Sergey Ushakov

15 papers receiving 805 citations

Sergey Ushakov's Hit Papers

Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture 2018 · 405 citations
4050+2+5Years since publication100200300400

Peers

Sergey Ushakov
Comparison fields: 5 of 72
  • Medical Laboratory Technology 26
  • Fluid Flow and Transfer Processes 106
  • Safety, Risk, Reliability and Quality 151
  • Control and Systems Engineering 388
  • Automotive Engineering 160
Replace Yuan Zhuang with:
Yuan Zhuang China
S. Savio Italy
Massimo Figari Italy
Amir R. Nejad Norway
André Listou Ellefsen Norway
Çağlar Karatuğ Türkiye
Shuiting Ding China
Haoshu Cai United States
Sergey Ushakov relative to Yuan Zhuang China Yuan Zhuang's profile →
Citations per field
00.5×2×3×4.3×
Yuan Zhuang · 1×
Citations per year

Countries citing papers authored by Sergey Ushakov

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Ushakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Sergey Ushakov, 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 Sergey Ushakov Line = papers co-authored together Sergey Ushakov links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
Hit paper breakdown →
2018405
2 2019106
3 201979
4 201274
5 201926
6 201225
7 201417
8 201817
9 201917
10 201916
11 201914
12 201911
13 201211
14 20138
15
Particulate matter emissions from medium-speed marine diesel engines
20121
16 20190

About Sergey Ushakov

Sergey Ushakov is a scholar working on Automotive Engineering, Environmental Engineering, Biomedical Engineering, Fluid Flow and Transfer Processes and Control and Systems Engineering, having authored 16 papers that have together received 827 indexed citations. Recurring topics across this work include Vehicle emissions and performance (9 papers), Maritime Transport Emissions and Efficiency (8 papers), Biodiesel Production and Applications (6 papers), Advanced Combustion Engine Technologies (5 papers), Atmospheric chemistry and aerosols (3 papers), Machine Fault Diagnosis Techniques (3 papers), Air Quality and Health Impacts (2 papers) and Industrial Gas Emission Control (1 paper). The work is most often cited by research in Medical Laboratory Technology (26 citations), Fluid Flow and Transfer Processes (106 citations), Safety, Risk, Reliability and Quality (151 citations), Control and Systems Engineering (388 citations) and Automotive Engineering (160 citations). Sergey Ushakov has collaborated with scholars based in Norway. Frequent co-authors include Vilmar Æsøy, Houxiang Zhang, André Listou Ellefsen, Emil Bjørlykhaug, Nicolas Lefèbvre, David Robert Emberson, Terese Løvås, Xu Cheng and Eilif Pedersen. Their work appears in journals such as Journal of Marine Science and Technology, SAE international journal of fuels and lubricants, Fuel Processing Technology, Energy Conversion and Management and IEEE Transactions on Reliability.

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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