Pak Yip
Impact in
- Control and Systems Engineering top 0.2%
- Adaptive Control of Nonlinear Systems
- Iterative Learning Control Systems
- Control and Dynamics of Mobile Robots
- Stability and Control of Uncertain Systems
- Advanced Control Systems Optimization
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- Adaptive Dynamic Programming Control
Papers in
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- Adaptive Control of Nonlinear Systems 6
- Dynamics and Control of Mechanical Systems 3
- Advanced Control Systems Optimization 2
- Iterative Learning Control Systems 1
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- Guidance and Control Systems 4
- Co-authors
- J. Karl Hedrick (6 shared papers)D. Swaroop (3 shared papers)J. Christian Gerdes (2 shared papers)Ching-Fang Lin (2 shared papers)Tie-Jun Yu (1 shared paper)Alexander Stotsky (1 shared paper)N. Coleman (1 shared paper)
- Journals
- International Journal of Control (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)International Journal of Applied Mathematics and Computer Science (1 paper)Journal of Dynamic Systems Measurement and Control (1 paper)IEEE Transactions on Automatic Control (1 paper)
- Partner nations
- United StatesSwedenIndia
In The Last Decade
Pak Yip
7 papers receiving 2.6k citations
Pak Yip's Hit Papers
Peers
Comparison fields: 5 of 44
- Control and Systems Engineering 2.5k
- Computational Theory and Mathematics 544
- Computer Networks and Communications 628
- Aerospace Engineering 543
- Ocean Engineering 163
Countries citing papers authored by Pak Yip
This map shows the geographic impact of Pak Yip'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 Pak Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pak Yip more than expected).
Fields of papers citing papers by Pak Yip
This network shows the impact of papers produced by Pak Yip. 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 Pak Yip. The network helps show where Pak Yip may publish in the future.
Co-authors
The 7 scholars most cited alongside Pak Yip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Dynamic surface control for a class of nonlinear systems Hit paper breakdown → | 2000 | 1931 |
| 2 | 1998 | 385 | |
| 3 | 1997 | 254 | |
| 4 | 2000 | 75 | |
| 5 | 2002 | 17 | |
| 6 | 1997 | 4 | |
| 7 | 1998 | 3 | |
| 8 | 1999 | 0 |
About Pak Yip
Pak Yip is a scholar working on Control and Systems Engineering, Aerospace Engineering, Statistical and Nonlinear Physics, Automotive Engineering and Computational Mechanics, having authored 8 papers that have together received 2.7k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (6 papers), Guidance and Control Systems (4 papers), Dynamics and Control of Mechanical Systems (3 papers), Advanced Control Systems Optimization (2 papers), Iterative Learning Control Systems (1 paper), Quantum chaos and dynamical systems (1 paper), Target Tracking and Data Fusion in Sensor Networks (1 paper) and Scientific Research and Discoveries (1 paper). The work is most often cited by research in Control and Systems Engineering (2.5k citations), Computational Theory and Mathematics (544 citations), Computer Networks and Communications (628 citations), Aerospace Engineering (543 citations) and Ocean Engineering (163 citations). Pak Yip has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include J. Karl Hedrick, D. Swaroop, J. Christian Gerdes, Ching-Fang Lin, Tie-Jun Yu, Alexander Stotsky and N. Coleman. Their work appears in journals such as International Journal of Control, SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Applied Mathematics and Computer Science, Journal of Dynamic Systems Measurement and Control and IEEE Transactions on Automatic Control.
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.