Denis A. Pustokhin

2.1k total citations
55 papers, 1.2k citations indexed

About

Denis A. Pustokhin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Denis A. Pustokhin has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Denis A. Pustokhin's work include IoT and Edge/Fog Computing (6 papers), Stock Market Forecasting Methods (6 papers) and Network Security and Intrusion Detection (5 papers). Denis A. Pustokhin is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Stock Market Forecasting Methods (6 papers) and Network Security and Intrusion Detection (5 papers). Denis A. Pustokhin collaborates with scholars based in Russia, India and Saudi Arabia. Denis A. Pustokhin's co-authors include Irina V. Pustokhina, K. Shankar, Deepak Gupta, Ashish Khanna, Gia Nhu Nguyen, Mohamed Elhoseny, E. Laxmi Lydia, Gyanendra Prasad Joshi, R. Joshua Samuel Raj and Thavavel Vaiyapuri and has published in prestigious journals such as Scientific Reports, Environmental Pollution and IEEE Access.

In The Last Decade

Denis A. Pustokhin

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denis A. Pustokhin Russia 19 362 328 287 220 172 55 1.2k
Irina V. Pustokhina Russia 19 367 1.0× 330 1.0× 287 1.0× 227 1.0× 172 1.0× 63 1.3k
Arpit Jain India 22 263 0.7× 341 1.0× 315 1.1× 247 1.1× 174 1.0× 100 1.4k
Mikhail Zymbler Russia 9 281 0.8× 305 0.9× 188 0.7× 195 0.9× 176 1.0× 32 1.1k
Rajesh Kumar Dhanaraj India 22 473 1.3× 486 1.5× 389 1.4× 253 1.1× 198 1.2× 161 1.6k
Vinu Sundararaj India 10 316 0.9× 554 1.7× 340 1.2× 373 1.7× 324 1.9× 11 1.6k
Sultan S. Alshamrani Saudi Arabia 22 458 1.3× 344 1.0× 353 1.2× 267 1.2× 294 1.7× 113 1.7k
E. Laxmi Lydia India 18 374 1.0× 372 1.1× 225 0.8× 323 1.5× 143 0.8× 116 1.2k
K. Venkatachalam Czechia 23 713 2.0× 304 0.9× 343 1.2× 254 1.2× 278 1.6× 93 1.8k
Mukesh Soni India 22 472 1.3× 367 1.1× 174 0.6× 324 1.5× 210 1.2× 114 1.4k
Sudan Jha India 22 329 0.9× 308 0.9× 224 0.8× 324 1.5× 257 1.5× 76 1.6k

Countries citing papers authored by Denis A. Pustokhin

Since Specialization
Citations

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

Fields of papers citing papers by Denis A. Pustokhin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis A. Pustokhin. 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 Denis A. Pustokhin. The network helps show where Denis A. Pustokhin may publish in the future.

