Fengjun Wang

31 papers receiving 416 citations

Fengjun Wang's Hit Papers

Spatial–Spectral Attention Network Guided With Change Magnitude Image for Land Cover Change Detection Using Remote Sensing Images 2022 · 119 citations
1190+1+2Years since publication255075100

Peers

Fengjun Wang
Comparison fields: 5 of 73
  • Media Technology 133
  • Atmospheric Science 93
  • Fuel Technology 4
  • Electronic, Optical and Magnetic Materials 47
  • Computer Vision and Pattern Recognition 47
Replace Yuzhu Zhang with:
Yuzhu Zhang China
Pengyuan Zhang China
Wenrui Wang China
Yang Tang China
Xudong Hu China
Zhenyu Fan China
Anurag Kumar India
Xuan Chen China
Michele D’Amico Italy
Fengjun Wang relative to Yuzhu Zhang China Yuzhu Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fengjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fengjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spatial–Spectral Attention Network Guided With Change Magnitude Image for Land Cover Change Detection Using Remote Sensing Images
Hit paper breakdown →
2022119
2 202068
3 201639
4 202224
5 201922
6 202122
7 202119
8 201615
9 202113
10 202210
11 20169
12 20228
13 20057
14 20077
15 20236
16 20036
17 20175
18 20235
19 20253
20 20223

About Fengjun Wang

Fengjun Wang is a scholar working on Mechanical Engineering, Biomedical Engineering, Civil and Structural Engineering, Control and Systems Engineering and Media Technology, having authored 36 papers that have together received 427 indexed citations. Recurring topics across this work include Remote Sensing and Land Use (4 papers), Remote-Sensing Image Classification (4 papers), Thermochemical Biomass Conversion Processes (3 papers), Text and Document Classification Technologies (2 papers), Heat transfer and supercritical fluids (2 papers), Combustion and Detonation Processes (2 papers), Coal and Coke Industries Research (2 papers) and Metamaterials and Metasurfaces Applications (2 papers). The work is most often cited by research in Media Technology (133 citations), Atmospheric Science (93 citations), Fuel Technology (4 citations), Electronic, Optical and Magnetic Materials (47 citations) and Computer Vision and Pattern Recognition (47 citations). Fengjun Wang has collaborated with scholars based in China, Iceland and United States. Frequent co-authors include Zhiyong Lv, Jón Atli Benediktsson, Weiwei Sun, Tao Lei, LePing Yu, Xiaoli Wu, Lu Lu, Hongjun Han, Haifeng Zhuang and Shengyong Jia. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Energy, ChemElectroChem, International Journal of Heat and Mass Transfer and Energy Sustainable Development.

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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