Ivan Malashin

772 citations
49 papers · 319 · h-index 11

Impact in

Papers in

Co-authors
В С Тынченко (47 shared papers)А. С. Бородулин (41 shared papers)Andrei Gantimurov (39 shared papers)Vladimir Nelyub (32 shared papers)Yadviga Tynchenko (5 shared papers)В В Кукарцев (5 shared papers)Tatyana Panfilova (4 shared papers)Xiaogang Wu (2 shared papers)
Journals
Polymers (12 papers)IEEE Access (8 papers)Sustainability (7 papers)Sensors (3 papers)Scientific Reports (3 papers)
Partner nations
RussiaChina

In The Last Decade

Ivan Malashin

39 papers receiving 309 citations

Peers

Ivan Malashin
Comparison fields: 5 of 85
  • Automotive Engineering 29
  • Industrial and Manufacturing Engineering 20
  • Energy Engineering and Power Technology 6
  • Mechanical Engineering 62
  • Polymers and Plastics 18
Replace Vladimir Nelyub with:
Vladimir Nelyub Russia
Sittiporn Channumsin Thailand
Chonglin Wang China
Thongchai Srinophakun Thailand
C. Naveen India
Mingi Kim South Korea
Jongkoo Lim South Korea
Minh Duc Le Vietnam
Xuebin Li China
Pengcheng Xu China
Ivan Malashin relative to Vladimir Nelyub Russia Vladimir Nelyub's profile →
Citations per field
00.5×1.5×
Vladimir Nelyub · 1×
Citations per year

