Dongwon Lee
- Information Systems top 0.1%
- Service-Oriented Architecture and Web Services 24
- Web Data Mining and Analysis 21
- Artificial Intelligence top 0.2%
- Topic Modeling 30
- Semantic Web and Ontologies 20
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- Data Quality and Management 25
- Signal Processing top 1%
- Communication top 2%
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- Misinformation and Its Impacts 30
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- Advanced Database Systems and Queries 20
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- Complex Network Analysis Techniques 16
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Dongwon Lee
235 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Information Systems 2.4k
- Artificial Intelligence 2.9k
- Management Science and Operations Research 725
- Signal Processing 581
- Communication 307
Countries citing papers authored by Dongwon Lee
This map shows the geographic impact of Dongwon 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 Dongwon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongwon Lee more than expected).
Fields of papers citing papers by Dongwon Lee
This network shows the impact of papers produced by Dongwon 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 Dongwon Lee. The network helps show where Dongwon Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dongwon 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 23 | |
| 11 | A systematic review on fake news research through the lens of news creation and consumption: Research efforts, challenges, and future directions | 2021 | 2 |
| 12 | 2021 | 37 | |
| 13 | Using co-views information to learn lecture recommendations | 2011 | 1 |
| 14 | Efficient abstraction and refinement for behavioral description based web service composition | 2009 | 5 |
| 15 | Record linkage as dna sequence alignment problem | 2008 | 6 |
| 16 | The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics | 2008 | 149 |
| 17 | On the topological landscape of Web services matchmaking | 2006 | 8 |
| 18 | Deep set operators for XQuery | 2005 | 4 |
| 19 | Nesting-Based Relational-to-XML Schema Translation. | 2001 | 38 |
| 20 | Conjunctive Point Predicate-based Semantic Caching for Wrappers in Web Databases. | 1998 | 7 |
About Dongwon Lee
Dongwon Lee is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Networks and Communications and Signal Processing, having authored 252 papers that have together received 5.3k indexed citations. Recurring topics across this work include Topic Modeling (30 papers), Misinformation and Its Impacts (30 papers), Data Quality and Management (25 papers), Service-Oriented Architecture and Web Services (24 papers), Web Data Mining and Analysis (21 papers), Advanced Database Systems and Queries (20 papers), Semantic Web and Ontologies (20 papers) and Complex Network Analysis Techniques (16 papers). The work is most often cited by research in Information Systems (2.4k citations), Artificial Intelligence (2.9k citations), Management Science and Operations Research (725 citations), Signal Processing (581 citations) and Communication (307 citations). Dongwon Lee has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Suhang Wang, Kai Shu, Huan Liu, Thai Le, Limeng Cui, Wesley W. Chu, Soundar Kumara, Ergin Elmacioglu, María D. Molina and S. Shyam Sundar. Their work appears in journals such as Information Sciences, Communications of the ACM, PLoS ONE, Computer and MATERIALS TRANSACTIONS.
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.