Jonathan K. Su

1.7k citations
18 papers · 800 · h-index 12

Impact in

    • Advanced Steganography and Watermarking Techniques
    • Chaos-based Image/Signal Encryption
    • Digital Media Forensic Detection
    • Target Tracking and Data Fusion in Sensor Networks
    • Internet Traffic Analysis and Secure E-voting
    • Explainable Artificial Intelligence (XAI)

Papers in

Jonathan K. Su

18 papers receiving 729 citations

Peers

Jonathan K. Su
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 540
  • Artificial Intelligence 242
  • Signal Processing 71
  • Control and Systems Engineering 77
  • Computer Graphics and Computer-Aided Design 12
Replace Peiqi Chai with:
Peiqi Chai China
S. Srinivas Kumar India
Huanhuan Zhang China
Oliver J. Williams United Kingdom
Eric K. Garcia United States
Virendra Prasad Vishwakarma India
Jianfeng Zhang China
Won Joon Yun South Korea
Asif Masood Pakistan
B. V. Ravi Kumar India
Jonathan K. Su relative to Peiqi Chai China Peiqi Chai's profile →
Citations per field
00.5×2×3×
Peiqi Chai · 1×
Citations per year

Countries citing papers authored by Jonathan K. Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 14 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.

Border = papers with Jonathan K. Su Line = papers co-authored together Jonathan K. Su links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1999183
2 1999155
3
This Looks Like That: Deep Learning for Interpretable Image Recognition
201996
4 200059
5 199856
6 200055
7 200048
8 200139
9 202231
10 200125
11 200018
12 199913
13 201912
14 20044
15 20163
16 20251
17 20041
18 20241

About Jonathan K. Su

Jonathan K. Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Family Practice and Hardware and Architecture, having authored 18 papers that have together received 800 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (9 papers), Digital Media Forensic Detection (7 papers), Chaos-based Image/Signal Encryption (7 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Cardiac pacing and defibrillation studies (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Advanced Data Compression Techniques (1 paper) and Clinical Reasoning and Diagnostic Skills (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (540 citations), Artificial Intelligence (242 citations), Signal Processing (71 citations), Control and Systems Engineering (77 citations) and Computer Graphics and Computer-Aided Design (12 citations). Jonathan K. Su has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Bernd Girod, Frank H. Hartung, Edward W. Kamen, Joachim J. Eggers, Alina Jade Barnett, Oscar Li, Cynthia D Rudin, Chaofan Chen, Xiaohui Tao and Benjamin Chak Lum Lok. Their work appears in journals such as Heart Rhythm, JACC. Clinical electrophysiology, Signal Processing, Computers & Graphics and ECS Transactions.

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.

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