Pilsung Kang
- Artificial Intelligence top 1%
- Information Systems top 1%
- Industrial and Manufacturing Engineering top 1%
- Electrical and Electronic Engineering top 10%
- Signal Processing top 2%
- Co-authors
- Sungzoon ChoJunhong KimDong‐Hwa KimDongil KimSeokho KangHakyeon LeeSeungwan SeoHyoungjoo Lee
- Topics
- Topic Modeling (19 papers)Anomaly Detection Techniques and Applications (18 papers)Industrial Vision Systems and Defect Detection (15 papers)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Pilsung Kang
97 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Artificial Intelligence 1.1k
- Information Systems 462
- Industrial and Manufacturing Engineering 405
- Electrical and Electronic Engineering 391
- Signal Processing 351
Countries citing papers authored by Pilsung Kang
This map shows the geographic impact of Pilsung Kang'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 Pilsung Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pilsung Kang more than expected).
Fields of papers citing papers by Pilsung Kang
This network shows the impact of papers produced by Pilsung Kang. 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 Pilsung Kang. The network helps show where Pilsung Kang may publish in the future.
Co-authorship network of co-authors of Pilsung Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Pilsung Kang. A scholar is included among the top collaborators of Pilsung Kang 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 Pilsung Kang. Pilsung Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 37 | |
| 14 | 64 | |
| 15 | 69 | |
| 16 | 48 | |
| 17 | TOLL FRAUD DETECTION OF VOIP SERVICES VIA AN ENSELBME OF NOVELTY DETECTION ALGORITHMS | 1 |
| 18 | 1 | |
| 19 | 240 | |
| 20 | EUS SVMs: Ensemble of UnderSampled SVMs for Data Imbalance Problems | 7 |
About Pilsung Kang
Pilsung Kang is a scholar working on Acoustics and Ultrasonics, Artificial Intelligence and Signal Processing, having authored 112 papers that have together received 3.0k indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Anomaly Detection Techniques and Applications (18 papers) and Industrial Vision Systems and Defect Detection (15 papers). The work is most often cited by research in Acoustics and Ultrasonics (232 citations), Industrial and Manufacturing Engineering (405 citations) and Artificial Intelligence (1.1k citations). Pilsung Kang has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Sungzoon Cho, Junhong Kim, Dong‐Hwa Kim, Dongil Kim, Seokho Kang, Hakyeon Lee, Seungwan Seo, Hyoungjoo Lee, Eenjun Hwang and Jihoon Moon. Their work appears in journals such as Physical Review Letters, Nature Communications and Biomaterials.
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.