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.
This map shows the geographic impact of Chen‐Yu 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 Chen‐Yu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Yu Lee more than expected).
This network shows the impact of papers produced by Chen‐Yu 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 Chen‐Yu Lee. The network helps show where Chen‐Yu Lee may publish in the future.
Co-authorship network of co-authors of Chen‐Yu Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Chen‐Yu Lee.
A scholar is included among the top collaborators of Chen‐Yu 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 Chen‐Yu Lee. Chen‐Yu Lee is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Zifeng, Zizhao Zhang, Chen‐Yu Lee, et al.. (2022). Learning to Prompt for Continual Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 139–149.329 indexed citations breakdown →
7.
Zhao, Chen, Vijay Badrinarayanan, Chen‐Yu Lee, & Andrew Rabinovich. (2018). GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. International Conference on Machine Learning. 794–803.122 indexed citations
Lee, Chen‐Yu, et al.. (2014). Security Through Software Rejuvenation. International Conference on Software Engineering Advances. 347–353.1 indexed citations
14.
Lee, Chen‐Yu, et al.. (2012). SMOKE DETECTION USING SPATIAL AND TEMPORAL ANALYSES. International journal of innovative computing, information & control. 8. 4749–4770.41 indexed citations
Lee, Chen‐Yu, et al.. (2009). A Transpositional Advanced Encryption Standard (AES) Resists 3-round Square Attack. International journal of innovative computing, information & control. 5(5). 1253–1264.1 indexed citations
Lee, Chen‐Yu & Jao‐Hong Cheng. (2008). A fuzzy AHP application on evaluation of high-yield bond investment. WSEAS Transactions on Information Science and Applications archive. 5(6). 1044–1056.7 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.