Frederick Liu
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Information Systems top 5%
Papers in
-
- Privacy-Preserving Technologies in Data 3
- Natural Language Processing Techniques 3
- Topic Modeling 3
-
- Privacy, Security, and Data Protection 5
- Co-authors
- Norman Sadeh (5 shared papers)Shomir Wilson (5 shared papers)Florian Schaub (4 shared papers)Chris Dyer (1 shared paper)Po-Yao Huang (1 shared paper)Jean Oh (1 shared paper)Sebastian Zimmeck (3 shared papers)Graham Neubig (2 shared papers)
- Journals
- ACM Transactions on the Web (1 paper)PS Political Science & Politics (1 paper)Journal of Cranio-Maxillofacial Surgery (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Frederick Liu
10 papers receiving 469 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 318
- Information Systems 120
- Sociology and Political Science 223
- Computer Vision and Pattern Recognition 100
- Computer Science Applications 20
Countries citing papers authored by Frederick Liu
This map shows the geographic impact of Frederick Liu'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 Frederick Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederick Liu more than expected).
Fields of papers citing papers by Frederick Liu
This network shows the impact of papers produced by Frederick Liu. 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 Frederick Liu. The network helps show where Frederick Liu may publish in the future.
Co-authors
The 23 scholars most cited alongside Frederick Liu, 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 | 2016 | 169 | |
| 2 | 2016 | 110 | |
| 3 | 2016 | 48 | |
| 4 | 2018 | 33 | |
| 5 | 2017 | 33 | |
| 6 | 2018 | 29 | |
| 7 | 2014 | 24 | |
| 8 | 2018 | 22 | |
| 9 | Analyzing vocabulary intersections of expert annotations and topic models for data practices in privacy policies | 2016 | 12 |
| 10 | 2005 | 7 | |
| 11 | 2011 | 1 |
About Frederick Liu
Frederick Liu is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Science Applications, Political Science and International Relations and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 488 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (5 papers), Privacy-Preserving Technologies in Data (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Legal Systems and Judicial Processes (2 papers), Multimodal Machine Learning Applications (2 papers) and Facial Trauma and Fracture Management (1 paper). The work is most often cited by research in Artificial Intelligence (318 citations), Information Systems (120 citations), Sociology and Political Science (223 citations), Computer Vision and Pattern Recognition (100 citations) and Computer Science Applications (20 citations). Frederick Liu has collaborated with scholars based in United States. Frequent co-authors include Norman Sadeh, Shomir Wilson, Florian Schaub, Chris Dyer, Po-Yao Huang, Jean Oh, Sebastian Zimmeck, Graham Neubig, Kanthashree Mysore Sathyendra and Thomas Norton. Their work appears in journals such as ACM Transactions on the Web, PS Political Science & Politics, Journal of Cranio-Maxillofacial Surgery, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) and SSRN Electronic Journal.
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.