Tzu-Chang Lee

520 total citations
23 papers, 390 citations indexed

About

Tzu-Chang Lee is a scholar working on Transportation, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Tzu-Chang Lee has authored 23 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Transportation, 8 papers in Control and Systems Engineering and 7 papers in Building and Construction. Recurrent topics in Tzu-Chang Lee's work include Transportation Planning and Optimization (10 papers), Traffic control and management (8 papers) and Urban Transport and Accessibility (8 papers). Tzu-Chang Lee is often cited by papers focused on Transportation Planning and Optimization (10 papers), Traffic control and management (8 papers) and Urban Transport and Accessibility (8 papers). Tzu-Chang Lee collaborates with scholars based in Taiwan, United Kingdom and United States. Tzu-Chang Lee's co-authors include John Polak, Tomer Toledo, Venkatesan Kanagaraj, Gowri Asaithambi, K. I. Wong, Michael G H Bell, Satoshi Fujii, Dick Ettema, Prawira Fajarindra Belgiawan and Jan‐Dirk Schmöcker and has published in prestigious journals such as Accident Analysis & Prevention, Physica A Statistical Mechanics and its Applications and Safety Science.

In The Last Decade

Tzu-Chang Lee

21 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tzu-Chang Lee Taiwan 8 197 195 171 142 92 23 390
Antonino Canale Italy 14 91 0.5× 231 1.2× 113 0.7× 138 1.0× 122 1.3× 34 444
Babak Mehran Canada 12 158 0.8× 219 1.1× 126 0.7× 151 1.1× 167 1.8× 50 431
Jeong Whon Yu South Korea 10 154 0.8× 256 1.3× 73 0.4× 83 0.6× 150 1.6× 31 386
Kun Zhou China 10 129 0.7× 86 0.4× 59 0.3× 168 1.2× 63 0.7× 24 356
Navid Nadimi Iran 12 137 0.7× 132 0.7× 303 1.8× 142 1.0× 147 1.6× 39 454
Mohammed Almannaa Saudi Arabia 11 105 0.5× 209 1.1× 39 0.2× 192 1.4× 113 1.2× 31 371
Mingyang Pei China 12 115 0.6× 196 1.0× 41 0.2× 237 1.7× 84 0.9× 43 416
Khaled Assi Saudi Arabia 14 102 0.5× 195 1.0× 173 1.0× 83 0.6× 191 2.1× 23 445
Bongsoo Son South Korea 9 88 0.4× 183 0.9× 147 0.9× 69 0.5× 112 1.2× 33 326
Hongmei Zhou China 11 78 0.4× 138 0.7× 176 1.0× 61 0.4× 44 0.5× 28 327

Countries citing papers authored by Tzu-Chang Lee

Since Specialization
Citations

This map shows the geographic impact of Tzu-Chang Lee'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 Tzu-Chang Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tzu-Chang Lee more than expected).

Fields of papers citing papers by Tzu-Chang Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu-Chang Lee. 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 Tzu-Chang Lee. The network helps show where Tzu-Chang Lee may publish in the future.

