Cuebong Wong
- Industrial and Manufacturing Engineering top 1%
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 5%
- Management Information Systems top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Duncan McFarlaneSanjay E. SarmaKevin J. AshtonErfu YangVernika AgarwalDongbing GuXiu-Tian YanCarmelo Mineo
- Topics
- Robot Manipulation and Learning (6 papers)Robotics and Sensor-Based Localization (6 papers)Robotic Path Planning Algorithms (6 papers)
- Journals
- SensorsBehavioural Brain ResearchThe International Journal of Advanced Manufacturing Technology
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Cuebong Wong
18 papers receiving 694 citations
Peers
Comparison fields: 5 of 77
- Industrial and Manufacturing Engineering 387
- Computer Vision and Pattern Recognition 122
- Media Technology 110
- Management Information Systems 87
- Control and Systems Engineering 80
Countries citing papers authored by Cuebong Wong
This map shows the geographic impact of Cuebong Wong'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 Cuebong Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuebong Wong more than expected).
Fields of papers citing papers by Cuebong Wong
This network shows the impact of papers produced by Cuebong Wong. 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 Cuebong Wong. The network helps show where Cuebong Wong may publish in the future.
Co-authorship network of co-authors of Cuebong Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Cuebong Wong. A scholar is included among the top collaborators of Cuebong Wong 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 Cuebong Wong. Cuebong Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 22 | |
| 6 | 18 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 58 | |
| 10 | 30 | |
| 11 | Robots in industry : a shift towards autonomous and intelligent systems in the digital age | 2 |
| 12 | 27 | |
| 13 | 5 | |
| 14 | 296 | |
| 15 | 164 | |
| 16 | THE INTELLIGENT PRODUCT IN MANUFACTURING CONTROL | 16 |
| 17 | 17 | |
| 18 | 54 |
About Cuebong Wong
Cuebong Wong is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 18 papers that have together received 758 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Robotics and Sensor-Based Localization (6 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (387 citations), Media Technology (110 citations) and Management Information Systems (87 citations). Cuebong Wong has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Duncan McFarlane, Sanjay E. Sarma, Kevin J. Ashton, Erfu Yang, Vernika Agarwal, Dongbing Gu, Xiu-Tian Yan, Carmelo Mineo, David Kortenkamp and Bruce Cowan. Their work appears in journals such as Sensors, Behavioural Brain Research and The International Journal of Advanced Manufacturing Technology.
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.