Hongrae Lee
- Artificial Intelligence top 5%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Alon HalevyKyuseok ShimRaymond T. NgCong YuAnish Das SarmaJayant MadhavanFei WuHyeonji Kim
- Topics
- Data Quality and Management (10 papers)Web Data Mining and Analysis (10 papers)Data Management and Algorithms (10 papers)
- Journals
- Proceedings of the VLDB EndowmentACM Transactions on Database SystemsVery Large Data Bases
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Hongrae Lee
22 papers receiving 493 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 308
- Information Systems 223
- Management Science and Operations Research 194
- Signal Processing 159
- Computer Networks and Communications 154
Countries citing papers authored by Hongrae Lee
This map shows the geographic impact of Hongrae 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 Hongrae Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongrae Lee more than expected).
Fields of papers citing papers by Hongrae Lee
This network shows the impact of papers produced by Hongrae 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 Hongrae Lee. The network helps show where Hongrae Lee may publish in the future.
Co-authorship network of co-authors of Hongrae Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Hongrae Lee. A scholar is included among the top collaborators of Hongrae 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 Hongrae Lee. Hongrae 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 | 50 | |
| 2 | 1 | |
| 3 | 58 | |
| 4 | 11 | |
| 5 | Title Generation for Web Tables. | 1 |
| 6 | 33 | |
| 7 | 3 | |
| 8 | Applying WebTables in Practice | 36 |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | Big Data Storytelling Through Interactive Maps | 9 |
| 13 | 105 | |
| 14 | 14 | |
| 15 | 40 | |
| 16 | 25 | |
| 17 | 24 | |
| 18 | 11 | |
| 19 | 21 | |
| 20 | Extending q-grams to estimate selectivity of string matching with low edit distance | 38 |
About Hongrae Lee
Hongrae Lee is a scholar working on Signal Processing, Management Science and Operations Research and Information Systems, having authored 22 papers that have together received 522 indexed citations. Recurring topics across this work include Data Quality and Management (10 papers), Web Data Mining and Analysis (10 papers) and Data Management and Algorithms (10 papers). The work is most often cited by research in Management Science and Operations Research (194 citations), Signal Processing (159 citations) and Information Systems (223 citations). Hongrae Lee has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Alon Halevy, Kyuseok Shim, Raymond T. Ng, Cong Yu, Anish Das Sarma, Jayant Madhavan, Fei Wu, Hyeonji Kim, Wook-Shin Han and Nitin Gupta. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems and Very Large Data Bases.
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.