Shih‐Lung Shaw

6.4k total citations · 2 hit papers
96 papers, 4.6k citations indexed

About

Shih‐Lung Shaw is a scholar working on Transportation, Geography, Planning and Development and Signal Processing. According to data from OpenAlex, Shih‐Lung Shaw has authored 96 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Transportation, 18 papers in Geography, Planning and Development and 14 papers in Signal Processing. Recurrent topics in Shih‐Lung Shaw's work include Human Mobility and Location-Based Analysis (42 papers), Urban Transport and Accessibility (40 papers) and Transportation Planning and Optimization (27 papers). Shih‐Lung Shaw is often cited by papers focused on Human Mobility and Location-Based Analysis (42 papers), Urban Transport and Accessibility (40 papers) and Transportation Planning and Optimization (27 papers). Shih‐Lung Shaw collaborates with scholars based in United States, China and Hong Kong. Shih‐Lung Shaw's co-authors include Qingquan Li, Zhixiang Fang, Hongbo Yu, Harvey J. Miller, David W. S. Wong, Ling Yin, Yang Xu, Wei Tu, Bi Yu Chen and Shiwei Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Shih‐Lung Shaw

94 papers receiving 4.4k citations

Hit Papers

A new insight into land use classification based on aggre... 2014 2026 2018 2022 2014 2014 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
Shih‐Lung Shaw United States 36 2.9k 780 740 638 418 96 4.6k
Harvey J. Miller United States 43 4.4k 1.5× 1.3k 1.6× 757 1.0× 730 1.1× 323 0.8× 147 7.2k
Jean‐Claude Thill United States 36 2.0k 0.7× 799 1.0× 731 1.0× 295 0.5× 151 0.4× 183 4.3k
Robert B. Noland United States 47 5.8k 2.0× 2.1k 2.7× 422 0.6× 2.0k 3.2× 689 1.6× 222 9.5k
Bin Jiang Sweden 32 1.6k 0.6× 1.7k 2.1× 1.4k 1.9× 324 0.5× 297 0.7× 133 4.6k
Harry Timmermans Netherlands 45 4.2k 1.4× 1.2k 1.6× 328 0.4× 1.6k 2.5× 219 0.5× 223 6.8k
Tijs Neutens Belgium 34 2.7k 0.9× 660 0.8× 553 0.7× 281 0.4× 191 0.5× 73 3.9k
Song Gao United States 43 3.9k 1.3× 1.1k 1.4× 1.9k 2.6× 368 0.6× 434 1.0× 189 7.1k
Christophe Claramunt France 29 784 0.3× 1.1k 1.5× 578 0.8× 292 0.5× 652 1.6× 216 3.8k
Morton E. O’Kelly United States 39 2.8k 1.0× 1.8k 2.3× 300 0.4× 597 0.9× 169 0.4× 113 6.6k
Paul Waddell United States 35 2.4k 0.8× 945 1.2× 843 1.1× 747 1.2× 148 0.4× 89 4.4k

Countries citing papers authored by Shih‐Lung Shaw

Since Specialization
Citations

This map shows the geographic impact of Shih‐Lung Shaw'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 Shih‐Lung Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Lung Shaw more than expected).

Fields of papers citing papers by Shih‐Lung Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Lung Shaw. 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 Shih‐Lung Shaw. The network helps show where Shih‐Lung Shaw may publish in the future.

