Taesung Lee
- Molecular Biology
- Artificial Intelligence top 10%
- Surgery
- Polymers and Plastics top 10%
- Cancer Research
- Co-authors
- Young‐Chae ChangKwan‐Kyu ParkChang‐Sik HaIan MolloyBen EdwardsCheorl‐Ho KimIl KimJunji Magae
- Topics
- Adversarial Robustness in Machine Learning (6 papers)Natural Language Processing Techniques (6 papers)Topic Modeling (5 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBiochemical and Biophysical Research Communications
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Taesung Lee
54 papers receiving 990 citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 260
- Artificial Intelligence 201
- Surgery 109
- Polymers and Plastics 107
- Cancer Research 103
Countries citing papers authored by Taesung Lee
This map shows the geographic impact of Taesung 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 Taesung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taesung Lee more than expected).
Fields of papers citing papers by Taesung Lee
This network shows the impact of papers produced by Taesung 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 Taesung Lee. The network helps show where Taesung Lee may publish in the future.
Co-authorship network of co-authors of Taesung Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Taesung Lee. A scholar is included among the top collaborators of Taesung 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 Taesung Lee. Taesung 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 | 5 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 16 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 25 | |
| 14 | 34 | |
| 15 | Defending Against Model Stealing Attacks Using Deceptive Perturbations | 14 |
| 16 | Bootstrapping Entity Translation on Weakly Comparable Corpora | 11 |
| 17 | 4 | |
| 18 | Effects of Functional Magnetic Stimulation on Hemiplegic Shoulder Subluxation | 1 |
| 19 | Protective Relaying Algorithm for 3-Phase Power Transformer Protection based on Fuzzy Decision Making | 2 |
| 20 | A case of adult extrarenal Wilms' tumor originated from retroperitoneum | 0 |
About Taesung Lee
Taesung Lee is a scholar working on Molecular Medicine, Signal Processing and Microbiology, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (6 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Polymers and Plastics (107 citations), Cancer Research (103 citations) and Signal Processing (70 citations). Taesung Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Young‐Chae Chang, Kwan‐Kyu Park, Chang‐Sik Ha, Ian Molloy, Ben Edwards, Cheorl‐Ho Kim, Il Kim, Junji Magae, Haixun Wang and Zhongyuan Wang. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.
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.