Kit Yan Chan
Impact in
- Transportation top 1%
- Transportation Planning and Optimization
- Building and Construction top 1%
- Traffic Prediction and Management Techniques
Papers in
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- Speech and Audio Processing 14
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- Color perception and design 30
- Co-authors
- Tharam Singh Dillon (31 shared papers)C.K. Kwong (33 shared papers)Elizabeth Chang (5 shared papers)Jaipal Singh (3 shared papers)Sai Ho Ling (22 shared papers)Hak‐Keung Lam (11 shared papers)Zhixin Liu (25 shared papers)Xinping Guan (20 shared papers)
In The Last Decade
Kit Yan Chan
160 papers receiving 2.9k citations
Kit Yan Chan's Hit Papers
Peers
Comparison fields: 5 of 139
- Transportation 378
- Building and Construction 534
- Control and Systems Engineering 621
- Artificial Intelligence 741
- Management Science and Operations Research 250
Countries citing papers authored by Kit Yan Chan
This map shows the geographic impact of Kit Yan Chan'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 Kit Yan Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kit Yan Chan more than expected).
Fields of papers citing papers by Kit Yan Chan
This network shows the impact of papers produced by Kit Yan Chan. 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 Kit Yan Chan. The network helps show where Kit Yan Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kit Yan Chan, 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm Hit paper breakdown → | 2011 | 369 |
| 2 | 2008 | 226 | |
| 3 | Deep neural networks in the cloud: Review, applications, challenges and research directions Hit paper breakdown → | 2023 | 120 |
| 4 | 2016 | 105 | |
| 5 | 2012 | 74 | |
| 6 | 2009 | 72 | |
| 7 | 2019 | 67 | |
| 8 | 2011 | 63 | |
| 9 | 2018 | 63 | |
| 10 | 2012 | 58 | |
| 11 | 2010 | 57 | |
| 12 | 2018 | 54 | |
| 13 | 2011 | 49 | |
| 14 | 2020 | 47 | |
| 15 | 2010 | 47 | |
| 16 | 2014 | 45 | |
| 17 | 2009 | 44 | |
| 18 | 2018 | 42 | |
| 19 | 2011 | 39 | |
| 20 | 2012 | 39 |
About Kit Yan Chan
Kit Yan Chan is a scholar working on Signal Processing, Social Psychology, Management of Technology and Innovation, Management Science and Operations Research and Artificial Intelligence, having authored 169 papers that have together received 3.0k indexed citations. Recurring topics across this work include Color perception and design (30 papers), Advanced MIMO Systems Optimization (30 papers), Cooperative Communication and Network Coding (17 papers), Speech and Audio Processing (14 papers), Quality Function Deployment in Product Design (13 papers), Advanced Wireless Network Optimization (12 papers), Multi-Criteria Decision Making (11 papers) and Sensory Analysis and Statistical Methods (10 papers). The work is most often cited by research in Transportation (378 citations), Building and Construction (534 citations), Control and Systems Engineering (621 citations), Artificial Intelligence (741 citations) and Management Science and Operations Research (250 citations). Kit Yan Chan has collaborated with scholars based in Australia, Hong Kong and China. Frequent co-authors include Tharam Singh Dillon, C.K. Kwong, Elizabeth Chang, Jaipal Singh, Sai Ho Ling, Hak‐Keung Lam, Zhixin Liu, Xinping Guan, Bilal Abu-Salih and Frank H. F. Leung. Their work appears in journals such as Neurocomputing, Computer Communications, Engineering Applications of Artificial Intelligence, Applied Soft Computing and Computer Networks.
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.