Co-authorship network of co-authors of Shih‐Lung Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Lung Shaw. A scholar is included among the top collaborators of Shih‐Lung Shaw 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 Shih‐Lung Shaw. Shih‐Lung Shaw 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.
Ye, Xinyue, Tan Yiğitcanlar, Wenwen Li, et al.. (2025). Artificial intelligence in urban science: why does it matter?. Annals of GIS. 31(2). 181–189. 9 indexed citations
2.
Shaw, Shih‐Lung, et al.. (2024). Human Dynamics Research in GIScience: challenges and opportunities. SHILAP Revista de lepidopterología. 4(1). 31–31. 3 indexed citations
3.
Zhao, Bo, et al.. (2024). The study of emotion in GIScience: status and prospects. Cartography and Geographic Information Science. 52(1). 19–34. 1 indexed citations
4.
Zhao, Bo, et al.. (2024). Neural Sensing: Toward a New Approach to Understanding Emotional Responses to Place. Transactions in GIS. 28(7). 2463–2475.
5.
Shaw, Shih‐Lung. (2023). Time geography in a hybrid physical–virtual world. Journal of Geographical Systems. 25(3). 339–356. 15 indexed citations
6.
Shaw, Shih‐Lung, et al.. (2022). Assessing Trauma Center Accessibility for Healthcare Equity Using an Anti-Covering Approach. International Journal of Environmental Research and Public Health. 19(3). 1459–1459. 2 indexed citations
7.
Xu, Yang, et al.. (2020). Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data. Annals of the American Association of Geographers. 111(2). 515–539. 25 indexed citations
8.
Zhao, Zhiyuan, Shih‐Lung Shaw, Ling Yin, et al.. (2019). The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data. International Journal of Geographical Information Systems. 33(7). 1471–1495. 34 indexed citations
9.
Zhao, Zhiyuan, Ling Yin, Shih‐Lung Shaw, et al.. (2018). Identifying stops from mobile phone location data by introducing uncertain segments. Transactions in GIS. 22(4). 958–974. 11 indexed citations
10.
Fang, Zhixiang, et al.. (2018). Automatic Identification System-Based Approach for Assessing the Near-Miss Collision Risk Dynamics of Ships in Ports. IEEE Transactions on Intelligent Transportation Systems. 20(2). 534–543. 84 indexed citations
11.
Zhu, Jingwei, Yang Xu, Zhixiang Fang, Shih‐Lung Shaw, & Xingjian Liu. (2018). Geographic Prevalence and Mix of Regional Cuisines in Chinese Cities. ISPRS International Journal of Geo-Information. 7(5). 183–183. 11 indexed citations
12.
Fang, Zhixiang, et al.. (2018). An Invisible Salient Landmark Approach to Locating Pedestrians for Predesigned Business Card Route of Pedestrian Navigation. Sensors. 18(9). 3164–3164. 4 indexed citations
13.
Lu, Shiwei, Zhixiang Fang, Shih‐Lung Shaw, et al.. (2017). Understanding the Representativeness of Mobile Phone Location Data in Characterizing Human Mobility Indicators. ISPRS International Journal of Geo-Information. 6(1). 7–7. 39 indexed citations
14.
Lu, Shiwei, et al.. (2017). Exploring the Effects of Sampling Locations for Calibrating the Huff Model Using Mobile Phone Location Data. Sustainability. 9(1). 159–159. 11 indexed citations
15.
Xu, Yang, Shih‐Lung Shaw, Zhixiang Fang, & Ling Yin. (2016). Estimating Potential Demand of Bicycle Trips from Mobile Phone Data—An Anchor-Point Based Approach. ISPRS International Journal of Geo-Information. 5(8). 131–131. 24 indexed citations
16.
Yang, Xiping, Zhixiang Fang, Yang Xu, et al.. (2016). Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data. ISPRS International Journal of Geo-Information. 5(10). 177–177. 50 indexed citations
17.
Fang, Zhixiang, Qiuping Li, Qingquan Li, Lee D. Han, & Shih‐Lung Shaw. (2013). A space–time efficiency model for optimizing intra-intersection vehicle–pedestrian evacuation movements. Transportation Research Part C Emerging Technologies. 31. 112–130. 37 indexed citations
18.
Shaw, Shih‐Lung. (2010). Representation of Location-Specific Space-Time Accessibility Based on Time Geography Framework. Wuhan Daxue xuebao. Xinxi kexue ban. 1 indexed citations
19.
Miller, Harvey J. & Shih‐Lung Shaw. (2001). Geographic Information Systems for Transportation. 166 indexed citations
20.
Shaw, Shih‐Lung. (1989). The Tri-County Commuter Rail System in Southeast Florida: A Ridership Survey and its Planning Implications. 23. 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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