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.
Poisoning Network Visibility in Software-Defined Networks: New Attacks and Countermeasures
2015295 citationsSungmin Hong, Lei Xu 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 Sungmin Hong'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 Sungmin Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungmin Hong more than expected).
This network shows the impact of papers produced by Sungmin Hong. 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 Sungmin Hong. The network helps show where Sungmin Hong may publish in the future.
Co-authorship network of co-authors of Sungmin Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Sungmin Hong.
A scholar is included among the top collaborators of Sungmin Hong 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 Sungmin Hong. Sungmin Hong is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kim, Ki‐Yong, et al.. (2018). The methodology for identifying aggressive driving using driving behavior patterns. KTH Publication Database DiVA (KTH Royal Institute of Technology).1 indexed citations
Xu, Lei, Jeff Huang, Sungmin Hong, Jialong Zhang, & Guofei Gu. (2017). Attacking the Brain: Races in the SDN Control Plane. USENIX Security Symposium. 451–468.40 indexed citations
Hong, Sungmin, Joon-Ki Kim, Cheol Oh, & Gudmundur F. Úlfarsson. (2014). The Effect of Road Environment Factors on Freeway Traffic Crash Frequency During Daylight, Twilight, and Night Conditions. Transportation Research Board 93rd Annual MeetingTransportation Research Board.1 indexed citations
Hong, Sungmin, Joon-Ki Kim, Cheol Oh, & Gudmundur F. Úlfarsson. (2013). Analysis of Factors Affecting Freeway Traffic Crash Frequency Under Different Light Conditions with Random Parameter Count Models. Transportation Research Board 92nd Annual MeetingTransportation Research Board.1 indexed citations
15.
Song, Sejun, et al.. (2013). NEOD: Network Embedded On-line Disaster management framework for Software Defined Networking. Integrated Network Management. 492–498.18 indexed citations
16.
Oh, Cheol, et al.. (2012). Estimation of Traffic Deterioration by Snowfall on a Korean Freeway for Winter Operations. Transportation Research Board 91st Annual MeetingTransportation Research Board.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.