Yan Kuchin

745 total citations · 1 hit paper
30 papers, 437 citations indexed

About

Yan Kuchin is a scholar working on Artificial Intelligence, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Yan Kuchin has authored 30 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Mechanical Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Yan Kuchin's work include Geochemistry and Geologic Mapping (11 papers), Mineral Processing and Grinding (10 papers) and Advanced Data Processing Techniques (5 papers). Yan Kuchin is often cited by papers focused on Geochemistry and Geologic Mapping (11 papers), Mineral Processing and Grinding (10 papers) and Advanced Data Processing Techniques (5 papers). Yan Kuchin collaborates with scholars based in Kazakhstan, Latvia and Slovakia. Yan Kuchin's co-authors include Ravil I. Mukhamediev, Kirill Yakunin, Адилхан Сымагулов, Elena Zaitseva, Vitaly Levashenko, Yelena Popova, Yedilkhan Amirgaliyev, Dmitry Sokolov, Jānis Grundspeņķis and A.G. Terekhov and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Remote Sensing.

In The Last Decade

Yan Kuchin

28 papers receiving 416 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges

2022 132 citations Ravil I. Mukhamediev, Yelena Popova et al. Mathematics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan Kuchin Kazakhstan	10	125	69	69	60	44	30	437
Ravil I. Mukhamediev Kazakhstan	11	126 1.0×	71 1.0×	88 1.3×	63 1.1×	32 0.7×	35	468
Kirill Yakunin Kazakhstan	10	123 1.0×	64 0.9×	70 1.0×	30 0.5×	31 0.7×	26	415
Адилхан Сымагулов Kazakhstan	8	97 0.8×	69 1.0×	82 1.2×	55 0.9×	24 0.5×	18	379
Alhassan Mumuni Ghana	7	137 1.1×	131 1.9×	41 0.6×	25 0.4×	38 0.9×	11	531
Fuseini Mumuni Ghana	7	137 1.1×	131 1.9×	41 0.6×	25 0.4×	39 0.9×	12	535
Phil Kim South Korea	6	123 1.0×	53 0.8×	48 0.7×	18 0.3×	37 0.8×	14	413
Zhuang Wu China	11	59 0.5×	37 0.5×	35 0.5×	48 0.8×	88 2.0×	78	481
Dong Xu China	13	44 0.4×	51 0.7×	48 0.7×	43 0.7×	57 1.3×	56	532
Maulana Azad Iran	6	110 0.9×	56 0.8×	19 0.3×	57 0.9×	55 1.3×	10	484

Countries citing papers authored by Yan Kuchin

Since Specialization

Citations

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

Fields of papers citing papers by Yan Kuchin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Kuchin

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Kuchin. A scholar is included among the top collaborators of Yan Kuchin 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 Yan Kuchin. Yan Kuchin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yakunin, Kirill, et al.. (2025). An Algorithm for Planning Coverage of an Area with Obstacles with a Heterogeneous Group of Drones Using a Genetic Algorithm and Parameterized Polygon Decomposition. Drones. 9(9). 658–658.

Mukhamediev, Ravil I., et al.. (2025). Fast Detection of Plants in Soybean Fields Using UAVs, YOLOv8x Framework, and Image Segmentation. Drones. 9(8). 547–547. 3 indexed citations

Mukhamediev, Ravil I., et al.. (2024). Classification of Logging Data Using Machine Learning Algorithms. Applied Sciences. 14(17). 7779–7779. 4 indexed citations

Mukhamediev, Ravil I., A.G. Terekhov, Yedilkhan Amirgaliyev, et al.. (2024). Using Pseudo-Color Maps and Machine Learning Methods to Estimate Long-Term Salinity of Soils. Agronomy. 14(9). 2103–2103. 6 indexed citations

Mukhamediev, Ravil I., Kirill Yakunin, Yelena Popova, et al.. (2024). Exploring the health care system’s representation in the media through hierarchical topic modeling. Cogent Engineering. 11(1).

