Sen Wang

1.0k citations
37 papers · 753 · h-index 16

Impact in

Papers in

Sen Wang

34 papers receiving 706 citations

Peers

Sen Wang
Comparison fields: 5 of 122
  • Global and Planetary Change 232
  • Computer Vision and Pattern Recognition 182
  • Aerospace Engineering 203
  • Geology 40
  • Management, Monitoring, Policy and Law 64
Replace Johannes Uhl with:
Johannes Uhl United States
Yue Lin China
Ketut Wikantika Indonesia
Tao Guan China
Fuzhou Duan China
Ling Xiao China
Flavio Lupia Italy
Krista Merry United States
Tadeusz Chmielewski Poland
Sen Wang relative to Johannes Uhl United States Johannes Uhl's profile →
Citations per field
00.5×2.6×
Johannes Uhl · 1×
Citations per year

Countries citing papers authored by Sen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sen 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 Sen Wang Line = papers co-authored together Sen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017221
2 200483
3 201863
4 201757
5 200639
6 200633
7 201925
8 200224
9 202224
10 201322
11 202021
12 201221
13 201520
14 201918
15 202018
16 202115
17 20199
18 20247
19 20006
20 19985

About Sen Wang

Sen Wang is a scholar working on Global and Planetary Change, Economics and Econometrics, Management, Monitoring, Policy and Law, Oceanography and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 753 indexed citations. Recurring topics across this work include Forest Management and Policy (10 papers), Conservation, Biodiversity, and Resource Management (5 papers), Economic and Environmental Valuation (4 papers), Regional Economic and Spatial Analysis (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers), Marine and coastal ecosystems (2 papers), Microplastics and Plastic Pollution (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Global and Planetary Change (232 citations), Computer Vision and Pattern Recognition (182 citations), Aerospace Engineering (203 citations), Geology (40 citations) and Management, Monitoring, Policy and Law (64 citations). Sen Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Niki Trigoni, Ronald Clark, Hongkai Wen, Andrew Markham, Can Liu, Hao Liu, Jianhua Yin, Bill Wilson, Dimitris Samaras and Miao Jin. Their work appears in journals such as Forest Policy and Economics, Land Use Policy, The Forestry Chronicle, Nutrients and Frontiers in Aging Neuroscience.

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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