Pyung Soo Kim

938 citations
49 papers · 641 indexed · h-index 12
Topics
Target Tracking and Data Fusion in Sensor Networks (19 papers)Control Systems and Identification (18 papers)Fault Detection and Control Systems (17 papers)
Partner nations
South KoreaIndiaCzechia

In The Last Decade

Pyung Soo Kim

39 papers receiving 595 citations

Peers

Pyung Soo Kim
Comparison fields: 5 of 52
  • Control and Systems Engineering 377
  • Artificial Intelligence 306
  • Computer Networks and Communications 112
  • Electrical and Electronic Engineering 96
  • Computational Mechanics 87
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Citations per field
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Citations per year

Countries citing papers authored by Pyung Soo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Pyung Soo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pyung Soo Kim. 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 Pyung Soo Kim. The network helps show where Pyung Soo Kim may publish in the future.

Co-authorship network of co-authors of Pyung Soo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Pyung Soo Kim. A scholar is included among the top collaborators of Pyung Soo Kim 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 Pyung Soo Kim. Pyung Soo Kim 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
#WorkIndexed citations
1 0
2 1
3 4
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A Fault Detection Algorithm using Multiple Residual Generation Filters
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5 3
6 6
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New peak-to-peak state-space realization of direct form interfered digital filters free of overflow limit cycles
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New energy-to-peak FIR filter design for systems with disturbance: A convex optimization approach
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Hierarchical Mobile IPv6 Based Fast Vertical Handover using IEEE 802.21 Media Independent Handover Function.
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New authentication mechanism for vertical handovers between wlan and 3G network.
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11 12
12 1
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A Constrained Receding Horizon Estimator Estimator with FIR Structures
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14 36
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Receding Horizon FIR Filter and Its Square-Root Algorithm for Discrete Time-Varying Systems
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Speech Enhancement Using Receding Horizon FIR Filtering
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17
A New Parity Space Approach for Fault Detection
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18 61
19 154
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New Kalman Filtering Algorithms via Receding Horizon Strategy
0

About Pyung Soo Kim

Pyung Soo Kim is a scholar working on Control and Systems Engineering, Signal Processing and Artificial Intelligence, having authored 49 papers that have together received 641 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (19 papers), Control Systems and Identification (18 papers) and Fault Detection and Control Systems (17 papers). The work is most often cited by research in Control and Systems Engineering (377 citations), Artificial Intelligence (306 citations) and Signal Processing (53 citations). Pyung Soo Kim has collaborated with scholars based in South Korea, India and Czechia. Frequent co-authors include Wook Hyun Кwon, PooGyeon Park, Soo Hee Han, Choon Ki Ahn, Malay Kishore Dutta, Yongjin Kim, Jung Min Pak, Moon Kyou Song, Sung Hyun You and Walter Böhm. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Aerospace and Electronic Systems.

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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