Co-authorship network of co-authors of Denis A. Pustokhin

This figure shows the co-authorship network connecting the top 25 collaborators of Denis A. Pustokhin. A scholar is included among the top collaborators of Denis A. Pustokhin 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 Denis A. Pustokhin. Denis A. Pustokhin 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.
Pustokhin, Denis A., et al.. (2025). Metaparameter optimized hybrid deep learning model for next generation cybersecurity in software defined networking environment. Scientific Reports. 15(1). 14166–14166. 2 indexed citations
2.
Sengan, Sudhakar, et al.. (2023). Effective Scheduling of Multi-Load Automated Guided Vehicle in Spinning Mill: A Case Study. IEEE Access. 11. 9389–9402. 17 indexed citations
3.
Pustokhina, Irina V. & Denis A. Pustokhin. (2023). A Comparative Analysis of Traditional Forecasting Methods and Machine Learning Techniques for Sales Prediction in E-commerce. 10(2). 39–51. 1 indexed citations
4.
Romero, Carlos Andrés Tavera, et al.. (2022). Fuzzy and SVM Based Classification Model to Classify Spectral Objects in Sloan Digital Sky. IEEE Access. 10. 101276–101291. 1 indexed citations
5.
Sengan, Sudhakar, et al.. (2022). A hybrid learning model for efficient classification of Land Use and land change from satellite images. Physics and Chemistry of the Earth Parts A/B/C. 128. 103284–103284. 7 indexed citations
6.
Pustokhin, Denis A. & Irina V. Pustokhina. (2022). Statistical Machine Learning Model and Commodity Futures Volatility Information for Financial Stock Market Forecasting. 7(2). 32–40. 2 indexed citations
7.
Ramalakshmi, R., et al.. (2022). Prediction of influencing atmospheric conditions for explosion Avoidance in fireworks manufacturing Industry-A network approach. Environmental Pollution. 304. 119182–119182. 5 indexed citations
8.
Pustokhina, Irina V. & Denis A. Pustokhin. (2022). An Intelligent Neutrosophic Model for Evaluation Sustainable Housing Affordability. 2(2). 45–53. 2 indexed citations
9.
Lydia, E. Laxmi, et al.. (2022). An Optimal Deep Learning for Cooperative Intelligent Transportation System. Computers, materials & continua/Computers, materials & continua (Print). 72(1). 19–35. 4 indexed citations
10.
Dutta, Ashit Kumar, et al.. (2022). Hybrid Deep Learning Enabled Air Pollution Monitoring in ITS Environment. Computers, materials & continua/Computers, materials & continua (Print). 72(1). 1157–1172. 5 indexed citations
11.
Pustokhina, Irina V., Denis A. Pustokhin, B. T. Geetha, et al.. (2021). An improved gradient boosting tree algorithm for financial risk management. Knowledge Management Research & Practice. 1–12. 7 indexed citations
12.
Pustokhina, Irina V., Denis A. Pustokhin, Sachi Nandan Mohanty, Paulo Alonso Gaona-García, & Vicente García‐Díaz. (2021). Correction to: Artificial intelligence assisted Internet of Things based financial crisis prediction in FinTech environment. Annals of Operations Research. 332(1-3). 1211–1212. 3 indexed citations
13.
Metawa, Noura, Irina V. Pustokhina, Denis A. Pustokhin, K. Shankar, & Mohamed Elhoseny. (2021). Computational Intelligence-Based Financial Crisis Prediction Model Using Feature Subset Selection with Optimal Deep Belief Network. Big Data. 9(2). 100–115. 16 indexed citations
14.
Dutta, Ashit Kumar, et al.. (2021). Design of QoS Aware Routing Protocol for IoT Assisted Clustered WSN. Computers, materials & continua/Computers, materials & continua (Print). 71(2). 3785–3801. 11 indexed citations
15.
Pustokhina, Irina V., et al.. (2021). Hyperparameter search based convolution neural network with Bi-LSTM model for intrusion detection system in multimedia big data environment. Multimedia Tools and Applications. 81(24). 34951–34968. 21 indexed citations
16.
Shankar, K., et al.. (2021). High Security for De-Duplicated Big Data Using Optimal SIMON Cipher. Computers, materials & continua/Computers, materials & continua (Print). 67(2). 1863–1879. 7 indexed citations
17.
Dhanasekaran, S., et al.. (2021). An Intelligent Deep Learning Based Xception Model for Hyperspectral Image Analysis and Classification. Computers, materials & continua/Computers, materials & continua (Print). 67(2). 2393–2407. 6 indexed citations
18.
Pustokhina, Irina V., Denis A. Pustokhin, Joel J. P. C. Rodrigues, et al.. (2020). Automatic Vehicle License Plate Recognition Using Optimal K-Means With Convolutional Neural Network for Intelligent Transportation Systems. IEEE Access. 8. 92907–92917. 104 indexed citations
19.
Al‐Turjman, Fadi, et al.. (2020). Deep Learning Enabled Data Offloading With Cyber Attack Detection Model in Mobile Edge Computing Systems. IEEE Access. 8. 185938–185949. 28 indexed citations
20.
Pustokhin, Denis A., et al.. (2020). An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19. Journal of Applied Statistics. 50(3). 477–494. 48 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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