Countries citing papers authored by Ivan Malashin

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Malashin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ivan Malashin, 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 Ivan Malashin Line = papers co-authored together Ivan Malashin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A Review
Polymers ·Ivan Malashin, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, А. С. Бородулин
202446
2
Estimation and Prediction of the Polymers’ Physical Characteristics Using the Machine Learning Models
Polymers ·Ivan Malashin, В С Тынченко, Vladimir A. Nelyub, А. С. Бородулин, Andrei Gantimurov
202326
3
Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
Polymers ·Ivan Malashin, D. A. Martysyuk, В С Тынченко, Andrei Gantimurov, А.В. Семиколенов, Vladimir Nelyub, А. С. Бородулин
202424
4
Boosting-Based Machine Learning Applications in Polymer Science: A Review
Polymers ·Ivan Malashin, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, А. С. Бородулин
202523
5
Predicting Sustainable Crop Yields: Deep Learning and Explainable AI Tools
Sustainability ·Ivan Malashin, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, А. С. Бородулин, Yadviga Tynchenko
202420
6
Support Vector Machines in Polymer Science: A Review
Polymers ·Ivan Malashin, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, А. С. Бородулин
202520
7
Machine Learning in 3D and 4D Printing of Polymer Composites: A Review
Polymers ·Ivan Malashin, Igor Masich, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, А. С. Бородулин, Dmitry Martysyuk, A.L. Galinovsky
202418
8
Physics-Informed Neural Networks in Polymers: A Review
Polymers ·Ivan Malashin, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, А. С. Бородулин
202518
9
Deep Learning Approach for Pitting Corrosion Detection in Gas Pipelines
Sensors ·Ivan Malashin, В С Тынченко, Vladimir Nelyub, А. С. Бородулин, Andrei Gantimurov, N. V. Krysko, N. A. Shchipakov, Д. М. Козлов, A. G. Kusyy, Dmitry Martysyuk, A.L. Galinovsky
202414
10
A Multi-Objective Optimization of Neural Networks for Predicting the Physical Properties of Textile Polymer Composite Materials
Polymers ·Ivan Malashin, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, А. С. Бородулин
202412
11
Flood Susceptibility Assessment in Urban Areas via Deep Neural Network Approach
Sustainability ·Tatyana Panfilova, В В Кукарцев, В С Тынченко, Yadviga Tynchenko, Oksana Kukartseva, I.I. Kleshko, Xiaogang Wu, Ivan Malashin
202411
12
Machine Learning in Polymeric Technical Textiles: A Review
Polymers ·Ivan Malashin, Dmitry Martysyuk, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, А. С. Бородулин, A. L. Galinovskiy
20258
13
Data-Driven Optimization of Discontinuous and Continuous Fiber Composite Processes Using Machine Learning: A Review
Polymers ·Ivan Malashin, Dmitry Martysyuk, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, А. С. Бородулин
20257
14
Predicting Tilapia Productivity in Geothermal Ponds: A Genetic Algorithm Approach for Sustainable Aquaculture Practices
Sustainability ·В С Тынченко, Oksana Kukartseva, Yadviga Tynchenko, В В Кукарцев, Tatyana Panfilova, Kirill Kravtsov, Xiaogang Wu, Ivan Malashin
20247
15
Mechanical Testing of Selective-Laser-Sintered Polyamide PA2200 Details: Analysis of Tensile Properties via Finite Element Method and Machine Learning Approaches
Polymers ·Ivan Malashin, D. A. Martysyuk, В С Тынченко, Vladimir Nelyub, А. С. Бородулин, A.L. Galinovsky
20246
16
Assessment of Anisotropic Acoustic Properties in Additively Manufactured Materials: Experimental, Computational, and Deep Learning Approaches
Sensors ·Ivan Malashin, В С Тынченко, Dmitry Martysyuk, N. A. Shchipakov, N. V. Krysko, Maxim Degtyarev, Vladimir Nelyub, Andrei Gantimurov, А. С. Бородулин, A.L. Galinovsky
20244
17
Landslide Assessment Classification Using Deep Neural Networks Based on Climate and Geospatial Data
Sustainability ·Yadviga Tynchenko, В В Кукарцев, В С Тынченко, Oksana Kukartseva, Tatyana Panfilova, Alexey Gladkov, Van-Linh Nguyen, Ivan Malashin
20244
18
Controlled Porosity of Selective Laser Melting-Produced Thermal Pipes: Experimental Analysis and Machine Learning Approach for Pore Recognition on Pipes Surfaces
Sensors ·Ivan Malashin, Dmitry Martysyuk, В С Тынченко, Vladimir Nelyub, А. С. Бородулин, Andrei Gantimurov, Anton V. Nisan, N. M. Novozhilov, В. В. Зеленцов, A. V. Filimonov, A.L. Galinovsky
20244
19
Deep learning for property prediction of natural fiber polymer composites
Scientific Reports ·Ivan Malashin, Dmitry Martysyuk, Vladimir Nelyub, А. С. Бородулин, Andrei Gantimurov, В С Тынченко
20254
20
Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports
Machine Learning and Knowledge Extraction ·Ivan Malashin, Igor Masich, В С Тынченко, Andrei Gantimurov, Vladimir Nelyub, А. С. Бородулин
20244

About Ivan Malashin

Ivan Malashin is a scholar working on Mechanical Engineering, Materials Chemistry, Artificial Intelligence, Computational Theory and Mathematics and Biomedical Engineering, having authored 49 papers that have together received 319 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Injection Molding Process and Properties (5 papers), Computational Drug Discovery Methods (5 papers), Additive Manufacturing Materials and Processes (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Fire effects on ecosystems (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Flood Risk Assessment and Management (2 papers). The work is most often cited by research in Automotive Engineering (29 citations), Industrial and Manufacturing Engineering (20 citations), Energy Engineering and Power Technology (6 citations), Mechanical Engineering (62 citations) and Polymers and Plastics (18 citations). Ivan Malashin has collaborated with scholars based in Russia and China. Frequent co-authors include В С Тынченко, А. С. Бородулин, Andrei Gantimurov, Vladimir Nelyub, Yadviga Tynchenko, В В Кукарцев, Tatyana Panfilova, Xiaogang Wu, K A Bashmur and S. A. Ambrozevich. Their work appears in journals such as Polymers, IEEE Access, Sustainability, Sensors and Scientific Reports.

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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