T.L. Pan

736 total citations
17 papers, 583 citations indexed

About

T.L. Pan is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, T.L. Pan has authored 17 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 11 papers in Transportation and 11 papers in Building and Construction. Recurrent topics in T.L. Pan's work include Traffic control and management (11 papers), Traffic Prediction and Management Techniques (11 papers) and Transportation Planning and Optimization (10 papers). T.L. Pan is often cited by papers focused on Traffic control and management (11 papers), Traffic Prediction and Management Techniques (11 papers) and Transportation Planning and Optimization (10 papers). T.L. Pan collaborates with scholars based in Hong Kong, China and Thailand. T.L. Pan's co-authors include Renxin Zhong, Agachai Sumalee, W.Y. Szeto, William H. K. Lam, Can Chen, Yunping Huang, Shu‐Chien Hsu, Zicheng Su, Jie Luo and Tianshi Chen and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Applied Soft Computing and Transportation Research Part C Emerging Technologies.

In The Last Decade

T.L. Pan

16 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.L. Pan Hong Kong 11 451 401 359 91 70 17 583
Mohammadreza Saeedmanesh Switzerland 10 562 1.2× 541 1.3× 448 1.2× 110 1.2× 28 0.4× 23 700
Lukas Ambühl Switzerland 14 630 1.4× 669 1.7× 482 1.3× 185 2.0× 62 0.9× 37 846
Jordi Casas Spain 10 292 0.6× 312 0.8× 224 0.6× 137 1.5× 64 0.9× 44 486
Wenteng Ma United States 10 509 1.1× 391 1.0× 462 1.3× 117 1.3× 132 1.9× 18 630
Henk Taale Netherlands 14 424 0.9× 357 0.9× 248 0.7× 172 1.9× 74 1.1× 65 557
Tom Urbanik United States 8 457 1.0× 325 0.8× 310 0.9× 148 1.6× 122 1.7× 16 581
Jason S. Wasson United States 9 229 0.5× 340 0.8× 284 0.8× 54 0.6× 63 0.9× 14 468
Yannis Pavlis United States 5 362 0.8× 310 0.8× 283 0.8× 82 0.9× 75 1.1× 8 450
Shaun Quayle United States 6 344 0.8× 253 0.6× 288 0.8× 129 1.4× 111 1.6× 11 478
Simon Oh South Korea 13 275 0.6× 439 1.1× 336 0.9× 248 2.7× 45 0.6× 24 595

Countries citing papers authored by T.L. Pan

Since Specialization
Citations

This map shows the geographic impact of T.L. Pan'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 T.L. Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.L. Pan more than expected).

Fields of papers citing papers by T.L. Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.L. Pan. 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 T.L. Pan. The network helps show where T.L. Pan may publish in the future.

Co-authorship network of co-authors of T.L. Pan

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

All Works

17 of 17 papers shown
1.
Pan, T.L., Junyang He, Chao Chen, Yiming Li, & Feng Chen. (2025). NYC-Event-VPR: A Large-Scale High-Resolution Event-Based Visual Place Recognition Dataset in Dense Urban Environments. 4657–4664. 1 indexed citations
2.
Zhong, Caiming, et al.. (2024). Fair Spectral Clustering Based on Coordinate Descent. Symmetry. 17(1). 12–12.
3.
Chen, Can, Yunping Huang, William H. K. Lam, et al.. (2022). Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics. Transportation Research Part C Emerging Technologies. 142. 103759–103759. 41 indexed citations
4.
Huang, Yunping, Can Chen, Zicheng Su, et al.. (2021). Bus arrival time prediction and reliability analysis: An experimental comparison of functional data analysis and Bayesian support vector regression. Applied Soft Computing. 111. 107663–107663. 31 indexed citations
5.
Zhan, Zhi‐Hui, et al.. (2021). Stabilizing vehicular platoons mixed with regular human-piloted vehicles: an input-to-state string stability approach. Transportmetrica B Transport Dynamics. 9(1). 569–594. 10 indexed citations
6.
Zhong, Renxin, et al.. (2020). Dynamic feedback control of day-to-day traffic disequilibrium process. Transportation Research Part C Emerging Technologies. 114. 297–321. 13 indexed citations
7.
Zhong, Renxin, et al.. (2019). Modeling double time-scale travel time processes with application to assessing the resilience of transportation systems. Transportation Research Part B Methodological. 132. 228–248. 26 indexed citations
8.
Lin, Shu, et al.. (2018). Stochastic Link Flow Model for Signalized Traffic Networks with Uncertainty in Demand. IFAC-PapersOnLine. 51(9). 458–463. 10 indexed citations
9.
Pan, T.L., William H. K. Lam, Agachai Sumalee, & Renxin Zhong. (2016). Modeling the impacts of mandatory and discretionary lane-changing maneuvers. Transportation Research Part C Emerging Technologies. 68. 403–424. 66 indexed citations
10.
Zhong, Renxin, et al.. (2015). Linear complementarity system approach to macroscopic freeway traffic modelling: uniqueness and convexity. Transportmetrica A Transport Science. 12(2). 142–174. 9 indexed citations
11.
Zhong, Renxin, Agachai Sumalee, T.L. Pan, & William H. K. Lam. (2013). Optimal and robust strategies for freeway traffic management under demand and supply uncertainties: an overview and general theory. Transportmetrica A Transport Science. 10(10). 849–877. 36 indexed citations
12.
Pan, T.L., et al.. (2013). Short-Term Traffic State Prediction Based on Temporal–Spatial Correlation. IEEE Transactions on Intelligent Transportation Systems. 14(3). 1242–1254. 100 indexed citations
13.
Zhong, Renxin, Agachai Sumalee, T.L. Pan, & William H. K. Lam. (2011). Stochastic cell transmission model for traffic network with demand and supply uncertainties. Transportmetrica A Transport Science. 9(7). 567–602. 44 indexed citations
14.
Pan, T.L., Agachai Sumalee, & Renxin Zhong. (2010). The stochastic cell transmission model considering spatial and temporal correlations for traffic state prediction. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1 indexed citations
15.
Pan, T.L., et al.. (2010). AN EFFECTIVE INFORMATION SUPPORT SYSTEM FOR MEDICAL MANAGEMENT: INDICATOR BASED INTELLIGENCE SYSTEM. International Journal of Computers and Applications. 32(1). 1 indexed citations
16.
Sumalee, Agachai, Renxin Zhong, T.L. Pan, & W.Y. Szeto. (2010). Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment. Transportation Research Part B Methodological. 45(3). 507–533. 193 indexed citations
17.
Sumalee, Agachai, Renxin Zhong, W.Y. Szeto, & T.L. Pan. (2008). Stochastic cell transmission model under demand and supply uncertainties. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 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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