Feng Wang

3.8k citations
158 papers · 2.5k · h-index 26

Impact in

    • Demographic Trends and Gender Preferences
  • Demography top 0.5%
    • Family Dynamics and Relationships

Papers in

Feng Wang

134 papers receiving 2.2k citations

Peers

Feng Wang
Comparison fields: 5 of 152
  • Gender Studies 734
  • Demography 443
  • Pediatrics, Perinatology and Child Health 340
  • Sociology and Political Science 748
  • Aerospace Engineering 291
Replace James R. Walker with:
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Michael Grossberg United States
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Jianhong Liu China
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Citations per field
00.5×10×15×19.4×
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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 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007246
2 2002156
3 1992123
4 2016119
5 2013117
6 200979
7 199678
8 200577
9 201171
10 199371
11 201368
12 201760
13 201357
14 201554
15 199553
16 202047
17 199545
18 202142
19 201639
20 201436

About Feng Wang

Feng Wang is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Gender Studies and Sociology and Political Science, having authored 158 papers that have together received 2.5k indexed citations. Recurring topics across this work include Demographic Trends and Gender Preferences (18 papers), Advanced SAR Imaging Techniques (15 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (13 papers), Family Dynamics and Relationships (10 papers), Intergenerational Family Dynamics and Caregiving (9 papers), Global Health Care Issues (7 papers), Advanced Neural Network Applications (6 papers) and Optical measurement and interference techniques (6 papers). The work is most often cited by research in Gender Studies (734 citations), Demography (443 citations), Pediatrics, Perinatology and Child Health (340 citations), Sociology and Political Science (748 citations) and Aerospace Engineering (291 citations). Feng Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Baochang Gu, Yong Cai, Danching Ruan, Xuejin Zuo, Yong Cai, Ya‐Qiu Jin, Feng Xu, Quanhe Yang, Griffith 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 Chinese Sociological Review.

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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