T. Baidyk

25 papers receiving 268 citations

Peers

T. Baidyk
Comparison fields: 5 of 55
  • Industrial and Manufacturing Engineering 46
  • Computer Vision and Pattern Recognition 75
  • Artificial Intelligence 82
  • Media Technology 18
  • Mechanical Engineering 76
Replace Yong-Lin Kuo with:
Yong-Lin Kuo Taiwan
Haikuo Shen China
Shaosheng Fan China
Wei‐Yao Chiu Taiwan
Ömer Aydoğdu Türkiye
Carlos Rodríguez-Donate Mexico
Jingfeng Mao China
Yanzhao Su China
V. Tipsuwanporn Thailand
Hualiang Zhang China
T. Baidyk relative to Yong-Lin Kuo Taiwan Yong-Lin Kuo's profile →
Citations per field
00.5×4.8×
Yong-Lin Kuo · 1×
Citations per year

Countries citing papers authored by T. Baidyk

Since Specialization
Citations

This map shows the geographic impact of T. Baidyk'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 T. Baidyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Baidyk more than expected).

Fields of papers citing papers by T. Baidyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside T. Baidyk, 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 T. Baidyk Line = papers co-authored together T. Baidyk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200273
2 200643
3 200335
4 200231
5 200613
6 200411
7 200511
8 20079
9 20049
10 20039
11
Development of micro mirror solar concentrator
20078
12 20088
13 20047
14 20025
15 20055
16 19925
17 19993
18
Support frame for micro facet solar concentrator
20072
19 20062
20 20092

About T. Baidyk

T. Baidyk is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Food Science, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 27 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Scientific Research Methods (7 papers), Advanced machining processes and optimization (6 papers), Neural Networks and Applications (5 papers), Advanced Measurement and Metrology Techniques (4 papers), solar cell performance optimization (4 papers), Advanced Surface Polishing Techniques (4 papers), Solar Thermal and Photovoltaic Systems (4 papers) and Photovoltaic System Optimization Techniques (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (46 citations), Computer Vision and Pattern Recognition (75 citations), Artificial Intelligence (82 citations), Media Technology (18 citations) and Mechanical Engineering (76 citations). T. Baidyk has collaborated with scholars based in Mexico, Ukraine and United States. Frequent co-authors include Ernst Kussul, Alberto Caballero‐Ruiz, Oleksandr Makeyev, Leopoldo Ruiz‐Huerta, Donald C. Wunsch, S. O. Slipchenko, José M. Sániger, Felipe Lara-Rosano, Neil C. Bruce and Edward Sazonov. Their work appears in journals such as Optical Memory and Neural Networks, Pattern Recognition Letters, Journal of Micromechanics and Microengineering, Neural Computing and Applications and International Journal of Sustainable Energy.

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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