Xiaodong Liang

276 papers receiving 4.2k citations

Hit Papers

Machine Learning-Based Fault Diagnosis for Single- and Multi-Faults in Induction Motors Using Measured Stator Currents and Vibration Signals 2019 · 244 citations
2442016202620192022200400600

Peers

Xiaodong Liang
Comparison fields: 5 of 116
  • Energy Engineering and Power Technology 373
  • Control and Systems Engineering 2.6k
  • Electrical and Electronic Engineering 3.2k
  • Automotive Engineering 260
  • Safety, Risk, Reliability and Quality 180
Replace Bin Lü with:
Bin Lü Australia
Nand Kishor India
Abhisek Ukil Singapore
Li Wang Taiwan
Xiangning Lin China
Behrooz Vahidi Iran
Jesús C. Hernández Spain
G. W. Chang Taiwan
Ahmed Abu‐Siada Australia
James L. Kirtley United States
Xiaodong Liang relative to Bin Lü Australia Bin Lü's profile →
Citations per field
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Bin Lü · 1×
Citations per year

Countries citing papers authored by Xiaodong Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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Technology of optoelectronic aid landing system based on shipborne optoelectronic tracking equipment
20131
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Fault Diagnosis System of Rolling Bearings Based on LabVIEW
20100
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Strategy for next step oil & gas exploration in Northern Songliao Basin
20064

About Xiaodong Liang

Xiaodong Liang is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality and Ocean Engineering, having authored 302 papers that have together received 4.4k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (70 papers), Optimal Power Flow Distribution (38 papers), Power System Optimization and Stability (36 papers), Multilevel Inverters and Converters (31 papers), Machine Fault Diagnosis Techniques (27 papers), Smart Grid Energy Management (27 papers), Power System Reliability and Maintenance (27 papers) and Oil and Gas Production Techniques (25 papers). The work is most often cited by research in Energy Engineering and Power Technology (373 citations), Control and Systems Engineering (2.6k citations), Electrical and Electronic Engineering (3.2k citations), Automotive Engineering (260 citations) and Safety, Risk, Reliability and Quality (180 citations). Xiaodong Liang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Chowdhury Andalib-Bin-Karim, Huaguang Zhang, Md Nasmus Sakib Khan Shabbir, Mohammad Zawad Ali, Weixing Li, Yushuai Li, Bonan Huang, Pupu Chao, Yu Zhang and Ting Hu. Their work appears in journals such as IEEE Transactions on Industry Applications, IEEE Access, IEEE Transactions on Power Systems, IEEE Transactions on Energy Conversion and IEEE Transactions on Sustainable Energy.

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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