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.
Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network
2022188 citationsYoung Sik Kim, Jong‐Seon No et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Young Sik Kim'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 Young Sik Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Sik Kim more than expected).
This network shows the impact of papers produced by Young Sik Kim. 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 Young Sik Kim. The network helps show where Young Sik Kim may publish in the future.
Co-authorship network of co-authors of Young Sik Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Young Sik Kim.
A scholar is included among the top collaborators of Young Sik Kim 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 Young Sik Kim. Young Sik Kim is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kim, Young Sik, et al.. (2014). Named Entity Corpus Construction using Wikipedia and DBpedia Ontology. Language Resources and Evaluation. 2565–2569.8 indexed citations
Kim, Young Sik & Man‐Jong Lee. (2012). Recognizability and Liquidity of Assets. RePEc: Research Papers in Economics. 28(2). 241–259.
8.
Seo, Changho, et al.. (2011). Characteristics and the Analyses of Cryptographic FCSR Sequences for Physical Layer Security. 38(5). 405–410.
9.
Jeong, Dong Wook, et al.. (2011). A Cost-Effectiveness Analysis on Primary Schooling in Seoul. Journal of Educational Administration. 29(2). 339–361.1 indexed citations
Kim, Young Sik, et al.. (2005). Analysis of Autocorrelation Distributions of M-ary Sidel’nikov Sequences. 한국통신학회 학술대회 및 강연회. 96–96.1 indexed citations
15.
Kim, Young Sik & Sungjoong Kim. (2004). The Design of Fuzzy P+ID Controller for Brushless DC Motor Speed Control. Journal of the Korea Academia-Industrial cooperation Society. 7(5). 627–630.2 indexed citations
Kim, Jung‐Hoon, et al.. (2004). Dietary Habits in Functional Dyspepsia.. Gajeong yihag hoeji. 25(1). 40–45.2 indexed citations
19.
Kim, Young Sik, et al.. (2001). Design of Efficient Electroluminescent lanthanide(III) Complexes. Bulletin of the Korean Chemical Society. 22(9). 1005–1008.5 indexed citations
20.
Nahm, Sahn, et al.. (1999). Effect of TiO 2 and SnO 2 on the microwave dielectric properties of Ba(Mg 1/3Ta 2/3)O 3 ceramics. Journal of the Korean Physical Society. 35.2 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.