Mukhamediev, Ravil I., Yan Kuchin, Yelena Popova, et al.. (2023). Determination of Reservoir Oxidation Zone Formation in Uranium Wells Using Ensemble Machine Learning Methods. Mathematics. 11(22). 4687–4687. 2 indexed citations

Kuchin, Yan, et al.. (2023). Application of Machine Learning Methods to Assess Filtration Properties of Host Rocks of Uranium Deposits in Kazakhstan. Applied Sciences. 13(19). 10958–10958. 5 indexed citations

Mukhamediev, Ravil I., Yedilkhan Amirgaliyev, Yan Kuchin, et al.. (2023). Operational Mapping of Salinization Areas in Agricultural Fields Using Machine Learning Models Based on Low-Altitude Multispectral Images. Drones. 7(6). 357–357. 11 indexed citations

Mukhamediev, Ravil I., A.G. Terekhov, Yedilkhan Amirgaliyev, et al.. (2023). Estimation of the Water Level in the Ili River from Sentinel-2 Optical Data Using Ensemble Machine Learning. Remote Sensing. 15(23). 5544–5544. 3 indexed citations

10.

Mukhamediev, Ravil I., Yelena Popova, Yan Kuchin, et al.. (2022). Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges. Mathematics. 10(15). 2552–2552. 132 indexed citations breakdown →

11.

Mukhamediev, Ravil I., et al.. (2022). Estimation of Filtration Properties of Host Rocks in Sandstone-Type Uranium Deposits Using Machine Learning Methods. IEEE Access. 10. 18855–18872. 10 indexed citations

12.

Mukhamediev, Ravil I., et al.. (2021). From Classical Machine Learning to Deep Neural Networks: A Simplified Scientometric Review. Applied Sciences. 11(12). 5541–5541. 32 indexed citations

13.

Yakunin, Kirill, Ravil I. Mukhamediev, Elena Zaitseva, et al.. (2021). Mass Media as a Mirror of the COVID-19 Pandemic. Computation. 9(12). 140–140. 6 indexed citations

14.

Yakunin, Kirill, et al.. (2021). KazNewsDataset: Single Country Overall Digital Mass Media Publication Corpus. Data. 6(3). 31–31. 4 indexed citations

15.

Mukhamediev, Ravil I., Адилхан Сымагулов, Yan Kuchin, et al.. (2021). Review of Some Applications of Unmanned Aerial Vehicles Technology in the Resource-Rich Country. Applied Sciences. 11(21). 10171–10171. 54 indexed citations

16.

Yakunin, Kirill, et al.. (2020). The use of machine learning “black boxes” explanation systems to improve the quality of school education. Cogent Engineering. 7(1). 13 indexed citations

17.

Mukhamediev, Ravil I., et al.. (2020). Classification of Negative Information on Socially Significant Topics in Mass Media. Symmetry. 12(12). 1945–1945. 11 indexed citations

18.

Kuchin, Yan, Ravil I. Mukhamediev, Kirill Yakunin, Jānis Grundspeņķis, & Адилхан Сымагулов. (2020). Assessing the Impact of Expert Labelling of Training Data on the Quality of Automatic Classification of Lithological Groups Using Artificial Neural Networks. SHILAP Revista de lepidopterología. 25(2). 145–152. 4 indexed citations

19.

Kuchin, Yan, Ravil I. Mukhamediev, & Kirill Yakunin. (2020). One method of generating synthetic data to assess the upper limit of machine learning algorithms performance. Cogent Engineering. 7(1). 14 indexed citations

20.

Amirgaliyev, Yedilkhan, et al.. (2014). Integration of Results from Recognition Algorithms Applied to the Uranium Deposits. Journal of Advanced Computational Intelligence and Intelligent Informatics. 18(3). 347–352. 6 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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