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 Sung-Hyuk Cha'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 Sung-Hyuk Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Hyuk Cha more than expected).
This network shows the impact of papers produced by Sung-Hyuk Cha. 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 Sung-Hyuk Cha. The network helps show where Sung-Hyuk Cha may publish in the future.
Co-authorship network of co-authors of Sung-Hyuk Cha
This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Hyuk Cha.
A scholar is included among the top collaborators of Sung-Hyuk Cha 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 Sung-Hyuk Cha. Sung-Hyuk Cha is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cha, Sung-Hyuk, et al.. (2020). Variance Linear Discriminant Analysis for IRIS Biometrics.. The Florida AI Research Society. 504–508.1 indexed citations
Kim, Chulwoo, et al.. (2017). On ROC Curve Analysis of Artificial Neural Network Classifiers.. The Florida AI Research Society. 318–322.3 indexed citations
Gibbons, Michael C., et al.. (2005). Analyzing Open Biometric Identification Systems.. 111–118.1 indexed citations
11.
Cha, Sung-Hyuk, et al.. (2005). Applying Artificial Intelligence Techniques to Problems of Incomplete Information: Optimizing Bidding in the Game of Bridge. International Conference on Artificial Intelligence. 385–392.1 indexed citations
Cha, Sung-Hyuk, et al.. (2004). Interactive Flag Identification Using Image Retrieval Techniques.. 441–445.8 indexed citations
14.
Cha, Sung-Hyuk, et al.. (2004). Use of Histogram Distances in Iris Authentication.. International Conference on Artificial Intelligence. 1023–1027.9 indexed citations
15.
Cha, Sung-Hyuk, et al.. (2004). Interactive Flag Identification. Pace Digital Repository (Pace University).1 indexed citations
16.
Cha, Sung-Hyuk. (2002). A fast hue-based colour image indexing algorithm. 11(2). 285–295.5 indexed citations
Cha, Sung-Hyuk. (1998). Fast Image Template and Dictionary Matching Algorithms. 370–377.1 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.