Vasily Sachnev

1.5k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

Vasily Sachnev is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Vasily Sachnev has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Vasily Sachnev's work include Chaos-based Image/Signal Encryption (10 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Machine Learning and ELM (9 papers). Vasily Sachnev is often cited by papers focused on Chaos-based Image/Signal Encryption (10 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Machine Learning and ELM (9 papers). Vasily Sachnev collaborates with scholars based in South Korea, Singapore and United States. Vasily Sachnev's co-authors include Yun Q. Shi, Jeho Nam, Suresh Sundaram, Hyon‐Gon Choo, Hyoung Joong Kim, Suah Kim, Xiaochao Qu, Rongyue Zhang, Jun Heo and Wenjia Xu and has published in prestigious journals such as IEEE Transactions on Information Theory, BMC Bioinformatics and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Vasily Sachnev

22 papers receiving 1.1k citations

Hit Papers

Reversible Watermarking Algorithm Using Sorting and Predi... 2009 2026 2014 2020 2009 200 400 600
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.

  1. Reversible Watermarking Algorithm Using Sorting and Prediction
    2009 637 citations Vasily Sachnev, Jeho Nam et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vasily Sachnev South Korea 9 1.1k 57 44 27 20 24 1.2k
Oh-Hyun Kwon United States 6 219 0.2× 66 1.2× 32 0.7× 32 1.2× 11 0.6× 9 291
Tomáš Denemark United States 10 1.2k 1.1× 140 2.5× 43 1.0× 7 0.3× 12 0.6× 13 1.2k
Yuwei Peng China 11 151 0.1× 59 1.0× 61 1.4× 14 0.5× 37 1.9× 31 322
Zichi Wang China 14 818 0.7× 119 2.1× 50 1.1× 13 0.5× 21 1.1× 73 872
Hsien‐Wen Tseng Taiwan 10 569 0.5× 17 0.3× 19 0.4× 12 0.4× 9 0.5× 22 589
Kedar Nath Singh India 11 298 0.3× 32 0.6× 31 0.7× 5 0.2× 21 1.1× 33 342
Nasrin M. Makbol Malaysia 8 662 0.6× 40 0.7× 47 1.1× 13 0.5× 17 0.8× 12 692
Mehdi Boroumand United States 8 916 0.8× 156 2.7× 30 0.7× 7 0.3× 26 1.3× 16 958
Salah Euschi Algeria 13 660 0.6× 27 0.5× 75 1.7× 3 0.1× 32 1.6× 14 691

Countries citing papers authored by Vasily Sachnev

Since Specialization
Citations

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

Fields of papers citing papers by Vasily Sachnev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasily Sachnev

This figure shows the co-authorship network connecting the top 25 collaborators of Vasily Sachnev. A scholar is included among the top collaborators of Vasily Sachnev 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 Vasily Sachnev. Vasily Sachnev 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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Sachnev, Vasily, et al.. (2024). An Automatic Diagnostic Tool for Autism Spectrum Disorder using Structural Magnetic Resonance Imaging and a Tailored Binary Coded Genetic Algorithm. IEIE Transactions on Smart Processing and Computing. 13(3). 236–242. 1 indexed citations
3.
Sachnev, Vasily, et al.. (2023). Numerical estimation of the ground states of frustrated antiferromagnet gadolinium gallium garnet. Journal of the Korean Physical Society. 82(7). 699–706. 1 indexed citations
4.
Sachnev, Vasily, N. Sundararajan, & Suresh Sundaram. (2023). A New Approach for JPEG Steganalysis with a Cognitive Evolving Ensembler and Robust Feature Selection. Cognitive Computation. 15(2). 751–764.
5.
Kim, Suah, Vasily Sachnev, & Hyoung Joong Kim. (2020). Rentable CDN Using Blockchain and Proof of Provenance. Applied Sciences. 10(18). 6570–6570. 1 indexed citations
6.
Sachnev, Vasily, et al.. (2019). Multi-Region Risk-Sensitive Cognitive Ensembler for Accurate Detection of Attention-Deficit/Hyperactivity Disorder. Cognitive Computation. 11(4). 545–559. 9 indexed citations
7.
Xu, Wenjia, Shijun Xiang, & Vasily Sachnev. (2018). A Cryptograph Domain Image Retrieval Method Based On Paillier Homomorphic Block Encryption. Cmc-computers Materials & Continua. 55(2). 285–295. 11 indexed citations
8.
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Sachnev, Vasily, Suresh Sundaram, & Yong Soo Choi. (2016). Cancer subtype's classifier based on Hybrid Samples Balanced Genetic Algorithm and Extreme Learning Machine. Journal of Digital Contents Society. 17(6). 565–579. 1 indexed citations
10.
Sachnev, Vasily, et al.. (2016). Bio-marker Detector and Parkinson's disease diagnosis Approach based on Samples Balanced Genetic Algorithm and Extreme Learning Machine. Journal of Digital Contents Society. 17(6). 509–521. 1 indexed citations
11.
Sachnev, Vasily & Suresh Sundaram. (2016). An Improved Sample Balanced Genetic Algorithm and Extreme Learning Machine for Accurate Alzheimer Disease Diagnosis. Journal of Computing Science and Engineering. 10(4). 118–127. 3 indexed citations
12.
Sachnev, Vasily & Suresh Sundaram. (2016). An ADHD Diagnostic Approach Based on Binary-Coded Genetic Algorithm and Extreme Learning Machine. Journal of Computing Science and Engineering. 10(4). 111–117. 1 indexed citations
13.
Sachnev, Vasily & Yong Soo Choi. (2016). Ternary Bose - Chaudhuri - Hocquenghem (BCH) with t = 2 code for steganography. Journal of Digital Contents Society. 17(6). 461–469. 2 indexed citations
14.
Sachnev, Vasily, et al.. (2015). Multi-class BCGA-ELM based classifier that identifies biomarkers associated with hallmarks of cancer. BMC Bioinformatics. 16(1). 166–166. 9 indexed citations
15.
16.
Sachnev, Vasily & Hyoung Joong Kim. (2014). Parkinson Disease Classification based on binary coded genetic algorithm and Extreme learning machine. 6675. 1–6. 7 indexed citations
17.
Sachnev, Vasily & Hyoung Joong Kim. (2012). Modified BCH data hiding scheme for JPEG steganography. EURASIP Journal on Advances in Signal Processing. 2012(1). 11 indexed citations
18.
Zhang, Rongyue, et al.. (2012). An Efficient Embedder for BCH Coding for Steganography. IEEE Transactions on Information Theory. 58(12). 7272–7279. 37 indexed citations
19.
Sachnev, Vasily, et al.. (2009). Reversible Watermarking Algorithm Using Sorting and Prediction. IEEE Transactions on Circuits and Systems for Video Technology. 19(7). 989–999. 637 indexed citations breakdown →
20.
Sachnev, Vasily, et al.. (2008). A Novel Difference Expansion Transform for Reversible Data Embedding. IEEE Transactions on Information Forensics and Security. 3(3). 456–465. 270 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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