Shaowen Wang

215 papers receiving 5.7k citations

Shaowen Wang's Hit Papers

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches 2019 · 431 citations
4310+4+8Years since publication100200300400

Peers

Shaowen Wang
Comparison fields: 5 of 180
  • Transportation 926
  • Geography, Planning and Development 687
  • Information Systems and Management 445
  • Signal Processing 641
  • Global and Planetary Change 1.1k
Replace Wenwen Li with:
Wenwen Li China
Chaowei Yang United States
Qunying Huang United States
Min Chen China
Alan M. MacEachren United States
Gilberto Câmara Brazil
Huayi Wu China
Xinyue Ye United States
Yingjie Hu United States
Jianya Gong China
Shaowen Wang relative to Wenwen Li China Wenwen Li's profile →
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Citations per year

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-authors

The 25 scholars most cited alongside Shaowen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaowen Wang Line = papers co-authored together Shaowen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 229 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches
Hit paper breakdown →
2019431
2
A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach
Hit paper breakdown →
2018423
3
Mapping the global Twitter heartbeat: The geography of Twitter
Hit paper breakdown →
2013271
4 2011219
5 2010211
6 2019171
7 2015156
8 2017100
9 201697
10 201397
11 202095
12 200891
13 201590
14 201288
15 200388
16 201784
17 201280
18 202170
19 200970
20 201368

About Shaowen Wang

Shaowen Wang is a scholar working on Computer Networks and Communications, Geography, Planning and Development, Information Systems and Management, Signal Processing and Transportation, having authored 229 papers that have together received 5.8k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (41 papers), Distributed and Parallel Computing Systems (41 papers), Scientific Computing and Data Management (39 papers), Data Management and Algorithms (34 papers), Human Mobility and Location-Based Analysis (33 papers), Data-Driven Disease Surveillance (19 papers), Hydrology and Watershed Management Studies (16 papers) and 3D Modeling in Geospatial Applications (11 papers). The work is most often cited by research in Transportation (926 citations), Geography, Planning and Development (687 citations), Information Systems and Management (445 citations), Signal Processing (641 citations) and Global and Planetary Change (1.1k citations). Shaowen Wang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Anand Padmanabhan, Yan Liu, Marc P. Armstrong, Kaiyu Guan, Yaping Cai, Jian Peng, Eric Shook, Guofeng Cao, Hao Hu and Brian Wardlow. Their work appears in journals such as Environmental Modelling & Software, Transactions in GIS, Applied Optics, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Geographical Analysis.

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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