Yongjun Hong
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- Generative Adversarial Networks and Image Synthesis 3
- Digital Media Forensic Detection 2
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- Adversarial Robustness in Machine Learning 1
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- Hydraulic Fracturing and Reservoir Analysis 2
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- Reservoir Engineering and Simulation Methods 2
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- Online Learning and Analytics 1
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- Hydrocarbon exploration and reservoir analysis 1
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- Fluid Dynamics and Mixing 1
- Partner nations
- South Korea
In The Last Decade
Yongjun Hong
6 papers receiving 243 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 123
- Artificial Intelligence 85
- Signal Processing 26
- Media Technology 21
- Computer Networks and Communications 29
Countries citing papers authored by Yongjun Hong
This map shows the geographic impact of Yongjun Hong'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 Yongjun Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongjun Hong more than expected).
Fields of papers citing papers by Yongjun Hong
This network shows the impact of papers produced by Yongjun Hong. 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 Yongjun Hong. The network helps show where Yongjun Hong may publish in the future.
Co-authorship network
The 5 scholars most cited alongside Yongjun Hong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 12 | |
| 3 | 2019 | 214 | |
| 4 | Memory-Augmented Neural Networks for Knowledge Tracing from the Perspective of Learning and Forgetting | 2018 | 4 |
| 5 | How Generative Adversarial Networks and Their Variants Work: An Overview of GAN | 2017 | 2 |
| 6 | How Generative Adversarial Networks and its variants Work: An Overview of GAN | 2017 | 17 |
About Yongjun Hong
Yongjun Hong is a scholar working on Computer Science Applications, Biophysics and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 252 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (3 papers), Hydraulic Fracturing and Reservoir Analysis (2 papers), Reservoir Engineering and Simulation Methods (2 papers), Digital Media Forensic Detection (2 papers), Online Learning and Analytics (1 paper), Hydrocarbon exploration and reservoir analysis (1 paper), Fluid Dynamics and Mixing (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (123 citations), Artificial Intelligence (85 citations) and Signal Processing (26 citations). Yongjun Hong has collaborated with scholars based in South Korea. Frequent co-authors include Uiwon Hwang, Sungroh Yoon, Jaeyoon Yoo, Hoonyoung Jeong and Juhyun Kim. Their work appears in journals such as ACM Computing Surveys, Energy, Computers & Geosciences and arXiv (Cornell University).
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.