Daoqin Tong

2.5k total citations
92 papers, 1.9k citations indexed

About

Daoqin Tong is a scholar working on Transportation, Organizational Behavior and Human Resource Management and Building and Construction. According to data from OpenAlex, Daoqin Tong has authored 92 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Transportation, 20 papers in Organizational Behavior and Human Resource Management and 18 papers in Building and Construction. Recurrent topics in Daoqin Tong's work include Urban Transport and Accessibility (35 papers), Facility Location and Emergency Management (20 papers) and Human Mobility and Location-Based Analysis (13 papers). Daoqin Tong is often cited by papers focused on Urban Transport and Accessibility (35 papers), Facility Location and Emergency Management (20 papers) and Human Mobility and Location-Based Analysis (13 papers). Daoqin Tong collaborates with scholars based in United States, China and Australia. Daoqin Tong's co-authors include Alan T. Murray, Yu Liu, Chaogui Kang, Xiujun Ma, Ran Li, Yü Liu, Fang Ren, Xi Liu, David A. Plane and Kamyoung Kim and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Scientific Reports.

In The Last Decade

Daoqin Tong

88 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daoqin Tong United States 25 799 400 369 312 174 92 1.9k
Eren Erman Özgüven United States 28 705 0.9× 333 0.8× 382 1.0× 317 1.0× 481 2.8× 174 2.5k
Lisa Aultman-Hall United States 24 1.7k 2.1× 111 0.3× 549 1.5× 226 0.7× 242 1.4× 107 2.7k
Manoj K. Jha United States 28 586 0.7× 54 0.1× 531 1.4× 304 1.0× 205 1.2× 171 3.0k
Mohammad Taleai Iran 19 417 0.5× 123 0.3× 284 0.8× 546 1.8× 222 1.3× 65 1.3k
Mohammad Saadi Mesgari Iran 22 329 0.4× 116 0.3× 341 0.9× 363 1.2× 119 0.7× 74 1.6k
Kai Cao China 27 333 0.4× 92 0.2× 299 0.8× 693 2.2× 151 0.9× 95 2.1k
Ting Lei United States 18 357 0.4× 134 0.3× 152 0.4× 424 1.4× 95 0.5× 66 1.2k
Ali Mansourian Sweden 23 369 0.5× 147 0.4× 225 0.6× 335 1.1× 326 1.9× 113 1.8k
Linda K. Nozick United States 32 551 0.7× 596 1.5× 450 1.2× 378 1.2× 502 2.9× 139 3.0k
Shinya Hanaoka Japan 25 523 0.7× 331 0.8× 387 1.0× 123 0.4× 215 1.2× 127 1.9k

Countries citing papers authored by Daoqin Tong

Since Specialization
Citations

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

Fields of papers citing papers by Daoqin Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoqin Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Daoqin Tong. A scholar is included among the top collaborators of Daoqin Tong 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 Daoqin Tong. Daoqin Tong 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.
2.
Lim, Samsung, et al.. (2024). A specialized inclusive road dataset with elevation profiles for realistic pedestrian navigation using open geospatial data and deep learning. Computers Environment and Urban Systems. 114. 102199–102199. 3 indexed citations
3.
Tong, Daoqin, et al.. (2023). Geoforensics with Pollen Quantification: A Spatial Perspective. Annals of the American Association of Geographers. 113(9). 2031–2047.
4.
Tong, Daoqin, Samsung Lim, Qian Sun, et al.. (2023). A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data. ISPRS International Journal of Geo-Information. 12(7). 288–288. 5 indexed citations
5.
Pardee, Gabriella L., Kimberly M. Ballare, John L. Neff, et al.. (2023). Local and Landscape Factors Influence Plant-Pollinator Networks and Bee Foraging Behavior across an Urban Corridor. Land. 12(2). 362–362. 8 indexed citations
6.
Franklin, Rachel S., Elizabeth C. Delmelle, Clio Andris, et al.. (2022). Making Space in Geographical Analysis. Geographical Analysis. 55(2). 325–341. 7 indexed citations
7.
Tong, Daoqin, et al.. (2022). A general model for creating robust choropleth maps. Computers Environment and Urban Systems. 96. 101850–101850. 2 indexed citations
8.
Tong, Daoqin, et al.. (2021). An Urban Network Study of Government Procurement Activities: A Case Study of Northeast China. Complexity. 2021(1). 2 indexed citations
9.
Ohri‐Vachaspati, Punam, Robin S. DeWeese, Francesco Acciai, et al.. (2019). Healthy Food Access in Low-Income High-Minority Communities: A Longitudinal Assessment—2009–2017. International Journal of Environmental Research and Public Health. 16(13). 2354–2354. 51 indexed citations
10.
Tong, Daoqin, et al.. (2019). On solving large p-median problems. Environment and Planning B Urban Analytics and City Science. 47(6). 981–996. 7 indexed citations
11.
Mack, Elizabeth A., Daoqin Tong, & Kevin Credit. (2017). Gardening in the desert: a spatial optimization approach to locating gardens in rapidly expanding urban environments. International Journal of Health Geographics. 16(1). 37–37. 28 indexed citations
12.
Chi, Guanghua, Jean‐Claude Thill, Daoqin Tong, Li Shi, & Yu Liu. (2016). Uncovering regional characteristics from mobile phone data: A network science approach. Papers of the Regional Science Association. 95(3). 613–632. 24 indexed citations
13.
Tong, Daoqin & Ran Wei. (2016). Regional Coverage Maximization: Alternative Geographical Space Abstraction and Modeling. Geographical Analysis. 49(2). 125–142. 15 indexed citations
14.
Ren, Fang, Daoqin Tong, & Mei‐Po Kwan. (2014). Space–time measures of demand for service: bridging location modelling and accessibility studies through a time‐geographic framework. Geografiska Annaler Series B Human Geography. 96(4). 329–344. 21 indexed citations
15.
Dall’erba, Sandy, et al.. (2011). NEW PERSPECTIVES ON REGIONAL DEVELOPMENT: INTRODUCTION. RePEc: Research Papers in Economics. 33. 5–8. 1 indexed citations
16.
Tong, Daoqin, et al.. (2011). Locating farmers’ markets with an incorporation of spatio-temporal variation. Socio-Economic Planning Sciences. 46(2). 149–156. 38 indexed citations
17.
Tong, Daoqin, et al.. (2009). Distance Value Model: Geospatial Implementation of Environmental Justice. Transportation Research Board 88th Annual MeetingTransportation Research Board. 1 indexed citations
18.
Tong, Daoqin. (2008). SPATIAL DISPARITIES IN THE CHINESE ICT SECTOR: A REGIONAL ANALYSIS. RePEc: Research Papers in Economics. 28. 111–129. 4 indexed citations
19.
Tong, Daoqin, et al.. (2005). Traffic Information Deriving Using GPS Probe Vehicle Data Integrated with GIS. 15 indexed citations
20.
Tong, Daoqin, et al.. (1996). PRACTICAL APPLICATION OF SATELLITE REMOTE SENSING AS A SOURCE OF INFORMATION FOR CIVIL ENGINEERING PROJECTS AND GIS.. Proceedings of the Institution of Civil Engineers - Civil Engineering. 114(6). 35–43. 2 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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