G.K.H. Pang
- Industrial and Manufacturing Engineering top 0.05%
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.2%
- Electrical and Electronic Engineering top 5%
- Computational Mechanics top 1%
- Co-authors
- Henry Y. T. NganChi-Ho ChanN.H.C. YungAjay KumarYa-Li HouSiu Pang YungMichael K. NgK.L. Choy
- Topics
- Industrial Vision Systems and Defect Detection (30 papers)Optical measurement and interference techniques (17 papers)Surface Roughness and Optical Measurements (15 papers)
- Cited by
- Industrial and Manufacturing EngineeringMedia TechnologyComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaAutomaticaExpert Systems with Applications
In The Last Decade
G.K.H. Pang
138 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Industrial and Manufacturing Engineering 2.2k
- Computer Vision and Pattern Recognition 1.7k
- Media Technology 1.2k
- Electrical and Electronic Engineering 833
- Computational Mechanics 751
Countries citing papers authored by G.K.H. Pang
This map shows the geographic impact of G.K.H. Pang'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 G.K.H. Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.K.H. Pang more than expected).
Fields of papers citing papers by G.K.H. Pang
This network shows the impact of papers produced by G.K.H. Pang. 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 G.K.H. Pang. The network helps show where G.K.H. Pang may publish in the future.
Co-authorship network of co-authors of G.K.H. Pang
This figure shows the co-authorship network connecting the top 25 collaborators of G.K.H. Pang. A scholar is included among the top collaborators of G.K.H. Pang 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 G.K.H. Pang. G.K.H. Pang 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 | 100 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 98 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 202 | |
| 10 | 1 | |
| 11 | 90 | |
| 12 | 78 | |
| 13 | 55 | |
| 14 | 19 | |
| 15 | A NOVEL CAMERA CALIBRATION TECHNIQUE FOR VISUAL TRAFFIC SURVEILLANCE | 4 |
| 16 | Coefficient Diagram method Toolbox for use with MATLAB | 1 |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 5 |
About G.K.H. Pang
G.K.H. Pang is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 150 papers that have together received 3.9k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (30 papers), Optical measurement and interference techniques (17 papers) and Surface Roughness and Optical Measurements (15 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (2.2k citations), Media Technology (1.2k citations) and Computer Vision and Pattern Recognition (1.7k citations). G.K.H. Pang has collaborated with scholars based in Hong Kong, Canada and China. Frequent co-authors include Henry Y. T. Ngan, Chi-Ho Chan, N.H.C. Yung, Ajay Kumar, Ya-Li Hou, Siu Pang Yung, Michael K. Ng, K.L. Choy, Hugh H. T. Liu and H.Y. Lam. Their work appears in journals such as SHILAP Revista de lepidopterología, Automatica and Expert Systems with Applications.
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.