Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media
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).
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 of co-authors of Dongwon Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Dongwon Lee.
A scholar is included among the top collaborators of Dongwon 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 Dongwon Lee. Dongwon Lee is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lee, Jooyoung, Thai Le, Jinghui Chen, & Dongwon Lee. (2023). Do Language Models Plagiarize?. Zenodo (CERN European Organization for Nuclear Research). 3637–3647.23 indexed citations
Xiong, Aiping, et al.. (2021). A systematic review on fake news research through the lens of news creation and consumption: Research efforts, challenges, and future directions. SHILAP Revista de lepidopterología.2 indexed citations
Kim, Young-Kyu, Dongwon Lee, Janghyuk Lee, Ji‐Hwan Lee, & Detmar W. Straub. (2018). Influential Users in Social Network Services: The Contingent Value of Connecting User Status and Brokerage. SSRN Electronic Journal.1 indexed citations
14.
Lee, Dongwon, et al.. (2011). Using co-views information to learn lecture recommendations. 770. 71–82.1 indexed citations
Nam, Wonhong, et al.. (2009). Efficient abstraction and refinement for behavioral description based web service composition. International Joint Conference on Artificial Intelligence. 1740–1745.5 indexed citations
17.
Hong, Yoojin, Tao Yang, Jaewoo Kang, & Dongwon Lee. (2008). Record linkage as dna sequence alignment problem. 13–22.6 indexed citations
18.
Bird, Steven, Robert Dale, Bonnie J. Dorr, et al.. (2008). The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics. Language Resources and Evaluation. 1755–1759.149 indexed citations
Luo, Bo, et al.. (2005). Deep set operators for XQuery. Acta Cytologica. 29(5). 805–9.4 indexed citations
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.