Kit Yan Chan

3.6k total citations · 1 hit paper
145 papers, 2.6k citations indexed

About

Kit Yan Chan is a scholar working on Electrical and Electronic Engineering, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Kit Yan Chan has authored 145 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 26 papers in Social Psychology and 25 papers in Artificial Intelligence. Recurrent topics in Kit Yan Chan's work include Advanced MIMO Systems Optimization (30 papers), Color perception and design (26 papers) and Cooperative Communication and Network Coding (17 papers). Kit Yan Chan is often cited by papers focused on Advanced MIMO Systems Optimization (30 papers), Color perception and design (26 papers) and Cooperative Communication and Network Coding (17 papers). Kit Yan Chan collaborates with scholars based in Australia, Hong Kong and China. Kit Yan Chan's co-authors include Tharam S. Dillon, C.K. Kwong, Elizabeth Chang, Jaipal Singh, Sai Ho Ling, Hak‐Keung Lam, Zhixin Liu, Xinping Guan, F.H.F. Leung and T.C. Wong and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Kit Yan Chan

136 papers receiving 2.5k citations

Hit Papers

Neural-Network-Based Models for Short-Term Traffic Flow F... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kit Yan Chan Australia 27 641 576 560 486 347 145 2.6k
Shuo Feng China 22 543 0.8× 1.4k 2.4× 521 0.9× 323 0.7× 384 1.1× 50 2.9k
Lingxi Li United States 31 478 0.7× 808 1.4× 388 0.7× 416 0.9× 260 0.7× 187 3.1k
Enrique Onieva Spain 26 691 1.1× 908 1.6× 506 0.9× 593 1.2× 439 1.3× 96 2.7k
Fenghua Zhu China 26 366 0.6× 823 1.4× 428 0.8× 876 1.8× 730 2.1× 165 3.1k
Yilun Lin China 17 441 0.7× 631 1.1× 229 0.4× 483 1.0× 247 0.7× 46 2.1k
Ding Zhao United States 30 996 1.6× 789 1.4× 342 0.6× 246 0.5× 106 0.3× 141 3.1k
Beatrice Lazzerini Italy 28 1.4k 2.1× 320 0.6× 319 0.6× 214 0.4× 140 0.4× 183 3.0k
Jun Jason Zhang United States 23 619 1.0× 371 0.6× 830 1.5× 239 0.5× 71 0.2× 104 2.3k
Jonathan Sprinkle United States 20 764 1.2× 1.1k 1.8× 397 0.7× 263 0.5× 439 1.3× 128 3.1k

Countries citing papers authored by Kit Yan Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kit Yan Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Kit Yan Chan. A scholar is included among the top collaborators of Kit Yan Chan 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 Kit Yan Chan. Kit Yan Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Na, Liu, et al.. (2024). Energy saving optimization for relay-assistance SWIPT network with nonlinear energy harvesting. AEU - International Journal of Electronics and Communications. 188. 155569–155569.
3.
Chan, Kit Yan, et al.. (2024). Resource management for computational offload in MEC networks with energy harvesting and relay assistance. Computer Communications. 222. 230–240. 2 indexed citations
4.
Kim, Dowon, et al.. (2024). Deep Machine Learning-Based Asset Management Approach for Oil- Immersed Power Transformers Using Dissolved Gas Analysis. IEEE Access. 12. 27794–27809. 25 indexed citations
5.
Liu, Zhixin, Wei Jiang, Wenxuan Chen, et al.. (2024). Joint Robust Power Control and Task Scheduling for Vehicular Offloading in Cloud-Assisted MEC Networks. IEEE Transactions on Network Science and Engineering. 12(2). 698–709. 2 indexed citations
6.
Chan, Kit Yan, et al.. (2024). A roulette wheel-based pruning method to simplify cumbersome deep neural networks. Neural Computing and Applications. 36(22). 13915–13933. 2 indexed citations
7.
Yiu, Ka Fai Cedric, et al.. (2023). Conjoining congestion speed-cycle patterns and deep learning neural network for short-term traffic speed forecasting. Applied Soft Computing. 138. 110154–110154. 13 indexed citations
8.
Jiang, Huimin, et al.. (2023). Developing Nonlinear Customer Preferences Models for Product Design Using Opining Mining and Multiobjective PSO‐Based ANFIS Approach. Computational Intelligence and Neuroscience. 2023(1). 6880172–6880172. 4 indexed citations
9.
Jiang, Huimin, et al.. (2023). Developing explicit customer preference models using fuzzy regression with nonlinear structure. Complex & Intelligent Systems. 9(5). 4899–4909. 3 indexed citations
11.
Xie, Yuan-ai, Zhixin Liu, Jiawen Kang, et al.. (2022). Secure Information Transmission for B5G HetNets: A Robust Game Approach. IEEE Internet of Things Journal. 9(21). 21505–21519. 4 indexed citations
12.
Jiang, Huimin, et al.. (2022). Model variational consumer preferences based on online reviews using sentiment analysis and PSO-based DENFIS approaches. Journal of Intelligent & Fuzzy Systems. 43(3). 2407–2418.
13.
Zhu, Heng, et al.. (2020). Optimization of base station density and user transmission power in multi-tier heterogeneous cellular systems. Computer Communications. 161. 334–343. 2 indexed citations
14.
Liu, Zhixin, Peng Zhang, Kai Ma, Xinping Guan, & Kit Yan Chan. (2019). Robust energy-efficient power allocation and relay selection for cooperative relay networks. Computer Communications. 145. 263–272. 6 indexed citations
15.
Lam, Hak‐Keung, Bo Xiao, Gaoxiang Ouyang, et al.. (2014). Variable weight neural networks and their applications on material surface and epilepsy seizure phase classifications. Neurocomputing. 149. 1177–1187. 18 indexed citations
16.
Chan, Kit Yan, et al.. (2014). Image deblurring for navigation systems of vision impaired people using sensor fusion data. eSpace (Curtin University). 1–6. 5 indexed citations
17.
Kwong, C.K., Kai-Tat Fung, Huimin Jiang, Kit Yan Chan, & Kin Wai Michael Siu. (2013). A Modified Dynamic Evolving Neural‐Fuzzy Approach to Modeling Customer Satisfaction for Affective Design. The Scientific World JOURNAL. 2013(1). 636948–636948. 8 indexed citations
18.
Yiu, Ka Fai Cedric, Kit Yan Chan, Nedelko Grbić, & Sven Nordholm. (2012). A hybrid design of beamformers for voice control devices. eSpace (Curtin University). 8(3). 533–544. 1 indexed citations
19.
Yiu, Ka Fai Cedric, Kit Yan Chan, Siow Yong Low, & Sven Nordholm. (2009). A multi-filter system for speech enhancement under lowsignal-to-noise ratios. Journal of Industrial and Management Optimization. 5(3). 671–682. 8 indexed citations
20.
Chan, Kit Yan, et al.. (2008). Investigation of Hybrid Particle Swarm Optimization Methods for Solving Transient-Stability Constrained Optimal Power Flow Problems. Engineering letters. 16(1). 61–67. 1 indexed citations

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.

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