Pengcheng Liu
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Mechanical Engineering
- Aerospace Engineering top 10%
- Co-authors
- Hongnian YuShuang CangM. Nazmul HudaZhichuan TangZhi YanCheng ZhaoRustam StolkinTom Duckett
- Topics
- Robot Manipulation and Learning (9 papers)Robotic Path Planning Algorithms (7 papers)Soft Robotics and Applications (7 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionAerospace Engineering
- Partner nations
- ChinaUnited KingdomMalaysia
In The Last Decade
Pengcheng Liu
73 papers receiving 861 citations
Peers
Comparison fields: 5 of 101
- Control and Systems Engineering 309
- Computer Vision and Pattern Recognition 259
- Biomedical Engineering 186
- Mechanical Engineering 152
- Aerospace Engineering 114
Countries citing papers authored by Pengcheng Liu
This map shows the geographic impact of Pengcheng Liu'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 Pengcheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengcheng Liu more than expected).
Fields of papers citing papers by Pengcheng Liu
This network shows the impact of papers produced by Pengcheng Liu. 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 Pengcheng Liu. The network helps show where Pengcheng Liu may publish in the future.
Co-authorship network of co-authors of Pengcheng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Pengcheng Liu. A scholar is included among the top collaborators of Pengcheng Liu 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 Pengcheng Liu. Pengcheng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 24 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | New Methods of Productivity Prediction for Fractured Gas Wells | 2 |
| 17 | Research on hydraulic power plant monitor and control system based on NC2000 | 1 |
| 18 | Design of PV power station remote monitoring system data acquisition device | 7 |
| 19 | Stable characters of key stratum in stagger arrangement roadway layout top-coal caving mining | 1 |
| 20 | Using VBA to Design Curved Surface Based on CATIA Software | 3 |
About Pengcheng Liu
Pengcheng Liu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 82 papers that have together received 878 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Robotic Path Planning Algorithms (7 papers) and Soft Robotics and Applications (7 papers). The work is most often cited by research in Control and Systems Engineering (309 citations), Computer Vision and Pattern Recognition (259 citations) and Aerospace Engineering (114 citations). Pengcheng Liu has collaborated with scholars based in China, United Kingdom and Malaysia. Frequent co-authors include Hongnian Yu, Shuang Cang, M. Nazmul Huda, Zhichuan Tang, Zhi Yan, Cheng Zhao, Rustam Stolkin, Tom Duckett, Li Sun and Aihua Zhang. Their work appears in journals such as IEEE Access, Lithos and Applied Soft Computing.
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.