Co-authorship network of co-authors of Tzu-Chang Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu-Chang Lee. A scholar is included among the top collaborators of Tzu-Chang Lee 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 Tzu-Chang Lee. Tzu-Chang Lee 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.
Hsu, C. S., Tzu-Chang Lee, & K. I. Wong. (2024). Time is money: Effects of time-sensitive incentive on risky driving among on-demand food-delivery motorcyclists in Taiwan. Safety Science. 176. 106549–106549. 7 indexed citations
3.
Chen, Yuren, et al.. (2019). Motorcyclists' Head Motions Recognition by Using the Smart Helmet with Low Sampling Rate. 157–163. 3 indexed citations
4.
Wong, K. I., et al.. (2019). Head Motion Recognition Using a Smart Helmet for Motorcycle Riders. 1–7. 11 indexed citations
5.
Lee, Tzu-Chang, Po‐Jui Chen, & K. I. Wong. (2018). Using Unmanned Aerial Vehicle to Investigate the Kinematic Features of Cyclist–Pedestrian Mixed Flow on Shared Paths. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
6.
Lee, Tzu-Chang, et al.. (2017). Evaluating the Perceptions of Road Users in Different Scenarios of Shared Spaces. Journal of the Eastern Asia Society for transportation studies. 12. 1201–1217. 3 indexed citations
7.
Lee, Tzu-Chang, et al.. (2016). The user preferences for new energy motorcycles in Taiwan. 1–4. 2 indexed citations
8.
Wong, K. I. & Tzu-Chang Lee. (2015). Investigating the Heterogeneity in Driving Behavior of Powered Two-Wheelers under Mixed Traffic Flow. Transportation Research Board 94th Annual MeetingTransportation Research Board. 6 indexed citations
9.
Lee, Tzu-Chang. (2015). Modeling the formation of queues by a cluster of powered two-wheelers at signalized intersections using discrete panel data.. 3 indexed citations
10.
Kanagaraj, Venkatesan, Gowri Asaithambi, Tomer Toledo, & Tzu-Chang Lee. (2015). Trajectory Data and Flow Characteristics of Mixed Traffic. Transportation Research Record Journal of the Transportation Research Board. 2491(1). 1–11. 106 indexed citations
11.
Belgiawan, Prawira Fajarindra, Jan‐Dirk Schmöcker, Maya Abou-Zeid, et al.. (2014). Car Ownership Motivation Among Undergraduate Students in China, Indonesia, Japan, Lebanon, Netherlands, Taiwan, and U.S.A.. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 1 indexed citations
12.
Belgiawan, Prawira Fajarindra, Jan‐Dirk Schmöcker, Maya Abou-Zeid, et al.. (2014). Car ownership motivations among undergraduate students in China, Indonesia, Japan, Lebanon, Netherlands, Taiwan, and USA. Transportation. 41(6). 1227–1244. 93 indexed citations
13.
Lee, Tzu-Chang, et al.. (2014). The speed-density diagrams of heterogeneous traffic containing pedestrians, bicycles and powered two-wheelers in shared spaces. 297–304. 1 indexed citations
14.
Vlahogianni, Eleni I., et al.. (2012). Determinants of powered two-wheelers virtual lane width in urban arterials. 1205–1210. 17 indexed citations
15.
Lee, Tzu-Chang, John Polak, Michael G.H. Bell, & M R Wigan. (2011). The kinematic features of motorcycles in congested urban networks. Accident Analysis & Prevention. 49. 203–211. 26 indexed citations
16.
Krishnan, Rajesh, Joanna Hodge, Jim Austin, John Polak, & Tzu-Chang Lee. (2010). On Identifying Spatial Traffic Patterns Using Advanced Pattern Matching Techniques. Transportation Research Board 89th Annual MeetingTransportation Research Board. 6 indexed citations
17.
Lee, Tzu-Chang, John Polak, Michael G.H. Bell, & M R Wigan. (2010). The PCU values of motorcycles in congested flow.. Research Output (Edinburgh Napier University). 1 indexed citations
18.
Lee, Tzu-Chang, John Polak, Michael G H Bell, & M R Wigan. (2010). The passenger car unit values of motorcycles at the beginning of a green period and in a saturation flow.. Research Output (Edinburgh Napier University). 2 indexed citations
19.
Lee, Tzu-Chang, et al.. (2010). Mining origin-destination flow patterns of bicycle sharing: Association with land use differences. 317–324. 1 indexed citations
20.
Lee, Tzu-Chang, John Polak, & Michael G H Bell. (2009). New Approach to Modeling Mixed Traffic Containing Motorcycles in Urban Areas. Transportation Research Record Journal of the Transportation Research Board. 2140(1). 195–205. 64 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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