Zhuosen Wang

6.8k citations
93 papers · 4.6k indexed · 1 hit paper · h-index 39

Zhuosen Wang

89 papers receiving 4.5k citations

Hit Papers

Remote sensing of night lights: A review and an outlook f...6042019202620212023200400600

Peers

Zhuosen Wang
Comparison fields: 5 of 114
  • Environmental Engineering 1.9k
  • Global and Planetary Change 2.8k
  • Ecology 2.2k
  • Ecological Modeling 325
  • Atmospheric Science 1.3k
Replace Mingguo Ma with:
Mingguo Ma China
Miguel O. Román United States
Yaozhong Pan China
Cuizhen Wang United States
Huabing Huang China
Douglas A. Stow United States
Xuehong Chen China
Christiane Schmullius Germany
Kasper Johansen Australia
Beniamino Gioli Italy
Zhuosen Wang relative to Mingguo Ma China Mingguo Ma's profile →
Citations per field
00.5×1.5×
Mingguo Ma · 1×
Citations per year

Countries citing papers authored by Zhuosen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhuosen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20250
4 20242
5 20233
6 20237
7 20233
8 202229
9 202172
10 202010
11 201910
12 2019159
13 201936
14 201883
15 201849
16 20187
17 201830
18 201868
19 2018194
20
Research on MISR Data Processing Method and Application
20070

About Zhuosen Wang

Zhuosen Wang is a scholar working on Global and Planetary Change, Environmental Engineering and Ecological Modeling, having authored 93 papers that have together received 4.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (42 papers), Atmospheric and Environmental Gas Dynamics (25 papers), Urban Heat Island Mitigation (23 papers), Remote Sensing and LiDAR Applications (21 papers), Impact of Light on Environment and Health (18 papers), Cryospheric studies and observations (18 papers), Calibration and Measurement Techniques (9 papers) and Species Distribution and Climate Change (9 papers). The work is most often cited by research in Environmental Engineering (1.9k citations), Global and Planetary Change (2.8k citations) and Ecology (2.2k citations). Zhuosen Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Crystal Schaaf, Miguel O. Román, Yanmin Shuai, Alan H. Strahler, Qingsong Sun, Ranjay Shrestha, Curtis E. Woodcock, Steven D. Miller, Andrew Molthan and Feng Gao. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Remote Sensing of Environment.

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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