Alexey Lihachev

721 total citations
66 papers, 524 citations indexed

About

Alexey Lihachev is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Dermatology. According to data from OpenAlex, Alexey Lihachev has authored 66 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 18 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Dermatology. Recurrent topics in Alexey Lihachev's work include Optical Imaging and Spectroscopy Techniques (15 papers), Cutaneous Melanoma Detection and Management (12 papers) and Skin Protection and Aging (10 papers). Alexey Lihachev is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (15 papers), Cutaneous Melanoma Detection and Management (12 papers) and Skin Protection and Aging (10 papers). Alexey Lihachev collaborates with scholars based in Latvia, Hungary and Lithuania. Alexey Lihachev's co-authors include Jānis Spīgulis, Renārs Erts, Jānis Liepiņš, Norbert Kiss, Dainis Jakovels, Márta Medvecz, Norbert Wikonkál, Kende Lőrincz, Klára Farkas and András Bánvölgyi and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Frontiers in Microbiology.

In The Last Decade

Alexey Lihachev

60 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexey Lihachev Latvia 13 266 142 113 84 73 66 524
Jason M. Tucker-Schwartz United States 14 238 0.9× 48 0.3× 94 0.8× 92 1.1× 45 0.6× 20 467
Julia Walther Germany 17 460 1.7× 154 1.1× 99 0.9× 30 0.4× 19 0.3× 67 741
Ronit Barkalifa United States 15 230 0.9× 41 0.3× 162 1.4× 43 0.5× 20 0.3× 28 632
Rui Shi China 13 324 1.2× 158 1.1× 166 1.5× 25 0.3× 8 0.1× 33 573
Peter Cimalla Germany 12 249 0.9× 98 0.7× 76 0.7× 11 0.1× 36 0.5× 38 606
Dean Tai United States 13 407 1.5× 83 0.6× 174 1.5× 87 1.0× 69 0.9× 42 953
G Hofmann Austria 13 287 1.1× 41 0.3× 26 0.2× 20 0.2× 13 0.2× 45 698
Paulo R. Bargo United States 11 352 1.3× 334 2.4× 123 1.1× 11 0.1× 6 0.1× 23 603
Ute A. Gamm Netherlands 11 230 0.9× 206 1.5× 53 0.5× 13 0.2× 8 0.1× 23 366
Guangming Ni China 12 322 1.2× 99 0.7× 100 0.9× 34 0.4× 33 0.5× 55 658

Countries citing papers authored by Alexey Lihachev

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Lihachev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Lihachev

This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Lihachev. A scholar is included among the top collaborators of Alexey Lihachev 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 Alexey Lihachev. Alexey Lihachev 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
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Poļaka, Inese, et al.. (2025). Classification of Microbial Activity and Inhibition Zones Using Neural Network Analysis of Laser Speckle Images. Sensors. 25(11). 3462–3462. 1 indexed citations
3.
Reinis, Aigars, Jānis Liepiņš, Maksym Pogorielov, et al.. (2024). Determination of operating parameters of fungal growth signals analyzed by laser speckle contrast imaging. 81–81. 3 indexed citations
4.
Deineka, Volodymyr, Kateryna Diedkova, Mykola Lyndіn, et al.. (2024). MXene-Polydopamine-antiCEACAM1 Antibody Complex as a Strategy for Targeted Ablation of Melanoma. ACS Applied Materials & Interfaces. 16(33). 43302–43316. 13 indexed citations
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Lihachev, Alexey, et al.. (2023). Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation. Sensors. 23(19). 8337–8337. 2 indexed citations
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Rudzītis, Ainārs, et al.. (2023). Multispectral Imaging Analysis of Skin Lesions in Patients with Neurofibromatosis Type 1. Journal of Clinical Medicine. 12(21). 6746–6746. 1 indexed citations
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Liepiņš, Jānis, et al.. (2023). Use of the speckle imaging sub-pixel correlation analysis in revealing a mechanism of microbial colony growth. Scientific Reports. 13(1). 2613–2613. 12 indexed citations
11.
Kiss, Norbert, et al.. (2022). Multi-Class CNN for Classification of Multispectral and Autofluorescence Skin Lesion Clinical Images. Journal of Clinical Medicine. 11(10). 2833–2833. 13 indexed citations
12.
Lihachev, Alexey, et al.. (2022). Multi-Path U-Net Architecture for Cell and Colony-Forming Unit Image Segmentation. Sensors. 22(3). 990–990. 8 indexed citations
13.
Farkas, Klára, András Bánvölgyi, Kende Lőrincz, et al.. (2021). Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis. Diagnostics. 11(8). 1315–1315. 11 indexed citations
14.
Farkas, Klára, András Bánvölgyi, Kende Lőrincz, et al.. (2021). Multispectral Imaging Algorithm Predicts Breslow Thickness of Melanoma. Journal of Clinical Medicine. 11(1). 189–189. 6 indexed citations
15.
Kiss, Norbert, Balázs Mayer, Kende Lőrincz, et al.. (2021). Visualization of Keratin with Diffuse Reflectance and Autofluorescence Imaging and Nonlinear Optical Microscopy in a Rare Keratinopathic Ichthyosis. Sensors. 21(4). 1105–1105. 12 indexed citations
16.
Farkas, Klára, András Bánvölgyi, Alexey Lihachev, et al.. (2021). Autofluorescence Imaging of the Skin Is an Objective Non-Invasive Technique for Diagnosing Pseudoxanthoma Elasticum. Diagnostics. 11(2). 260–260. 9 indexed citations
17.
Lihachev, Alexey, et al.. (2018). Differentiation of seborrheic keratosis from basal cell carcinoma, nevi and melanoma by RGB autofluorescence imaging. Biomedical Optics Express. 9(4). 1852–1852. 25 indexed citations
18.
Lihachev, Alexey, et al.. (2018). Cloud infrastructure for skin cancer scalable detection system. 10592. 3–3. 5 indexed citations
19.
Kilikevičius, Audrius, et al.. (2016). Noninvasive optical diagnostics of enhanced green fluorescent protein expression in skeletal muscle for comparison of electroporation and sonoporation efficiencies. Journal of Biomedical Optics. 21(4). 45003–45003. 3 indexed citations
20.
Spīgulis, Jānis, Alexey Lihachev, & Renārs Erts. (2009). Imaging of laser-excited tissue autofluorescence bleaching rates. Applied Optics. 48(10). D163–D163. 19 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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