Donggi Augustine Lee
Impact in
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- Parallel Computing and Optimization Techniques
Papers in
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- Machine Learning in Healthcare 3
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- Dementia and Cognitive Impairment Research 4
- Co-authors
- Hyunjung Shin (16 shared papers)S. Dey (1 shared paper)Myung-Jun Kim (5 shared papers)Dokyoon Kim (3 shared papers)Yonghyun Nam (4 shared papers)Jaesik Kim (1 shared paper)Sang‐Hyuk Jung (1 shared paper)Erica H. Suh (1 shared paper)
- Journals
- Neural Networks (2 papers)Expert Systems with Applications (2 papers)BMC Medical Informatics and Decision Making (2 papers)PLoS ONE (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Donggi Augustine Lee
29 papers receiving 341 citations
Peers
Comparison fields: 5 of 91
- Health Informatics 4
- Hardware and Architecture 18
- Condensed Matter Physics 28
- Computer Networks and Communications 55
- Biological Psychiatry 5
Countries citing papers authored by Donggi Augustine Lee
This map shows the geographic impact of Donggi Augustine 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 Donggi Augustine Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donggi Augustine Lee more than expected).
Fields of papers citing papers by Donggi Augustine Lee
This network shows the impact of papers produced by Donggi Augustine 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 Donggi Augustine Lee. The network helps show where Donggi Augustine Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Donggi Augustine 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 60 | |
| 2 | 2003 | 39 | |
| 3 | 2018 | 38 | |
| 4 | 2022 | 25 | |
| 5 | 2023 | 19 | |
| 6 | 2017 | 18 | |
| 7 | 2015 | 18 | |
| 8 | 2022 | 16 | |
| 9 | 2017 | 15 | |
| 10 | 2019 | 13 | |
| 11 | 2015 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2018 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2023 | 4 |
About Donggi Augustine Lee
Donggi Augustine Lee is a scholar working on Artificial Intelligence, Psychiatry and Mental health, Hardware and Architecture, Computer Vision and Pattern Recognition and Signal Processing, having authored 37 papers that have together received 355 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Engineering Applied Research (4 papers), Dementia and Cognitive Impairment Research (4 papers), Advanced Data Storage Technologies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (4 citations), Hardware and Architecture (18 citations), Condensed Matter Physics (28 citations), Computer Networks and Communications (55 citations) and Biological Psychiatry (5 citations). Donggi Augustine Lee has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Hyunjung Shin, S. Dey, Myung-Jun Kim, Dokyoon Kim, Yonghyun Nam, Jaesik Kim, Sang‐Hyuk Jung, Erica H. Suh, Manu Shivakumar and Jaeheon Jeong. Their work appears in journals such as Neural Networks, Expert Systems with Applications, BMC Medical Informatics and Decision Making, PLoS ONE and Briefings in Bioinformatics.
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.