Kit Yan Chan

3.6k citations
146 papers · 2.6k · 1 hit paper · h-index 27

Impact in

Papers in

Kit Yan Chan

137 papers receiving 2.6k citations

Kit Yan Chan's Hit Papers

Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm 2011 · 346 citations
3460+5+10Years since publication100200300

Peers

Kit Yan Chan
Comparison fields: 5 of 138
  • Transportation 349
  • Building and Construction 488
  • Control and Systems Engineering 578
  • Artificial Intelligence 650
  • Management Science and Operations Research 217
Replace Beatrice Lazzerini with:
Beatrice Lazzerini Italy
Xiaoyan Sun China
Daqing Zhang China
Brahim Chaib-draa Canada
Shuo Feng China
Kunfeng Wang China
Faiyaz Doctor United Kingdom
Enrique Onieva Spain
Pawan Lingras Canada
Kit Yan Chan relative to Beatrice Lazzerini Italy Beatrice Lazzerini's profile →
Citations per field
00.5×1.5×2.5×
Beatrice Lazzerini · 1×
Citations per year

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-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.

Border = papers with Kit Yan Chan Line = papers co-authored together Kit Yan Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 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 →
2011346
2 2008206
3 201698
4 202391
5 201270
6 201966
7 200965
8 201161
9 201056
10 201854
11 201250
12 201149
13 201848
14 201445
15 201044
16 200943
17 202037
18 201137
19 201237
20 202035

About Kit Yan Chan

Kit Yan Chan is a scholar working on Electrical and Electronic Engineering, Social Psychology, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 146 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (30 papers), Color perception and design (26 papers), Cooperative Communication and Network Coding (17 papers), Advanced Wireless Network Optimization (12 papers), Speech and Audio Processing (12 papers), Traffic Prediction and Management Techniques (9 papers), Sensory Analysis and Statistical Methods (8 papers) and Advanced Adaptive Filtering Techniques (8 papers). The work is most often cited by research in Transportation (349 citations), Building and Construction (488 citations), Control and Systems Engineering (578 citations), Artificial Intelligence (650 citations) and Management Science and Operations Research (217 citations). Kit Yan Chan has collaborated with scholars based in Australia, Hong Kong and China. Frequent 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. Their work appears in journals such as Neurocomputing, Computer Communications, Engineering Applications of Artificial Intelligence, Computer Networks and Applied Soft Computing.

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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