Feng Wang

152 papers receiving 2.6k citations

Feng Wang's Hit Papers

ClassWise-SAM-Adapter: Parameter-Efficient Fine-Tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation 2025 · 30 citations
300Years since publication102030

Peers

Feng Wang
Comparison fields: 5 of 160
  • Gender Studies 849
  • Demography 525
  • Pediatrics, Perinatology and Child Health 384
  • Sociology and Political Science 853
  • Aerospace Engineering 320
Replace Michael Grossberg with:
Michael Grossberg United States
James Robert Walker United States
John M. Keller United States
James Rafferty Lee United States
Andrew McCulloch United Kingdom
Jianhong Liu Macao
Joseph S. Chen United States
Sharon L. Lohr United States
Baohui Zhang China
Terry L. Sincich United States
Feng Wang relative to Michael Grossberg United States Michael Grossberg's profile →
Citations per field
00.5×5×10×14.8×
Michael Grossberg · 1×
Citations per year

Countries citing papers authored by Feng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007265
2 2002170
3 2013147
4 2016140
5 1992137
6 200993
7 200582
8 199677
9 199375
10 201174
11 201371
12 201765
13 201363
14 201558
15 199554
16 202151
17 202050
18 200847
19 199545
20 201640

About Feng Wang

Feng Wang is a scholar working on Computer Vision and Pattern Recognition, Gender Studies, Aerospace Engineering, Demography and Media Technology, having authored 173 papers that have together received 2.9k indexed citations. Recurring topics across this work include Demographic Trends and Gender Preferences (21 papers), Advanced SAR Imaging Techniques (15 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (14 papers), Intergenerational Family Dynamics and Caregiving (12 papers), Family Dynamics and Relationships (12 papers), Advanced Neural Network Applications (7 papers), Global Maternal and Child Health (7 papers) and Global Health Care Issues (7 papers). The work is most often cited by research in Gender Studies (849 citations), Demography (525 citations), Pediatrics, Perinatology and Child Health (384 citations), Sociology and Political Science (853 citations) and Aerospace Engineering (320 citations). Feng Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Baochang Gu, Yong Cai, Xuejin Zuo, Danching Ruan, Feng Xu, Yong Cai, Ya‐Qiu Jin, Quanhe Yang, Griffith M. Feeney and Yao Lu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, Population and Development Review, The Journal of the Economics of Ageing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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