Victor E. Lee
Impact in
- Information Systems top 10%
- Recommender Systems and Techniques
Papers in
-
- Advanced Graph Neural Networks 3
- Privacy-Preserving Technologies in Data 2
- Semantic Web and Ontologies 1
- Data Stream Mining Techniques 1
- Co-authors
- Feng Zhang (4 shared papers)Ruoming Jin (3 shared papers)Kim‐Kwang Raymond Choo (2 shared papers)Chunming Rong (1 shared paper)Guangzhi Qu (1 shared paper)Gansen Zhao (1 shared paper)Longjie Li (1 shared paper)Michele Maasberg (1 shared paper)
- Journals
- Information Sciences (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)Knowledge-Based Systems (1 paper)Journal of Parallel and Distributed Computing (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Victor E. Lee
8 papers receiving 182 citations
Peers
Comparison fields: 5 of 44
- Information Systems 106
- Computational Mathematics 2
- Artificial Intelligence 98
- Computer Vision and Pattern Recognition 46
- Transportation 15
Countries citing papers authored by Victor E. Lee
This map shows the geographic impact of Victor E. 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 Victor E. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor E. Lee more than expected).
Fields of papers citing papers by Victor E. Lee
This network shows the impact of papers produced by Victor E. 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 Victor E. Lee. The network helps show where Victor E. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Victor E. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 72 | |
| 2 | 2018 | 36 | |
| 3 | 2018 | 26 | |
| 4 | 2014 | 21 | |
| 5 | 2021 | 20 | |
| 6 | Decision Trees: Theory and Algorithms. | 2014 | 6 |
| 7 | 2018 | 5 | |
| 8 | 2022 | 2 |
About Victor E. Lee
Victor E. Lee is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 8 papers that have together received 188 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (2 papers), Privacy-Preserving Technologies in Data (2 papers), Semantic Web and Ontologies (1 paper), Data Stream Mining Techniques (1 paper), Image and Video Quality Assessment (1 paper), Access Control and Trust (1 paper) and Advanced Bandit Algorithms Research (1 paper). The work is most often cited by research in Information Systems (106 citations), Computational Mathematics (2 citations), Artificial Intelligence (98 citations), Computer Vision and Pattern Recognition (46 citations) and Transportation (15 citations). Victor E. Lee has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Feng Zhang, Ruoming Jin, Kim‐Kwang Raymond Choo, Chunming Rong, Guangzhi Qu, Gansen Zhao, Longjie Li, Michele Maasberg, Lijun Dong and Saurabh Garg. Their work appears in journals such as Information Sciences, ACM Transactions on Knowledge Discovery from Data, Knowledge-Based Systems, Journal of Parallel and Distributed Computing and Physica A Statistical Mechanics and its Applications.
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.