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.
Safety-enhanced UAV path planning with spherical vector-based particle swarm optimization
2021334 citationsManh Duong Phung, Q. P. Haprofile →
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 Q. P. Ha'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 Q. P. Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Q. P. Ha more than expected).
This network shows the impact of papers produced by Q. P. Ha. 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 Q. P. Ha. The network helps show where Q. P. Ha may publish in the future.
Co-authorship network of co-authors of Q. P. Ha
This figure shows the co-authorship network connecting the top 25 collaborators of Q. P. Ha.
A scholar is included among the top collaborators of Q. P. Ha 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 Q. P. Ha. Q. P. Ha is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Phung, Manh Duong, et al.. (2017). Automatic crack detection in built infrastructure using unmanned aerial vehicles. UTS ePRESS (University of Technology Sydney).26 indexed citations
Samali, Bijan, et al.. (2010). Adaptive Neuro-fuzzy Modelling of a High-rise Structure Equipped with an Active Tuned Mass Damper. 1123.1 indexed citations
11.
Su, Steven W., et al.. (2008). Design of a variable reactor for load balancing and harmonics elimination. UTS ePRESS (University of Technology Sydney). 1–6.7 indexed citations
12.
Kwok, N. M., Q. P. Ha, Shoudong Huang, Gamini Dissanayake, & Gu Fang. (2007). Mobile Robot Localization and Mapping using a Gaussian Sum Filter. International Journal of Control Automation and Systems. 5(3). 251–268.12 indexed citations
13.
Ha, Q. P. & Gamini Dissanayake. (2006). Robust Formation of Multiple Robots Using Reactive Variable Structure Systems.. 1. 181–190.2 indexed citations
14.
Ha, Q. P., et al.. (2004). Observer-based decentralized approach to robotic formation control. UTS ePRESS (University of Technology Sydney). 1–8.12 indexed citations
15.
Ha, Q. P., et al.. (2004). Simultaneous state and input estimation with application to a two-link robotic system. Deakin Research Online (Deakin University). 1. 322–328.3 indexed citations
16.
Ha, Q. P. & Hieu Trinh. (2000). A variable structure-based controller with fuzzy tuning for load-frequency control. International Journal of Power and Energy Systems. 20(3). 146–154.14 indexed citations
17.
Zhang, Man, Xi Yu, & Q. P. Ha. (1997). Adaptive control using fuzzy basis function expansion for SISO linearizable nonlinear systems. Figshare. 3. 695–698.3 indexed citations
18.
Ha, Q. P., et al.. (1996). On the parameter-sensitivity problem in control system of DC-motor position drives. eCite Digital Repository (University of Tasmania).
19.
Ha, Q. P., et al.. (1995). DC-Motor Position Drives with Robust Modal Control. Elektrichestvo. 17–22.1 indexed citations
20.
Ha, Q. P., et al.. (1994). Robust Modal Controller for Position Drives. 609.1 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.