Bryant Chen
Impact in
-
- Advanced Malware Detection Techniques
Papers in
-
- Bayesian Modeling and Causal Inference 9
- Adversarial Robustness in Machine Learning 3
- Anomaly Detection Techniques and Applications 3
-
- Service-Oriented Architecture and Web Services 3
- Co-authors
- Heiko Ludwig (6 shared papers)Nathalie Baracaldo (3 shared papers)Judea Pearl (6 shared papers)Rui Zhang (1 shared paper)Elias Bareinboim (4 shared papers)Jin Tian (1 shared paper)Daniel Kumor (3 shared papers)Adarsh Subbaswamy (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)International Conference on Artificial Intelligence and Statistics (1 paper)eScholarship (California Digital Library) (1 paper)Neural Information Processing Systems (1 paper)AIP conference proceedings (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Bryant Chen
18 papers receiving 219 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 6
- Signal Processing 47
- Artificial Intelligence 140
- Statistics and Probability 23
- Computer Networks and Communications 48
Countries citing papers authored by Bryant Chen
This map shows the geographic impact of Bryant Chen'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 Bryant Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryant Chen more than expected).
Fields of papers citing papers by Bryant Chen
This network shows the impact of papers produced by Bryant Chen. 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 Bryant Chen. The network helps show where Bryant Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryant Chen, 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 | 2017 | 75 | |
| 2 | 2018 | 49 | |
| 3 | 2014 | 17 | |
| 4 | Sensitivity Analysis of Linear Structural Causal Models | 2019 | 15 |
| 5 | 2022 | 14 | |
| 6 | Regression and Causation: A Critical Examination of Six Econometrics Textbooks | 2013 | 14 |
| 7 | 2018 | 7 | |
| 8 | 2016 | 7 | |
| 9 | 2015 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2014 | 4 | |
| 12 | Identification and Overidentification of Linear Structural Equation Models | 2016 | 3 |
| 13 | 2017 | 3 | |
| 14 | Exploiting Equality Constraints in Causal Inference | 2021 | 2 |
| 15 | 2021 | 2 | |
| 16 | Domain-Independent Monitoring and Visualization of SLA Metrics in Multi-provider Environments - (Short Paper). | 2017 | 1 |
| 17 | 2009 | 1 | |
| 18 | 2019 | 1 |
About Bryant Chen
Bryant Chen is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computational Theory and Mathematics and Computer Networks and Communications, having authored 18 papers that have together received 224 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Adversarial Robustness in Machine Learning (3 papers), Service-Oriented Architecture and Web Services (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Causal Inference Techniques (2 papers), Advanced Malware Detection Techniques (2 papers), Software System Performance and Reliability (1 paper) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Health Informatics (6 citations), Signal Processing (47 citations), Artificial Intelligence (140 citations), Statistics and Probability (23 citations) and Computer Networks and Communications (48 citations). Bryant Chen has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Heiko Ludwig, Nathalie Baracaldo, Judea Pearl, Rui Zhang, Elias Bareinboim, Jin Tian, Daniel Kumor, Adarsh Subbaswamy, Suchi Saria and Carlos Cinelli. Their work appears in journals such as Lecture notes in computer science, International Conference on Artificial Intelligence and Statistics, eScholarship (California Digital Library), Neural Information Processing Systems and AIP conference proceedings.
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.