Mei Lam Tam
- Transportation top 0.5%
- Building and Construction top 1%
- Control and Systems Engineering top 2%
- Automotive Engineering top 5%
- Signal Processing top 10%
- Topics
- Transportation Planning and Optimization (35 papers)Traffic Prediction and Management Techniques (31 papers)Traffic control and management (21 papers)
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Intelligent Transportation SystemsTransportation Research Part C Emerging Technologies
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Mei Lam Tam
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Transportation 885
- Building and Construction 564
- Control and Systems Engineering 399
- Automotive Engineering 266
- Signal Processing 81
Countries citing papers authored by Mei Lam Tam
This map shows the geographic impact of Mei Lam Tam'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 Mei Lam Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Lam Tam more than expected).
Fields of papers citing papers by Mei Lam Tam
This network shows the impact of papers produced by Mei Lam Tam. 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 Mei Lam Tam. The network helps show where Mei Lam Tam may publish in the future.
Co-authorship network of co-authors of Mei Lam Tam
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Lam Tam. A scholar is included among the top collaborators of Mei Lam Tam 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 Mei Lam Tam. Mei Lam Tam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 58 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | Short-Term Travel Time Prediction for Congested Urban Road Networks | 13 |
| 14 | 69 | |
| 15 | Using Automatic Vehicle Identification Data for Estimating Current Travel Times in Hong Kong | 3 |
| 16 | 1 | |
| 17 | 38 | |
| 18 | 220 | |
| 19 | 42 | |
| 20 | Modelling speed-density relationships for real-time traveller information system development in Hong Kong | 1 |
About Mei Lam Tam
Mei Lam Tam is a scholar working on Transportation, Building and Construction and Control and Systems Engineering, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Transportation Planning and Optimization (35 papers), Traffic Prediction and Management Techniques (31 papers) and Traffic control and management (21 papers). The work is most often cited by research in Transportation (885 citations), Building and Construction (564 citations) and Automotive Engineering (266 citations). Mei Lam Tam has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include William H. K. Lam, Bin Yu, Hu Shao, Bi Yu Chen, Hu Shao, Xiangmin Li, Agachai Sumalee, Qingquan Li, Qiang Meng and K. S. Chan. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.
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.