Diansheng Guo

4.5k total citations
73 papers, 3.1k citations indexed

About

Diansheng Guo is a scholar working on Transportation, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Diansheng Guo has authored 73 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Transportation, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Signal Processing. Recurrent topics in Diansheng Guo's work include Human Mobility and Location-Based Analysis (26 papers), Data Visualization and Analytics (15 papers) and Data Management and Algorithms (15 papers). Diansheng Guo is often cited by papers focused on Human Mobility and Location-Based Analysis (26 papers), Data Visualization and Analytics (15 papers) and Data Management and Algorithms (15 papers). Diansheng Guo collaborates with scholars based in United States, China and United Kingdom. Diansheng Guo's co-authors include Xi Zhu, Alan M. MacEachren, Ke Liao, Jeremy Mennis, Hai Jin, Peng Gao, Mark Gahegan, Jin Chen, Jack Grieve and Yong Li and has published in prestigious journals such as PLoS ONE, International Journal of Climatology and Landscape Ecology.

In The Last Decade

Diansheng Guo

72 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diansheng Guo United States 30 1.1k 729 663 520 455 73 3.1k
Yingjie Hu United States 30 1.1k 1.0× 285 0.4× 388 0.6× 516 1.0× 1.4k 3.0× 127 3.6k
Jason Dykes United Kingdom 31 501 0.5× 1.7k 2.3× 761 1.1× 336 0.6× 254 0.6× 120 2.9k
M.J. Kraak Netherlands 29 528 0.5× 1.3k 1.7× 1.1k 1.7× 374 0.7× 544 1.2× 216 4.2k
Qunying Huang United States 30 584 0.5× 208 0.3× 455 0.7× 488 0.9× 538 1.2× 113 3.5k
Krzysztof Janowicz United States 19 994 0.9× 196 0.3× 419 0.6× 370 0.7× 440 1.0× 48 2.2k
Mark Gahegan United States 28 286 0.3× 751 1.0× 654 1.0× 598 1.1× 379 0.8× 93 3.0k
Bernd Resch Austria 29 883 0.8× 251 0.3× 190 0.3× 365 0.7× 471 1.0× 151 3.1k
Ross Maciejewski United States 33 442 0.4× 1.6k 2.2× 432 0.7× 1.2k 2.4× 318 0.7× 152 4.3k
Christophe Claramunt France 29 784 0.7× 640 0.9× 647 1.0× 367 0.7× 578 1.3× 216 3.8k
Anthony Stefanidis United States 29 738 0.7× 311 0.4× 375 0.6× 296 0.6× 529 1.2× 97 2.9k

Countries citing papers authored by Diansheng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Diansheng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diansheng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Diansheng Guo. A scholar is included among the top collaborators of Diansheng Guo 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 Diansheng Guo. Diansheng Guo 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.
Tong, Xia, Yong Li, Jie Feng, et al.. (2023). History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. ACM Transactions on Knowledge Discovery from Data. 18(3). 1–22. 1 indexed citations
2.
Zhang, Fan, Yong Gao, Wei Tu, et al.. (2023). Fusing Visual and Mobility Data for City Sensing: A Case Study of Urban Village Recognition. SSRN Electronic Journal.
3.
Jiang, Yuqin, Diansheng Guo, Zhenlong Li, & Michael E. Hodgson. (2021). A novel big data approach to measure and visualize urban accessibility. 1(1). 7 indexed citations
4.
Li, Yong, et al.. (2021). Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. ACM Transactions on Knowledge Discovery from Data. 16(3). 1–21. 17 indexed citations
5.
Xu, Fengli, Zhen Tu, Shu‐Hao Chang, et al.. (2019). No More than What I Post: Preventing Linkage Attacks on Check-in Services. 3405–3412. 9 indexed citations
6.
Guo, Diansheng, Hai Jin, Peng Gao, & Xi Zhu. (2018). Detecting spatial community structure in movements. International Journal of Geographical Information Systems. 32(7). 1326–1347. 38 indexed citations
7.
Koylu, Caglar, et al.. (2018). Analysis of big patient mobility data for identifying medical regions, spatio-temporal characteristics and care demands of patients on the move. International Journal of Health Geographics. 17(1). 32–32. 22 indexed citations
8.
Li, Zhenlong, Cuizhen Wang, Christopher T. Emrich, & Diansheng Guo. (2017). A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods. Cartography and Geographic Information Science. 45(2). 97–110. 173 indexed citations
9.
Grieve, Jack, Andrea Nini, & Diansheng Guo. (2016). Analyzing lexical emergence in Modern American English online. English Language and Linguistics. 21(1). 99–127. 43 indexed citations
10.
Gao, Peng, Gregory J. Carbone, & Diansheng Guo. (2015). Assessment of NARCCAP model in simulating rainfall extremes using a spatially constrained regionalization method. International Journal of Climatology. 36(5). 2368–2378. 8 indexed citations
11.
Kang, Chaogui, Yu Liu, Diansheng Guo, & Kun Qin. (2015). A Generalized Radiation Model for Human Mobility: Spatial Scale, Searching Direction and Trip Constraint. PLoS ONE. 10(11). e0143500–e0143500. 54 indexed citations
12.
Guo, Diansheng, Xi Zhu, Hai Jin, Peng Gao, & Clio Andris. (2012). Discovering Spatial Patterns in Origin‐Destination Mobility Data. Transactions in GIS. 16(3). 411–429. 139 indexed citations
13.
Guo, Diansheng. (2011). Research on the Influence of Family Environment on the Interpersonal Relationship of Post-90s-Undergraduates. 1 indexed citations
14.
Guo, Diansheng, et al.. (2011). Automatic Region Building for Spatial Analysis. Transactions in GIS. 15(s1). 29–45. 80 indexed citations
15.
Guo, Diansheng. (2009). Flow Mapping and Multivariate Visualization of Large Spatial Interaction Data. IEEE Transactions on Visualization and Computer Graphics. 15(6). 1041–1048. 181 indexed citations
16.
Guo, Diansheng. (2006). Mining and Visualizing Spatial Interaction Patterns for Pandemic Response. Nature New Biology. 234(50). 193–4. 1 indexed citations
17.
Guo, Diansheng, Jin Chen, Alan M. MacEachren, & Ke Liao. (2006). A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP). IEEE Transactions on Visualization and Computer Graphics. 12(6). 1461–1474. 235 indexed citations
18.
MacEachren, Alan M., et al.. (2004). Exploring high-D spaces with multiform matrices and small multiples. PubMed. 31–38. 57 indexed citations
19.
Guo, Diansheng. (2003). A Geographic Visual Query Composer (GVQC) for accessing federal databases. International Conference on Digital Government Research. 1–4. 2 indexed citations
20.
MacEachren, Alan M., et al.. (2003). Developing and assessing light-weight data-driven exploratory geovisualization tools for the web. 3 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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