Yan Kuchin
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Environmental Engineering top 10%
- Soil Geostatistics and Mapping
Papers in
-
- Geochemistry and Geologic Mapping 12
- Advanced Text Analysis Techniques 4
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- Soil Geostatistics and Mapping 5
- Co-authors
- Ravil I. Mukhamediev (29 shared papers)Kirill Yakunin (16 shared papers)Адилхан Сымагулов (21 shared papers)Elena N. Zaitseva (10 shared papers)Vitaly Levashenko (10 shared papers)Marina Yelis (9 shared papers)Yelena Popova (9 shared papers)Yedilkhan N. Amirgaliyev (9 shared papers)
- Journals
- Applied Sciences (4 papers)Drones (3 papers)Remote Sensing (2 papers)IEEE Access (2 papers)Agronomy (1 paper)
- Partner nations
- KazakhstanLatviaSlovakia
In The Last Decade
Yan Kuchin
35 papers receiving 572 citations
Yan Kuchin's Hit Papers
Peers
Comparison fields: 5 of 131
- Health Informatics 27
- Environmental Engineering 76
- Artificial Intelligence 158
- Computer Vision and Pattern Recognition 83
- Aerospace Engineering 87
Countries citing papers authored by Yan Kuchin
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
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-authors
The 18 scholars most cited alongside Yan Kuchin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges Hit paper breakdown → | 2022 | 186 |
| 2 | 2023 | 84 | |
| 3 | 2021 | 64 | |
| 4 | 2021 | 43 | |
| 5 | 2023 | 24 | |
| 6 | 2020 | 17 | |
| 7 | 2020 | 14 | |
| 8 | 2015 | 14 | |
| 9 | 2023 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2014 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2014 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2012 | 6 | |
| 20 | 2024 | 5 |
About Yan Kuchin
Yan Kuchin is a scholar working on Artificial Intelligence, Environmental Engineering, General Social Sciences, Mechanical Engineering and Management of Technology and Innovation, having authored 36 papers that have together received 592 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (12 papers), Mineral Processing and Grinding (11 papers), Advanced Data Processing Techniques (6 papers), Soil Geostatistics and Mapping (5 papers), Economic and Technological Systems Analysis (4 papers), Advanced Text Analysis Techniques (4 papers), Computational and Text Analysis Methods (4 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Health Informatics (27 citations), Environmental Engineering (76 citations), Artificial Intelligence (158 citations), Computer Vision and Pattern Recognition (83 citations) and Aerospace Engineering (87 citations). Yan Kuchin has collaborated with scholars based in Kazakhstan, Latvia and Slovakia. Frequent co-authors include Ravil I. Mukhamediev, Kirill Yakunin, Адилхан Сымагулов, Elena N. Zaitseva, Vitaly Levashenko, Marina Yelis, Yelena Popova, Yedilkhan N. Amirgaliyev, Viktors I. Gopejenko and Dmitry Sokolov. Their work appears in journals such as Applied Sciences, Drones, Remote Sensing, IEEE Access and Agronomy.
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.