May Yuan

2.7k total citations
61 papers, 1.7k citations indexed

About

May Yuan is a scholar working on Geography, Planning and Development, Signal Processing and Transportation. According to data from OpenAlex, May Yuan has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Geography, Planning and Development, 14 papers in Signal Processing and 13 papers in Transportation. Recurrent topics in May Yuan's work include Geographic Information Systems Studies (25 papers), Data Management and Algorithms (14 papers) and Human Mobility and Location-Based Analysis (11 papers). May Yuan is often cited by papers focused on Geographic Information Systems Studies (25 papers), Data Management and Algorithms (14 papers) and Human Mobility and Location-Based Analysis (11 papers). May Yuan collaborates with scholars based in United States, Switzerland and Canada. May Yuan's co-authors include Michael F. Goodchild, Thomas J. Cova, Michael Kaspari, Leeanne Alonso, Philip S. Ward, Stephen P. Yanoviak, Robert Dudley, Natalie A. Clay, Randall S. Cerveny and Soe W. Myint and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The American Naturalist.

In The Last Decade

May Yuan

57 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
May Yuan United States	21	485	397	380	252	226	61	1.7k
Urška Demšar United Kingdom	21	374 0.8×	614 1.5×	348 0.9×	493 2.0×	120 0.5×	77	2.6k
Hartwig H. Hochmair United States	25	420 0.9×	273 0.7×	239 0.6×	112 0.4×	134 0.6×	103	1.8k
Wenwu Tang United States	27	118 0.2×	989 2.5×	118 0.3×	729 2.9×	201 0.9×	90	2.6k
Lars Arge Denmark	31	155 0.3×	550 1.4×	1.1k 2.8×	481 1.9×	365 1.6×	109	3.8k
C.A.J.M. de Bie Netherlands	19	198 0.4×	430 1.1×	103 0.3×	516 2.0×	191 0.8×	50	1.4k
Rodolphe Devillers Canada	27	412 0.8×	895 2.3×	232 0.6×	1.1k 4.4×	42 0.2×	98	2.5k
Suzana Dragićević Canada	31	457 0.9×	1.7k 4.4×	165 0.4×	552 2.2×	49 0.2×	121	3.3k
David Pullar Australia	25	238 0.5×	810 2.0×	107 0.3×	573 2.3×	54 0.2×	67	1.9k
Kevin Sahr United States	12	138 0.3×	320 0.8×	225 0.6×	305 1.2×	82 0.4×	16	1.4k
Christian Schill Germany	16	400 0.8×	610 1.5×	163 0.4×	561 2.2×	42 0.2×	24	1.5k

Countries citing papers authored by May Yuan

Since Specialization

Citations

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

Fields of papers citing papers by May Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by May Yuan. 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 May Yuan. The network helps show where May Yuan may publish in the future.

Co-authorship network of co-authors of May Yuan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yuan, May, et al.. (2024). What Local Environments Drive Opportunities for Social Events? A New Approach Based on Bayesian Modeling in Dallas, Texas, USA. ISPRS International Journal of Geo-Information. 13(3). 81–81.

Yuan, May, et al.. (2024). Location Analytics of Routine Occurrences (LARO) to Identify Locations with Regularly Occurring Events with a Case Study on Traffic Accidents. Information. 15(2). 107–107.

Wu, Yanan, et al.. (2023). Understanding the role of geographical environments in emergency dispatches with GPS trajectories. Abstracts of the ICA. 6. 1–2. 1 indexed citations

Yuan, May, et al.. (2023). Utility of Environmental Complexity as a Predictor of Alzheimer's Disease Diagnosis: A Big-Data Machine Learning Approach. The Journal of Prevention of Alzheimer s Disease. 10(2). 223–235. 6 indexed citations

Yuan, May, et al.. (2023). Spatially lagged predictors from a wider area improve PM2.5 estimation at a finer temporal interval—A case study of Dallas-Fort Worth, United States. SHILAP Revista de lepidopterología. 4. 1 indexed citations

Psyllidis, Achilleas, Song Gao, Yingjie Hu, et al.. (2022). Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future. SHILAP Revista de lepidopterología. 2(1). 20–20. 67 indexed citations

Yuan, May. (2020). Relationships between Space and Time. 2020(Q3). 3 indexed citations

Yuan, May. (2020). Geographical information science for the United Nations’ 2030 agenda for sustainable development. International Journal of Geographical Information Systems. 35(1). 1–8. 24 indexed citations

Yuan, May, et al.. (2019). Youth leadership programming in high-poverty minority students. Evaluation and Program Planning. 79. 101728–101728. 4 indexed citations

10.

Homan, Philipp, Benjamin A. Ely, May Yuan, et al.. (2017). Aversive smell associations shape social judgment. Neurobiology of Learning and Memory. 144. 86–95. 1 indexed citations

11.

Yang, Chaowei, et al.. (2016). Cloud computing for ocean and atmospheric science. 1–4. 10 indexed citations

12.

Yuan, May, et al.. (2014). Space–time representation and analytics. Annals of GIS. 20(1). 1–9. 13 indexed citations

13.

Gawande, Kishore, Hank Jenkins‐Smith, & May Yuan. (2012). The long-run impact of nuclear waste shipments on the property market: Evidence from a quasi-experiment. Journal of Environmental Economics and Management. 65(1). 56–73. 12 indexed citations

14.

McIntosh, John M., et al.. (2011). Towards a Narrative GIS.. DH. 182–185. 1 indexed citations

15.

Yuan, May, et al.. (2010). Apply concepts of fluid kinematics to represent continuous space–time fields in temporal GIS. Annals of GIS. 16(1). 27–41. 16 indexed citations

16.

Madsen, Henry, Hélène Carabin, Veronica Tallo, et al.. (2007). Prevalence of Schistosoma japonicum infection of Oncomelania quadrasi snail colonies in 50 irrigated and rain-fed villages of Samar Province, the Philippines. Acta Tropica. 105(3). 235–241. 29 indexed citations

17.

McIntosh, Julia A. & May Yuan. (2005). A framework to enhance semantic flexibility for analysis of distributed phenomena. International Journal of Geographical Information Systems. 19(10). 999–1018. 23 indexed citations

18.

Kaspari, Michael, Philip S. Ward, & May Yuan. (2004). Energy gradients and the geographic distribution of local ant diversity. Oecologia. 140(3). 407–413. 102 indexed citations

19.

Kaspari, Michael, May Yuan, & Leeanne Alonso. (2003). Spatial Grain and the Causes of Regional Diversity Gradients in Ants. The American Naturalist. 161(3). 459–477. 127 indexed citations

20.

Yuan, May & Claude E. Duchon. (2001). ESTIMATION OF DAILY AREA-AVERAGE RAINFALL IN CENTRAL FLORIDA USING ARITHMETIC AVERAGING AND KRIGING. Physical Geography. 22(1). 42–58. 5 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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