Sunghoon Lim
Impact in
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- Industrial Vision Systems and Defect Detection
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Papers in
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- Advanced machining processes and optimization 8
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- Industrial Vision Systems and Defect Detection 7
- Manufacturing Process and Optimization 3
- Co-authors
- Bayu Adhi Tama (6 shared papers)Gyeongho Kim (14 shared papers)Conrad S. Tucker (6 shared papers)Jae Gyeong Choi (15 shared papers)Malinda Vania (3 shared papers)Seung‐Chul Lee (1 shared paper)Soundar Kumara (1 shared paper)Hyung Wook Park (10 shared papers)
- Journals
- IEEE Access (6 papers)Expert Systems with Applications (3 papers)Computers & Industrial Engineering (2 papers)Journal of Mechanical Design (2 papers)Reliability Engineering & System Safety (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Sunghoon Lim
35 papers receiving 826 citations
Sunghoon Lim's Hit Papers
Peers
Comparison fields: 5 of 109
- Industrial and Manufacturing Engineering 112
- Control and Systems Engineering 195
- Artificial Intelligence 237
- Mechanical Engineering 219
- Signal Processing 61
Countries citing papers authored by Sunghoon Lim
This map shows the geographic impact of Sunghoon Lim'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 Sunghoon Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghoon Lim more than expected).
Fields of papers citing papers by Sunghoon Lim
This network shows the impact of papers produced by Sunghoon Lim. 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 Sunghoon Lim. The network helps show where Sunghoon Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunghoon Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals Hit paper breakdown → | 2022 | 147 |
| 2 | 2020 | 113 | |
| 3 | 2016 | 85 | |
| 4 | 2021 | 50 | |
| 5 | 2022 | 47 | |
| 6 | 2021 | 32 | |
| 7 | 2016 | 29 | |
| 8 | 2023 | 29 | |
| 9 | 2021 | 24 | |
| 10 | 2024 | 24 | |
| 11 | 2023 | 23 | |
| 12 | 2023 | 22 | |
| 13 | 2018 | 19 | |
| 14 | 2024 | 17 | |
| 15 | 2021 | 17 | |
| 16 | 2022 | 17 | |
| 17 | 2022 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2024 | 14 |
About Sunghoon Lim
Sunghoon Lim is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 38 papers that have together received 855 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (8 papers), Industrial Vision Systems and Defect Detection (7 papers), Advanced Machining and Optimization Techniques (7 papers), Machine Fault Diagnosis Techniques (4 papers), Fault Detection and Control Systems (3 papers), Digital Marketing and Social Media (3 papers), Stock Market Forecasting Methods (3 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (112 citations), Control and Systems Engineering (195 citations), Artificial Intelligence (237 citations), Mechanical Engineering (219 citations) and Signal Processing (61 citations). Sunghoon Lim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Bayu Adhi Tama, Gyeongho Kim, Conrad S. Tucker, Jae Gyeong Choi, Malinda Vania, Seung‐Chul Lee, Soundar Kumara, Hyung Wook Park, Hyewon Cho and Nahyun Kwon. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Computers & Industrial Engineering, Journal of Mechanical Design and Reliability Engineering & System Safety.
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.