Shaowen Wang

8.0k total citations · 3 hit papers
223 papers, 5.6k citations indexed

About

Shaowen Wang is a scholar working on Computer Networks and Communications, Geography, Planning and Development and Information Systems and Management. According to data from OpenAlex, Shaowen Wang has authored 223 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 40 papers in Geography, Planning and Development and 38 papers in Information Systems and Management. Recurrent topics in Shaowen Wang's work include Geographic Information Systems Studies (40 papers), Distributed and Parallel Computing Systems (39 papers) and Scientific Computing and Data Management (37 papers). Shaowen Wang is often cited by papers focused on Geographic Information Systems Studies (40 papers), Distributed and Parallel Computing Systems (39 papers) and Scientific Computing and Data Management (37 papers). Shaowen Wang collaborates with scholars based in United States, China and South Korea. Shaowen Wang's co-authors include Anand Padmanabhan, Yan Liu, Marc P. Armstrong, Kaiyu Guan, Yaping Cai, Eric Shook, Jian Peng, Guofeng Cao, Hao Hu and Brian Wardlow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shaowen Wang

211 papers receiving 5.5k citations

Hit Papers

Integrating satellite and... 2013 2026 2017 2021 2019 2018 2013 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shaowen Wang 1.0k 944 928 777 671 223 5.6k
Ryosuke Shibasaki 935 0.9× 649 0.7× 1.8k 1.9× 459 0.6× 162 0.2× 463 7.2k
Gilberto Câmara 2.0k 1.9× 1.2k 1.3× 349 0.4× 213 0.3× 627 0.9× 146 4.9k
Nengcheng Chen 3.0k 2.9× 670 0.7× 283 0.3× 313 0.4× 319 0.5× 306 6.8k
Deren Li 2.9k 2.7× 1.8k 1.9× 627 0.7× 290 0.4× 207 0.3× 441 10.5k
Xinyue Ye 3.2k 3.1× 450 0.5× 2.5k 2.7× 199 0.3× 423 0.6× 398 10.0k
A.K. Bregt 1.8k 1.8× 846 0.9× 269 0.3× 422 0.5× 524 0.8× 183 4.6k
Stefano Ermon 1.0k 1.0× 643 0.7× 432 0.5× 486 0.6× 86 0.1× 143 6.6k
Liping Di 2.2k 2.1× 2.3k 2.4× 110 0.1× 1.1k 1.5× 721 1.1× 342 6.7k
Min Chen 1.2k 1.2× 264 0.3× 452 0.5× 75 0.1× 853 1.3× 270 4.7k
Wenwen Li 876 0.8× 383 0.4× 747 0.8× 53 0.1× 730 1.1× 259 4.8k

Countries citing papers authored by Shaowen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaowen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaowen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaowen Wang. A scholar is included among the top collaborators of Shaowen Wang 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 Shaowen Wang. Shaowen Wang 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.
Qi, Ji, et al.. (2025). SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 28563–28578.
2.
Wang, Shaohua, et al.. (2024). BiGNN: Bipartite graph neural network with attention mechanism for solving multiple traveling salesman problems in urban logistics. International Journal of Applied Earth Observation and Geoinformation. 129. 103863–103863. 8 indexed citations
3.
Li, Wenwen, Samantha T. Arundel, Song Gao, et al.. (2024). GeoAI for Science and the Science of GeoAI. SHILAP Revista de lepidopterología. 1–17. 13 indexed citations
4.
Wang, Zhaonan, Renhe Jiang, Hao Xue, et al.. (2024). Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events. Artificial Intelligence. 335. 104120–104120. 5 indexed citations
5.
Park, Jin-Woo, et al.. (2024). Mapping dynamic human sentiments of heat exposure with location-based social media data. International Journal of Geographical Information Systems. 38(7). 1291–1314. 5 indexed citations
6.
Wang, Shaowen, et al.. (2024). Wavelength optimization of fine optical surface defect detection based on FDTD. Applied Optics. 63(35). 9061–9061. 1 indexed citations
8.
Padmanabhan, Anand, et al.. (2024). Providing Accessible Software Environments Across Science Gateways and HPC. 1–4. 1 indexed citations
9.
Diao, Chunyuan, et al.. (2024). Multistream STGAN: A Spatiotemporal Image Fusion Model With Improved Temporal Transferability. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 1562–1576. 4 indexed citations
10.
Wang, Shaowen, et al.. (2023). Prevalence and clinical outcomes in subtypes of metabolic associated fatty liver disease. Journal of the Formosan Medical Association. 123(1). 36–44. 10 indexed citations
11.
Soliman, Aiman, et al.. (2023). Epidemic spread on patch networks with community structure. Mathematical Biosciences. 359. 108996–108996. 8 indexed citations
12.
Han, Su Yeon, et al.. (2023). A cyberGIS approach to exploring neighborhood‐level social vulnerability for disaster risk management. Transactions in GIS. 27(7). 1942–1958. 3 indexed citations
13.
Hu, Hao, et al.. (2022). Multiperiod stochastic programming for biomass supply chain design under spatiotemporal variability of feedstock supply. Renewable Energy. 186. 378–393. 16 indexed citations
15.
Soltani, Kiumars, Anand Padmanabhan, & Shaowen Wang. (2021). GeoBalance: workload-aware partitioning of real-time spatiotemporal data. GeoInformatica. 26(1). 67–94. 1 indexed citations
16.
Barley, William C., et al.. (2020). Understanding the multifaceted geospatial software ecosystem: a survey approach. International Journal of Geographical Information Systems. 35(11). 2168–2186. 6 indexed citations
17.
Kang, Jeon‐Young, et al.. (2020). Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA. International Journal of Health Geographics. 19(1). 36–36. 95 indexed citations
18.
Armstrong, Marc P., Shaowen Wang, & Zhe Zhang. (2018). The Internet of Things and fast data streams: prospects for geospatial data science in emerging information ecosystems. Cartography and Geographic Information Science. 46(1). 39–56. 14 indexed citations
19.
Guan, Kaiyu, et al.. (2018). A 3D convolutional neural network method for land cover classification using LiDAR and multi-temporal Landsat imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 144. 423–434. 55 indexed citations
20.
McGrath, Justin M., Amy M. Betzelberger, Shaowen Wang, et al.. (2015). An analysis of ozone damage to historical maize and soybean yields in the United States. Proceedings of the National Academy of Sciences. 112(46). 14390–14395. 152 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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