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 unified synchronization criterion for impulsive dynamical networks
2010773 citationsJianquan Lu, Daniel W. C. Ho et al.Automaticaprofile →
On robust stabilization of Markovian jump systems with uncertain switching probabilities
2005443 citationsJames Lam, Daniel W. C. Ho et al.Automaticaprofile →
Robust $H_{\infty}$ Control for Networked Systems With Random Packet Losses
Countries citing papers authored by Daniel W. C. Ho
Since
Specialization
Citations
This map shows the geographic impact of Daniel W. C. Ho'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 Daniel W. C. Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. C. Ho more than expected).
This network shows the impact of papers produced by Daniel W. C. Ho. 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 Daniel W. C. Ho. The network helps show where Daniel W. C. Ho may publish in the future.
Co-authorship network of co-authors of Daniel W. C. Ho
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. C. Ho.
A scholar is included among the top collaborators of Daniel W. C. Ho 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 Daniel W. C. Ho. Daniel W. C. Ho is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, Yonghui, Yugang Niu, & Daniel W. C. Ho. (2012). Sliding mode control for linear uncertain switched systems. Chinese Control Conference. 3177–3181.2 indexed citations
10.
Zhou, Lei, Guoping Lü, & Daniel W. C. Ho. (2011). Set invariance analysis for Lipschitz continuous singular systems subject to actuator saturation. Asian Control Conference. 518–523.3 indexed citations
11.
Huang, Chi, Daniel W. C. Ho, Wenjun Xiong, & Jianquan Lu. (2011). Two-targets tracking problem in sensor network with partial information transmission. Asian Control Conference. 671–676.
12.
Chen, Yao, Jinhu Lü, Xinghuo Yu, & Daniel W. C. Ho. (2011). Consensus of second order discrete-time multi-agent systems with switching topology. RMIT Research Repository (RMIT University Library). 5981–5986.2 indexed citations
13.
Lu, Jingwei, et al.. (2010). Convergence analysis of discrete-time multi-agent systems based on sequential connectivity. RMIT Research Repository (RMIT University Library).1 indexed citations
14.
Zuo, Zhiqiang, Daniel W. C. Ho, Yijing Wang, & Cuili Yang. (2009). A new approach for estimating the domain of attraction for linear systems with time-varying delay and saturating actuators. Asian Control Conference. 274–279.5 indexed citations
15.
Liu, Ming, Daniel W. C. Ho, & Jianquan Lu. (2009). On quantized control for Markovian jump linear system over networks with limited information. Asian Control Conference. 226–231.3 indexed citations
16.
Gao, Zhiwei & Daniel W. C. Ho. (2006). On state-space realization of Bezout factorizations in singular systems. Northumbria Research Link (Northumbria University).2 indexed citations
17.
Xu, Jinhua, et al.. (2004). A constructive algorithm for feedforward neural networks. Asian Control Conference. 1. 659–664.2 indexed citations
18.
Gao, Zhiwei, et al.. (1999). A parameterization of reduced-order function observers for singular systems. Control and Intelligent Systems. 27(2). 50–58.4 indexed citations
19.
Ma, Zixiao, Vladimir B. Bajić, & Daniel W. C. Ho. (1999). Neural network based adaptive internal model control for nonlinear plants. 7. 63–78.
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.