John Boaz Lee
Impact in
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- Complex Network Analysis Techniques
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
Papers in
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- Complex Network Analysis Techniques 8
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- Advanced Graph Neural Networks 9
- Hate Speech and Cyberbullying Detection 2
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Ryan A. Rossi (9 shared papers)Nesreen K. Ahmed (8 shared papers)Sungchul Kim (7 shared papers)Eunyee Koh (5 shared papers)Xiangnan Kong (10 shared papers)Giang Hoang Nguyen (3 shared papers)Anup B. Rao (1 shared paper)Hoda Eldardiry (1 shared paper)
- Journals
- ACM Transactions on Knowledge Discovery from Data (2 papers)IEEE Transactions on Emerging Topics in Computational Intelligence (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Applied Network Science (1 paper)Journal of Information Processing (1 paper)
- Partner nations
- United StatesPhilippinesJapan
In The Last Decade
John Boaz Lee
20 papers receiving 1.0k citations
John Boaz Lee's Hit Papers
Peers
Comparison fields: 5 of 93
- Statistical and Nonlinear Physics 430
- Artificial Intelligence 802
- Computer Vision and Pattern Recognition 227
- Transportation 60
- Information Systems 180
Countries citing papers authored by John Boaz Lee
This map shows the geographic impact of John Boaz Lee'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 John Boaz Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Boaz Lee more than expected).
Fields of papers citing papers by John Boaz Lee
This network shows the impact of papers produced by John Boaz Lee. 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 John Boaz Lee. The network helps show where John Boaz Lee may publish in the future.
Co-authors
The 24 scholars most cited alongside John Boaz Lee, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Continuous-Time Dynamic Network Embeddings Hit paper breakdown → | 2018 | 376 |
| 2 | 2018 | 192 | |
| 3 | 2019 | 175 | |
| 4 | 2020 | 71 | |
| 5 | 2019 | 70 | |
| 6 | 2020 | 54 | |
| 7 | 2018 | 44 | |
| 8 | 2013 | 16 | |
| 9 | 2017 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2011 | 8 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 4 | |
| 15 | Skip-graph: Learning graph embeddings with an encoder-decoder model | 2017 | 3 |
| 16 | 2021 | 3 | |
| 17 | 2013 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2013 | 1 | |
| 20 | Temporal Network Representation Learning | 2019 | 1 |
About John Boaz Lee
John Boaz Lee is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Communication, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (9 papers), Complex Network Analysis Techniques (8 papers), Hate Speech and Cyberbullying Detection (2 papers), Public Relations and Crisis Communication (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Functional Brain Connectivity Studies (2 papers), Advanced Neural Network Applications (2 papers) and Wikis in Education and Collaboration (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (430 citations), Artificial Intelligence (802 citations), Computer Vision and Pattern Recognition (227 citations), Transportation (60 citations) and Information Systems (180 citations). John Boaz Lee has collaborated with scholars based in United States, Philippines and Japan. Frequent co-authors include Ryan A. Rossi, Nesreen K. Ahmed, Sungchul Kim, Eunyee Koh, Xiangnan Kong, Giang Hoang Nguyen, Anup B. Rao, Hoda Eldardiry, Theodore L. Willke and Rong Zhou. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Knowledge and Data Engineering, Applied Network Science and Journal of Information Processing.
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.