James Bailey
Impact in
- Computational Mathematics top 1%
- Artificial Intelligence top 0.2%
- Adversarial Robustness in Machine Learning
- Advanced Clustering Algorithms Research
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
Papers in
-
- Advanced Clustering Algorithms Research 30
- Adversarial Robustness in Machine Learning 17
-
- Data Mining Algorithms and Applications 36
- Co-authors
- Julien Epps (2 shared papers)Xingjun Ma (26 shared papers)Nguyễn Xuân Vinh (8 shared papers)Yisen Wang (6 shared papers)Kotagiri Ramamohanarao (55 shared papers)Jinfeng Yi (2 shared papers)Feng Lu (2 shared papers)Jeffrey Chan (31 shared papers)
- Journals
- Lecture notes in computer science (68 papers)Knowledge and Information Systems (6 papers)Pattern Recognition (5 papers)Data Mining and Knowledge Discovery (5 papers)Machine Learning (4 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
James Bailey
266 papers receiving 8.9k citations
James Bailey's Hit Papers
Peers
Comparison fields: 5 of 178
- Computational Mathematics 115
- Artificial Intelligence 4.4k
- Computer Science Applications 313
- Signal Processing 337
- Computer Vision and Pattern Recognition 918
Countries citing papers authored by James Bailey
This map shows the geographic impact of James Bailey'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 James Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Bailey more than expected).
Fields of papers citing papers by James Bailey
This network shows the impact of papers produced by James Bailey. 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 James Bailey. The network helps show where James Bailey may publish in the future.
Co-authors
The 25 scholars most cited alongside James Bailey, 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 279 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance Hit paper breakdown → | 2010 | 1378 |
| 2 | Symmetric Cross Entropy for Robust Learning With Noisy Labels Hit paper breakdown → | 2019 | 700 |
| 3 | Information theoretic measures for clusterings comparison Hit paper breakdown → | 2009 | 670 |
| 4 | Understanding adversarial attacks on deep learning based medical image analysis systems Hit paper breakdown → | 2020 | 383 |
| 5 | Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Hit paper breakdown → | 2020 | 331 |
| 6 | 2018 | 226 | |
| 7 | 2020 | 175 | |
| 8 | 2020 | 172 | |
| 9 | Improving Adversarial Robustness Requires Revisiting Misclassified Examples | 2020 | 166 |
| 10 | 2015 | 165 | |
| 11 | 2012 | 156 | |
| 12 | 2005 | 134 | |
| 13 | 2010 | 126 | |
| 14 | 2006 | 116 | |
| 15 | 2006 | 100 | |
| 16 | 2019 | 98 | |
| 17 | 2014 | 94 | |
| 18 | 2015 | 91 | |
| 19 | 2016 | 89 | |
| 20 | 1985 | 87 |
About James Bailey
James Bailey is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 279 papers that have together received 9.2k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (36 papers), Advanced Clustering Algorithms Research (30 papers), Advanced Database Systems and Queries (21 papers), Surgical Simulation and Training (18 papers), Adversarial Robustness in Machine Learning (17 papers), Complex Network Analysis Techniques (16 papers), Online Learning and Analytics (15 papers) and Data Management and Algorithms (14 papers). The work is most often cited by research in Computational Mathematics (115 citations), Artificial Intelligence (4.4k citations), Computer Science Applications (313 citations), Signal Processing (337 citations) and Computer Vision and Pattern Recognition (918 citations). James Bailey has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Julien Epps, Xingjun Ma, Nguyễn Xuân Vinh, Yisen Wang, Kotagiri Ramamohanarao, Jinfeng Yi, Feng Lu, Jeffrey Chan, Yuan Luo and Guozhu Dong. Their work appears in journals such as Lecture notes in computer science, Knowledge and Information Systems, Pattern Recognition, Data Mining and Knowledge Discovery and Machine Learning.
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.