Jonathan K. Su
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Artificial Intelligence top 10%
- Target Tracking and Data Fusion in Sensor Networks
- Explainable Artificial Intelligence (XAI)
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Advanced Steganography and Watermarking Techniques 8
- Chaos-based Image/Signal Encryption 6
- Digital Media Forensic Detection 6
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- Internet Traffic Analysis and Secure E-voting 2
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Bernd Girod (8 shared papers)Frank Hartung (3 shared papers)Edward W. Kamen (1 shared paper)Joachim J. Eggers (4 shared papers)Xiaohui Tao (1 shared paper)Chaofan Chen (1 shared paper)Oscar Li (1 shared paper)Alina Jade Barnett (1 shared paper)
- Journals
- Signal Processing (1 paper)Computers & Graphics (1 paper)ECS Transactions (1 paper)JACC Case Reports (1 paper)Zenodo (CERN European Organization for Nuclear Research) (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Jonathan K. Su
15 papers receiving 565 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 420
- Artificial Intelligence 190
- Signal Processing 63
- Computer Graphics and Computer-Aided Design 13
- Health Informatics 5
Countries citing papers authored by Jonathan K. Su
This map shows the geographic impact of Jonathan K. Su'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 Jonathan K. Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan K. Su more than expected).
Fields of papers citing papers by Jonathan K. Su
This network shows the impact of papers produced by Jonathan K. Su. 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 Jonathan K. Su. The network helps show where Jonathan K. Su may publish in the future.
Co-authors
The 15 scholars most cited alongside Jonathan K. Su, 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 | 1999 | 158 | |
| 2 | 1999 | 144 | |
| 3 | This Looks Like That: Deep Learning for Interpretable Image Recognition | 2019 | 76 |
| 4 | 1998 | 49 | |
| 5 | 2000 | 48 | |
| 6 | 2000 | 40 | |
| 7 | 2001 | 34 | |
| 8 | 2001 | 23 | |
| 9 | 2000 | 18 | |
| 10 | 2006 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 1999 | 9 | |
| 13 | 2004 | 4 | |
| 14 | 2016 | 3 | |
| 15 | 2004 | 1 | |
| 16 | 2025 | 0 |
About Jonathan K. Su
Jonathan K. Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Hardware and Architecture and Electrical and Electronic Engineering, having authored 16 papers that have together received 629 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (8 papers), Chaos-based Image/Signal Encryption (6 papers), Digital Media Forensic Detection (6 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Adversarial Robustness in Machine Learning (1 paper), Remote-Sensing Image Classification (1 paper), Cloud Computing and Resource Management (1 paper) and Cardiac Arrhythmias and Treatments (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (420 citations), Artificial Intelligence (190 citations), Signal Processing (63 citations), Computer Graphics and Computer-Aided Design (13 citations) and Health Informatics (5 citations). Jonathan K. Su has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Bernd Girod, Frank Hartung, Edward W. Kamen, Joachim J. Eggers, Xiaohui Tao, Chaofan Chen, Oscar Li, Alina Jade Barnett, Cynthia Rudin and Kurt Akeley. Their work appears in journals such as Signal Processing, Computers & Graphics, ECS Transactions, JACC Case Reports and Zenodo (CERN European Organization for Nuclear Research).
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.