Sergey Ushakov

15 papers receiving 754 citations

Sergey Ushakov's Hit Papers

Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture 2018 · 378 citations
3780+2+5Years since publication100200300

Peers

Sergey Ushakov
Comparison fields: 5 of 71
  • Medical Laboratory Technology 26
  • Fluid Flow and Transfer Processes 102
  • Safety, Risk, Reliability and Quality 148
  • Control and Systems Engineering 370
  • Automotive Engineering 152
Replace Massimo Figari with:
Massimo Figari Italy
André Listou Ellefsen Norway
Amir R. Nejad Norway
Çağlar Karatuğ Türkiye
Michele Martelli Italy
Haoshu Cai United States
Shuiting Ding China
Marco Altosole Italy
Sergey Ushakov relative to Massimo Figari Italy Massimo Figari's profile →
Citations per field
00.5×6.5×
Massimo Figari · 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 →
2018378
2 201996
3 201975
4 201273
5 201926
6 201224
7 201817
8 201916
9 201415
10 201915
11 201913
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 779 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 Reliability and Maintenance Optimization (1 paper). The work is most often cited by research in Medical Laboratory Technology (26 citations), Fluid Flow and Transfer Processes (102 citations), Safety, Risk, Reliability and Quality (148 citations), Control and Systems Engineering (370 citations) and Automotive Engineering (152 citations). Sergey Ushakov has collaborated with scholars based in Norway. Frequent co-authors include Vilmar Æsøy, André Listou Ellefsen, Houxiang Zhang, Emil Bjørlykhaug, Nicolas Lefèbvre, Terese Løvås, Xu Cheng, David Robert Emberson 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, Transportation Research Part D Transport and Environment and Reliability Engineering & System Safety.

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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