Sungshin Kim

169 papers receiving 1.7k citations

Peers

Sungshin Kim
Comparison fields: 5 of 132
  • Electrical and Electronic Engineering 726
  • Control and Systems Engineering 575
  • Computer Vision and Pattern Recognition 330
  • Electronic, Optical and Magnetic Materials 284
  • Artificial Intelligence 276
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Jun Peng China
Hui Ma Australia
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Citations per field
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Citations per year

Countries citing papers authored by Sungshin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sungshin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungshin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sungshin Kim. A scholar is included among the top collaborators of Sungshin 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 Sungshin Kim. Sungshin 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 19
3 2
4 3
5 1
6 0
7 7
8 0
9 1
10
Bagged Auto-Associative Kernel Regression-Based Fault Detection and Identification Approach for Steam Boilers in Thermal Power Plants
9
11 15
12
Calibration of accelerometer using fuzzy inference system
3
13
Path Tracking for AGV using Laser guidance system
1
14 2
15
Online Measurement of Oily-water Using Rule-based Fuzzy Concentration Map and Halogen Fluorescence.
1
16
Multiple Path-planning of Unmanned Autonomous Forklift using Modified Genetic Algorithm and Fuzzy Inference system
0
17
Sensor Fault Detection and Analysis of Fault Status using Smart Sensor Modeling
3
18
Fault Detection, Diagnosis, and Optimization of Wafer Manufacturing Processes utilizing Knowledge Creation
7
19
A Fuzzy Similarity Measure for Natural Color Recognition
3
20
A Neuro-Fuzzy Approach to Integration and Control of Industrial Processes : Part I
4

About Sungshin Kim

Sungshin Kim is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 206 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (26 papers), Robotics and Sensor-Based Localization (25 papers) and Robotic Path Planning Algorithms (24 papers). The work is most often cited by research in Control and Systems Engineering (575 citations), Industrial and Manufacturing Engineering (206 citations) and Energy Engineering and Power Technology (62 citations). Sungshin Kim has collaborated with scholars based in South Korea, United States and United Arab Emirates. Frequent co-authors include Hansoo Lee, Jong-Yul Kim, Chang‐Hee Cho, Jin-Hong Jeon, Hee-Je Kim, June Ho Park, Ihab M. Obaidat, Sambasivam Sangaraju, Jungmin Kim and Yedluri Anil Kumar. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Power 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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