Vladimir Shin

701 total citations
79 papers, 495 citations indexed

About

Vladimir Shin is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Vladimir Shin has authored 79 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 38 papers in Control and Systems Engineering and 23 papers in Computer Networks and Communications. Recurrent topics in Vladimir Shin's work include Target Tracking and Data Fusion in Sensor Networks (54 papers), Fault Detection and Control Systems (30 papers) and Distributed Sensor Networks and Detection Algorithms (23 papers). Vladimir Shin is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (54 papers), Fault Detection and Control Systems (30 papers) and Distributed Sensor Networks and Detection Algorithms (23 papers). Vladimir Shin collaborates with scholars based in South Korea, Russia and Qatar. Vladimir Shin's co-authors include Du Yong Kim, Moongu Jeon, Tae‐Sun Choi, Georgy Shevlyakov, Ju Hong Yoon, Jong Keun Seon, Kiseon Kim, Soo‐Jin Park, Yoon Hyuk Kim and Eun Kyoo Song and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and IEEE Transactions on Signal Processing.

In The Last Decade

Vladimir Shin

74 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimir Shin South Korea 11 256 145 125 100 76 79 495
Murat Efe Türkiye 14 349 1.4× 105 0.7× 75 0.6× 255 2.5× 142 1.9× 72 644
Bailu Wang China 12 511 2.0× 121 0.8× 354 2.8× 147 1.5× 99 1.3× 35 617
Chao‐Lin Kuo Taiwan 14 107 0.4× 225 1.6× 89 0.7× 19 0.2× 239 3.1× 56 660
Wenjuan Qi China 11 485 1.9× 416 2.9× 339 2.7× 93 0.9× 98 1.3× 41 729
Habib Rostami Iran 16 124 0.5× 31 0.2× 163 1.3× 27 0.3× 133 1.8× 57 701
Jianfeng Chen China 14 148 0.6× 263 1.8× 52 0.4× 73 0.7× 254 3.3× 57 741
Shovan Bhaumik India 15 561 2.2× 267 1.8× 98 0.8× 305 3.0× 72 0.9× 84 802
Hongqi Fan China 13 371 1.4× 69 0.5× 184 1.5× 352 3.5× 192 2.5× 82 770
Murali R. Rajamani United States 7 188 0.7× 319 2.2× 40 0.3× 82 0.8× 50 0.7× 8 520
Abhinoy Kumar Singh India 10 222 0.9× 98 0.7× 49 0.4× 107 1.1× 28 0.4× 41 318

Countries citing papers authored by Vladimir Shin

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Shin. A scholar is included among the top collaborators of Vladimir Shin 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 Vladimir Shin. Vladimir Shin 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
1.
Shin, Vladimir, et al.. (2023). Two‐stage approach for cooperative multi‐vehicle localization using integrated measurements. IET Signal Processing. 17(4). 3 indexed citations
2.
Shin, Vladimir, et al.. (2023). Bézier Curves for Smooth Entry into Elliptic Orbits. International Journal of Aeronautical and Space Sciences. 25(2). 622–634.
3.
Shevlyakov, Georgy, et al.. (2020). Robust Minimax Variance Estimation of Location under Bounded Distribution Interquantile Ranges. Journal of Mathematical Sciences. 248(1). 25–32. 1 indexed citations
4.
Shevlyakov, Georgy, et al.. (2019). A Comparative Study of Robust and Stable Estimates of Multivariate Location. Journal of Mathematical Sciences. 237(6). 831–845. 1 indexed citations
5.
Shin, Vladimir, et al.. (2014). Distributed estimation of non‐linear functions of the state vector for multisensory continuous‐time linear systems. IET Science Measurement & Technology. 9(1). 1–11. 4 indexed citations
6.
Shevlyakov, Georgy, et al.. (2013). Asymptotically stable detection of a weak signal. International Journal of Adaptive Control and Signal Processing. 28(9). 848–858. 1 indexed citations
7.
Shin, Vladimir, et al.. (2011). Mobile Node Localization Using Fusion Prediction-Based Interacting Multiple Model in Cricket Sensor Network. IEEE Transactions on Industrial Electronics. 59(11). 4349–4359. 41 indexed citations
8.
Kim, Sung Hyun, et al.. (2010). Analysis and Measurement of Water Emissivity for the Monitoring of Road Surface State. 2 indexed citations
9.
Shin, Vladimir, et al.. (2010). Distributed receding horizon filtering for mixed continuous–discrete multisensor linear stochastic systems. Measurement Science and Technology. 21(12). 125201–125201. 5 indexed citations
10.
Kim, Du Yong, et al.. (2009). Distributed fusion receding horizon filtering. 2009 ICCAS-SICE. 1234–1239. 2 indexed citations
11.
Shin, Vladimir, et al.. (2009). Effective computation algorithms for fusion estimation. 2009 ICCAS-SICE. 5291–5295. 2 indexed citations
12.
Choi, Tae‐Sun, et al.. (2009). Two fusion predictors for discrete-time linear systems with different types of observations. International Journal of Control Automation and Systems. 7(4). 651–658. 4 indexed citations
13.
Jeon, Moongu, et al.. (2009). TWO FUSION PREDICTORS FOR MULTISENSOR DISCRETETIME LINEAR SYSTEM. International Journal of Robotics and Automation. 24(4). 1 indexed citations
14.
Lee, Yeon Soo, et al.. (2009). Achievement of Targeted Posterior Slope in the Medial Opening Wedge High Tibial Osteotomy: A Mathematical Approach. Annals of Biomedical Engineering. 38(3). 583–593. 30 indexed citations
15.
Kim, Du Yong & Vladimir Shin. (2007). Optimal receding horizon filter for continuous-time nonlinear stochastic systems. International Conference on Signal Processing. 112–116. 11 indexed citations
16.
Kim, Du Yong, Vladimir Shin, Georgy Shevlyakov, & Kiseon Kim. (2007). A design of optimal receding horizon filter for linear systems with uncertainty. 1–4. 1 indexed citations
17.
Shin, Vladimir, et al.. (2006). New Algorithm for Recursive Estimation in Linear Discrete-Time Systems with Unknown Parameters. International Journal of Control Automation and Systems. 4(4). 456–465. 4 indexed citations
18.
Shin, Vladimir. (2005). Optimal linear fusion of local estimates. 1435–1440. 2 indexed citations
19.
Han, Changhee, et al.. (1998). Recursive filtering in discrete nonlinear systems with unknown parameters.. Automation and Remote Control. 59(1). 36–43. 5 indexed citations
20.
Shin, Vladimir, et al.. (1998). Suboptimal discrete filters for stochastic systems with different types of observations. Computers & Mathematics with Applications. 35(3). 17–27. 2 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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