lü with:
Chen Lü China
Qiang Yang China
Peng Zhang China
Kang Li United Kingdom
Chunwei Zhang China
Zhe Zhang China
Zbigniew Leonowicz Poland
Bin Li China
M. A. Parvez Mahmud Australia
Loi Lei Lai China
Long Wang relative to Chen Lü China Chen Lü's profile →
Citations per field
00.5×3.7×
Chen Lü · 1×
Citations per year

Countries citing papers authored by Long Wang

Since Specialization
Citations

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

Fields of papers citing papers by Long Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prussian blue: a new framework of electrode materials for sodium batteries
Hit paper breakdown →
20121012
2
A Superior Low‐Cost Cathode for a Na‐Ion Battery
Hit paper breakdown →
2013778
3
Wind Turbine Gearbox Failure Identification With Deep Neural Networks
Hit paper breakdown →
2016285
4 2017220
5 2018216
6 2008182
7 2017179
8 2020173
9 2020168
10 2016146
11 2016137
12 2018116
13 2017113
14 2013102
15 201390
16 201886
17 202184
18 201883
19 201783
20 201879

About Long Wang

Long Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Renewable Energy, Sustainability and the Environment, having authored 212 papers that have together received 6.7k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (20 papers), Photovoltaic System Optimization Techniques (19 papers), Solar Radiation and Photovoltaics (15 papers), Machine Fault Diagnosis Techniques (15 papers), Microgrid Control and Optimization (12 papers), Electric Power System Optimization (9 papers), solar cell performance optimization (8 papers) and Advanced Battery Technologies Research (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (3.7k citations), Automotive Engineering (686 citations), Control and Systems Engineering (954 citations), Artificial Intelligence (1.3k citations) and Energy Engineering and Power Technology (117 citations). Long Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zijun Zhang, Chao Huang, John B. Goodenough, Yuhao Lu, Jinguang Cheng, Xiong Luo, Maowen Xu, Dawei Zhang, Jue Liu and Jia Xu. Their work appears in journals such as IEEE Internet of Things Journal, Optik, Frontiers in Energy Research, IEEE Access and IEEE Transactions on Power Systems.

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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