Isao Echizen
Impact in
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- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Steganography and Watermarking Techniques
- Advanced Image Processing Techniques
- Signal Processing top 2%
Papers in
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- Advanced Steganography and Watermarking Techniques 57
- Digital Media Forensic Detection 44
- Chaos-based Image/Signal Encryption 29
- Generative Adversarial Networks and Image Synthesis 18
- Face recognition and analysis 17
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- Privacy-Preserving Technologies in Data 25
- Adversarial Robustness in Machine Learning 16
- Co-authors
- Junichi Yamagishi (33 shared papers)Huy H. Nguyen (35 shared papers)Fuming Fang (8 shared papers)Noboru Sonehara (12 shared papers)Günter Müller (6 shared papers)Sebastian Haas (1 shared paper)Trung-Nghia Le (9 shared papers)Seiichi Gohshi (8 shared papers)
In The Last Decade
Isao Echizen
150 papers receiving 1.7k citations
Isao Echizen's Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 1.2k
- Signal Processing 314
- Artificial Intelligence 699
- Information Systems 235
- Health Information Management 37
Countries citing papers authored by Isao Echizen
This map shows the geographic impact of Isao Echizen'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 Isao Echizen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isao Echizen more than expected).
Fields of papers citing papers by Isao Echizen
This network shows the impact of papers produced by Isao Echizen. 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 Isao Echizen. The network helps show where Isao Echizen may publish in the future.
Co-authors
The 25 scholars most cited alongside Isao Echizen, 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 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos Hit paper breakdown → | 2019 | 495 |
| 2 | Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos Hit paper breakdown → | 2019 | 325 |
| 3 | 2010 | 118 | |
| 4 | 2019 | 79 | |
| 5 | 2021 | 47 | |
| 6 | 2015 | 42 | |
| 7 | 2018 | 34 | |
| 8 | 2016 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2016 | 19 | |
| 11 | 2012 | 18 | |
| 12 | 2014 | 18 | |
| 13 | 2011 | 17 | |
| 14 | 2022 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2010 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2017 | 13 | |
| 20 | 2022 | 13 |
About Isao Echizen
Isao Echizen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Sociology and Political Science, having authored 179 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (57 papers), Digital Media Forensic Detection (44 papers), Chaos-based Image/Signal Encryption (29 papers), Privacy-Preserving Technologies in Data (25 papers), Generative Adversarial Networks and Image Synthesis (18 papers), Face recognition and analysis (17 papers), Biometric Identification and Security (16 papers) and Adversarial Robustness in Machine Learning (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Signal Processing (314 citations), Artificial Intelligence (699 citations), Information Systems (235 citations) and Health Information Management (37 citations). Isao Echizen has collaborated with scholars based in Japan, Vietnam and Germany. Frequent co-authors include Junichi Yamagishi, Huy H. Nguyen, Fuming Fang, Noboru Sonehara, Günter Müller, Sebastian Haas, Trung-Nghia Le, Seiichi Gohshi, Xin Wang and Takayuki Yamada. Their work appears in journals such as IEEE Access, IEEE Transactions on Information Theory, Scientific Reports, IEEE Transactions on Consumer Electronics and Knowledge-Based 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.