Ye Chow Kuang
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Melanie Po‐Leen OoiSerge DemidenkoArvind RajanRini AkmeliawatiChee Pin TanLindsay KleemanKok Yew NgAkhil Garg
- Topics
- Industrial Vision Systems and Defect Detection (16 papers)Scientific Measurement and Uncertainty Evaluation (11 papers)Probabilistic and Robust Engineering Design (11 papers)
- Cited by
- Human-Computer InteractionStatistics, Probability and UncertaintyIndustrial and Manufacturing Engineering
- Partner nations
- MalaysiaNew ZealandAustralia
In The Last Decade
Ye Chow Kuang
94 papers receiving 854 citations
Peers
Comparison fields: 5 of 130
- Electrical and Electronic Engineering 191
- Industrial and Manufacturing Engineering 144
- Computer Vision and Pattern Recognition 140
- Biomedical Engineering 124
- Statistics, Probability and Uncertainty 120
Countries citing papers authored by Ye Chow Kuang
This map shows the geographic impact of Ye Chow Kuang'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 Ye Chow Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Chow Kuang more than expected).
Fields of papers citing papers by Ye Chow Kuang
This network shows the impact of papers produced by Ye Chow Kuang. 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 Ye Chow Kuang. The network helps show where Ye Chow Kuang may publish in the future.
Co-authorship network of co-authors of Ye Chow Kuang
This figure shows the co-authorship network connecting the top 25 collaborators of Ye Chow Kuang. A scholar is included among the top collaborators of Ye Chow Kuang 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 Ye Chow Kuang. Ye Chow Kuang 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 26 | |
| 15 | AsyncTaichi: Whole-Program Optimizations for Megakernel Sparse Computation and Differentiable Programming. | 1 |
| 16 | 18 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | 17 |
About Ye Chow Kuang
Ye Chow Kuang is a scholar working on Statistics, Probability and Uncertainty, Hardware and Architecture and Industrial and Manufacturing Engineering, having authored 104 papers that have together received 893 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (16 papers), Scientific Measurement and Uncertainty Evaluation (11 papers) and Probabilistic and Robust Engineering Design (11 papers). The work is most often cited by research in Human-Computer Interaction (93 citations), Statistics, Probability and Uncertainty (120 citations) and Industrial and Manufacturing Engineering (144 citations). Ye Chow Kuang has collaborated with scholars based in Malaysia, New Zealand and Australia. Frequent co-authors include Melanie Po‐Leen Ooi, Serge Demidenko, Arvind Rajan, Rini Akmeliawati, Chee Pin Tan, Lindsay Kleeman, Kok Yew Ng, Akhil Garg, Christopher Edwards and V. Vijayaraghavan. Their work appears in journals such as Advanced Materials, Applied and Environmental Microbiology and Optics Express.
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.