Chee Lap Chow
Impact in
- Artificial Intelligence top 1%
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Bioengineering top 2%
- Analytical Chemistry and Sensors
Papers in
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- Gas Sensing Nanomaterials and Sensors 9
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- ZnO doping and properties 4
- Co-authors
- Ooi Kiang Tan (11 shared papers)Man Siu Tse (10 shared papers)Qing Zhang (1 shared paper)Ning Peng (1 shared paper)Nicola Marzari (1 shared paper)Hui Huang (5 shared papers)Timothy J. White (2 shared papers)Hao Gong (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (3 papers)Sensors and Actuators B Chemical (2 papers)Small (2 papers)Nano Letters (1 paper)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)
- Partner nations
- SingaporeUnited StatesJapan
In The Last Decade
Chee Lap Chow
22 papers receiving 2.9k citations
Chee Lap Chow's Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 1.7k
- Bioengineering 218
- Signal Processing 318
- Statistics and Probability 220
- Computer Vision and Pattern Recognition 436
Countries citing papers authored by Chee Lap Chow
This map shows the geographic impact of Chee Lap Chow'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 Chee Lap Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee Lap Chow more than expected).
Fields of papers citing papers by Chee Lap Chow
This network shows the impact of papers produced by Chee Lap Chow. 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 Chee Lap Chow. The network helps show where Chee Lap Chow may publish in the future.
Co-authors
The 25 scholars most cited alongside Chee Lap Chow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Approximating discrete probability distributions with dependence trees Hit paper breakdown → | 1968 | 1821 |
| 2 | On optimum recognition error and reject tradeoff Hit paper breakdown → | 1970 | 599 |
| 3 | 2011 | 230 | |
| 4 | 2009 | 215 | |
| 5 | 2011 | 55 | |
| 6 | 2014 | 36 | |
| 7 | 2009 | 35 | |
| 8 | 1973 | 34 | |
| 9 | 2013 | 17 | |
| 10 | 2012 | 14 | |
| 11 | 2012 | 12 | |
| 12 | 2012 | 11 | |
| 13 | 1966 | 8 | |
| 14 | 2017 | 6 | |
| 15 | 2008 | 3 | |
| 16 | Overview of Project SPATIUM – Space Precision Atomic-clock Timing Utility Mission | 2019 | 3 |
| 17 | 2011 | 3 | |
| 18 | Investigations on Statistics of Terrain Height. | 1985 | 2 |
| 19 | 2017 | 2 | |
| 20 | 1976 | 1 |
About Chee Lap Chow
Chee Lap Chow is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Aerospace Engineering, Atomic and Molecular Physics, and Optics and Bioengineering, having authored 24 papers that have together received 3.1k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (9 papers), ZnO doping and properties (4 papers), Analytical Chemistry and Sensors (4 papers), Advanced Frequency and Time Standards (3 papers), Transition Metal Oxide Nanomaterials (2 papers), Ionosphere and magnetosphere dynamics (2 papers), GNSS positioning and interference (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Bioengineering (218 citations), Signal Processing (318 citations), Statistics and Probability (220 citations) and Computer Vision and Pattern Recognition (436 citations). Chee Lap Chow has collaborated with scholars based in Singapore, United States and Japan. Frequent co-authors include Ooi Kiang Tan, Man Siu Tse, Qing Zhang, Ning Peng, Nicola Marzari, Hui Huang, Timothy J. White, Hao Gong, Jun Guo and T. Wagner. Their work appears in journals such as IEEE Transactions on Information Theory, Sensors and Actuators B Chemical, Small, Nano Letters and Colloids and Surfaces A Physicochemical and Engineering Aspects.
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.