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.
A survey of multi-agent formation control
20141.7k citationsHyo‐Sung Ahn et al.Automaticaprofile →
Iterative Learning Control: Brief Survey and Categorization
20071.2k citationsHyo‐Sung Ahn, YangQuan Chen 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 Hyo‐Sung Ahn'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 Hyo‐Sung Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyo‐Sung Ahn more than expected).
This network shows the impact of papers produced by Hyo‐Sung Ahn. 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 Hyo‐Sung Ahn. The network helps show where Hyo‐Sung Ahn may publish in the future.
Co-authorship network of co-authors of Hyo‐Sung Ahn
This figure shows the co-authorship network connecting the top 25 collaborators of Hyo‐Sung Ahn.
A scholar is included among the top collaborators of Hyo‐Sung Ahn 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 Hyo‐Sung Ahn. Hyo‐Sung Ahn is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tran, Quoc Van, Zhiyong Sun, Brian D. O. Anderson, & Hyo‐Sung Ahn. (2020). Distributed Computation of Graph Matching in Multi-Agent Networks. TU/e Research Portal.9 indexed citations
Sakurama, Kazunori, et al.. (2019). A Decentralized Control Strategy for Urban Traffic Network. Asian Control Conference. 1–6.1 indexed citations
9.
Hoang, Phuong H., Chương V. Nguyen, & Hyo‐Sung Ahn. (2018). Distributed Energy Generation and Flow Optimization: A Simultaneous Approach. International Conference on Control, Automation and Systems.1 indexed citations
Ahn, Hyo‐Sung. (2012). Convergence analysis of fractional-order iterative learning control. Control theory & applications.15 indexed citations
14.
Ahn, Hyo‐Sung, et al.. (2011). A study on bilateral teleoperation with input saturation and systems. International Conference on Control, Automation and Systems. 161–166.12 indexed citations
15.
Ahn, Hyo‐Sung & YangQuan Chen. (2009). Iterative learning control for multi-agent formation. 2009 ICCAS-SICE. 3111–3116.90 indexed citations
Ahn, Hyo‐Sung, YangQuan Chen, & Wonpil Yu. (2007). Periodic Adaptive Compensation of State-dependent Disturbance in a Digital Servo Motor System. International Journal of Control Automation and Systems. 5(3). 343–348.8 indexed citations
20.
Ahn, Hyo‐Sung & Seon‐Ho Lee. (2003). Gyroless Attitude Estimation of the Sun-Pointing Mode Satellite. 제어로봇시스템학회 국제학술대회 논문집. 876–881.5 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.