I-Ting Angelina Lee
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Information Systems top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Tao B. SchardlCharles E. LeisersonKunal AgrawalZhiyi HuangSilas Boyd-WickizerBradley C. KuszmaulWilliam M. LeisersonChenyang Lu
- Topics
- Parallel Computing and Optimization Techniques (25 papers)Distributed and Parallel Computing Systems (13 papers)Advanced Data Storage Technologies (12 papers)
- Journals
- ACM SIGPLAN NoticesACM SIGMETRICS Performance Evaluation ReviewProceedings of the ACM on Programming Languages
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
I-Ting Angelina Lee
30 papers receiving 244 citations
Peers
Comparison fields: 5 of 30
- Computer Networks and Communications 221
- Hardware and Architecture 195
- Information Systems 74
- Artificial Intelligence 24
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by I-Ting Angelina Lee
This map shows the geographic impact of I-Ting Angelina 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 I-Ting Angelina Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I-Ting Angelina Lee more than expected).
Fields of papers citing papers by I-Ting Angelina Lee
This network shows the impact of papers produced by I-Ting Angelina 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 I-Ting Angelina Lee. The network helps show where I-Ting Angelina Lee may publish in the future.
Co-authorship network of co-authors of I-Ting Angelina Lee
This figure shows the co-authorship network connecting the top 25 collaborators of I-Ting Angelina Lee. A scholar is included among the top collaborators of I-Ting Angelina Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with I-Ting Angelina Lee. I-Ting Angelina Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 8 | |
| 17 | 26 | |
| 18 | 10 | |
| 19 | 2 | |
| 20 | 7 |
About I-Ting Angelina Lee
I-Ting Angelina Lee is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 32 papers that have together received 255 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (25 papers), Distributed and Parallel Computing Systems (13 papers) and Advanced Data Storage Technologies (12 papers). The work is most often cited by research in Hardware and Architecture (195 citations), Computer Networks and Communications (221 citations) and Information Systems (74 citations). I-Ting Angelina Lee has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Tao B. Schardl, Charles E. Leiserson, Kunal Agrawal, Zhiyi Huang, Silas Boyd-Wickizer, Bradley C. Kuszmaul, William M. Leiserson, Chenyang Lu, Jing Li and Yuxiong He. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGMETRICS Performance Evaluation Review and Proceedings of the ACM on Programming Languages.
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.