Антон Чепурненко

569 total citations
86 papers, 351 citations indexed

About

Антон Чепурненко is a scholar working on Materials Chemistry, Civil and Structural Engineering and Environmental Engineering. According to data from OpenAlex, Антон Чепурненко has authored 86 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Materials Chemistry, 32 papers in Civil and Structural Engineering and 17 papers in Environmental Engineering. Recurrent topics in Антон Чепурненко's work include Structural mechanics and materials (54 papers), Environmental and Industrial Safety (17 papers) and Material Properties and Applications (13 papers). Антон Чепурненко is often cited by papers focused on Structural mechanics and materials (54 papers), Environmental and Industrial Safety (17 papers) and Material Properties and Applications (13 papers). Антон Чепурненко collaborates with scholars based in Russia, Slovakia and India. Антон Чепурненко's co-authors include Batyr Yazyev, Vladimir I. Andreev, А. А. Савченко, Levon R. Mailyan, Alexey N. Beskopylny, Besarion Meskhi, Linar Sabitov, Evgenii M. Shcherban’, A.V. Klyuev and Sergey A. Stel’makh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Polymers and Applied Sciences.

In The Last Decade

Антон Чепурненко

71 papers receiving 344 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Антон Чепурненко Russia 10 255 117 83 76 71 86 351
Batyr Yazyev Russia 10 210 0.8× 61 0.5× 55 0.7× 67 0.9× 71 1.0× 69 272
Linar Sabitov Russia 10 50 0.2× 103 0.9× 97 1.2× 4 0.1× 13 0.2× 107 293
Dmitrijs Serdjuks Latvia 10 27 0.1× 158 1.4× 155 1.9× 9 0.1× 16 0.2× 62 269
Vahid Shobeiri Australia 10 41 0.2× 326 2.8× 185 2.2× 12 0.2× 2 0.0× 19 376
Shehab Mourad Saudi Arabia 15 25 0.1× 775 6.6× 558 6.7× 9 0.1× 5 0.1× 23 842
Abdulaziz Alaskar Saudi Arabia 12 42 0.2× 262 2.2× 149 1.8× 12 0.2× 3 0.0× 29 337
Sopokhem Lim Japan 11 207 0.8× 493 4.2× 204 2.5× 9 0.1× 5 0.1× 19 519
Yikun Cai China 11 216 0.8× 147 1.3× 12 0.1× 8 0.1× 28 358
Yalin Liu China 12 49 0.2× 361 3.1× 92 1.1× 13 0.2× 38 443

Countries citing papers authored by Антон Чепурненко

Since Specialization
Citations

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

Fields of papers citing papers by Антон Чепурненко

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Антон Чепурненко

This figure shows the co-authorship network connecting the top 25 collaborators of Антон Чепурненко. A scholar is included among the top collaborators of Антон Чепурненко based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Антон Чепурненко. Антон Чепурненко is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Чепурненко, Антон, et al.. (2025). Predicting the risk of early cracking in massive monolithic foundation slabs using artificial intelligence algorithms. Construction Materials and Products. 8(1). 6–6. 1 indexed citations
2.
Чепурненко, Антон, et al.. (2025). Machine Learning for Predicting Required Cross-Sectional Dimensions of Circular Concrete-Filled Steel Tubular Columns. Buildings. 15(9). 1438–1438.
3.
Чепурненко, Антон, et al.. (2024). Artificial Neural Network Models for Predicting the Early Cracking Risk in Massive Monolithic Foundation Slabs. The Open Civil Engineering Journal. 18(1). 2 indexed citations
4.
Чепурненко, Антон, et al.. (2024). Artificial Neural Network Models for Determining the Load-Bearing Capacity of Eccentrically Compressed Short Concrete-Filled Steel Tubular Columns. SHILAP Revista de lepidopterología. 5(1). 150–168. 6 indexed citations
5.
Чепурненко, Антон, et al.. (2024). Artificial intelligence model for predicting the load-bearing capacity of eccentrically compressed short concrete filled steel tubular columns. Construction Materials and Products. 7(2). 2–2. 4 indexed citations
6.
Чепурненко, Антон, et al.. (2024). Determination of Temperature Stresses during the Construction of Massive Monolithic Foundation Slabs, Taking into Account the Subgrade Compliance. The Open Civil Engineering Journal. 18(1). 1 indexed citations
7.
Чепурненко, Антон, et al.. (2024). Methodology for determining true temperature stresses during the construction of massive monolithic reinforced concrete structures. Construction Materials and Products. 7(3). 5–5. 2 indexed citations
8.
Чепурненко, Антон, et al.. (2024). Processing of nonlinear concrete creep curves using nonlinear optimization methods. Construction Materials and Products. 7(1). 2–2. 1 indexed citations
9.
Чепурненко, Антон, et al.. (2024). Prediction of the Strength of the Concrete-Filled Tubular Steel Columns Using the Artificial Intelligence. 3(3). 40–48. 1 indexed citations
10.
Чепурненко, Антон, et al.. (2023). Simplified Method for Calculating the Bearing Capacity of Slender Concrete-Filled Steel Tubular Columns. SHILAP Revista de lepidopterología. 4(3). 1000–1015. 4 indexed citations
11.
Чепурненко, Антон, et al.. (2023). Simplified Method for Determining Thermal Stresses during the Construction of Massive Monolithic Foundation Slabs. SHILAP Revista de lepidopterología. 4(3). 740–752. 2 indexed citations
12.
Чепурненко, Антон, et al.. (2023). Optimization of Rectangular and Box Sections in Oblique Bending and Eccentric Compression. Construction Materials and Products. 6(5). 2 indexed citations
13.
Чепурненко, Антон, et al.. (2023). Prediction of rheological parameters of polymers, using gradient boosting algorithm CatBoost. 21–29. 2 indexed citations
14.
Чепурненко, Антон, et al.. (2023). DETERMINATION OF CONCRETE RHEOLOGICAL PARAMETERS USING NONLINEAR OPTIMIZATION METHODS. International Journal for Computational Civil and Structural Engineering. 19(4). 147–154. 3 indexed citations
15.
Beskopylny, Alexey N., et al.. (2023). Detection and Dispersion Analysis of Water Globules in Oil Samples Using Artificial Intelligence Algorithms. Biomimetics. 8(3). 309–309. 2 indexed citations
16.
Чепурненко, Антон, et al.. (2023). Buckling of Rectangular Plates under Nonlinear Creep. SHILAP Revista de lepidopterología. 23(3). 257–268. 2 indexed citations
17.
Чепурненко, Антон, et al.. (2023). Calculation of soil slope stability using nonlinear optimization methods. Геология и геофизика Юга России. 1 indexed citations
18.
Чепурненко, Антон, et al.. (2023). Processing of Polymers Stress Relaxation Curves Using Machine Learning Methods. Baghdad Science Journal. 20(6(Suppl.)). 2488–2488. 2 indexed citations
19.
Чепурненко, Антон, et al.. (2021). Optimization of Thick-Walled Viscoelastic Hollow Polymer Cylinders by Artificial Heterogeneity Creation: Theoretical Aspects. Polymers. 13(15). 2408–2408. 1 indexed citations
20.
Yazyev, Batyr, et al.. (2014). CALCULATION OF THE THREE-LAYER PLATE BY THE METHOD OF FINAL ELEMENTS TAKING INTO ACCOUNT CREEP OF THE CENTRE. Herald of Dagestan State Technical University Technical Sciences. 33(2). 47–55. 3 indexed citations

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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