Hang Fu

26 papers receiving 565 citations

Peers

Hang Fu
Comparison fields: 5 of 63
  • Media Technology 428
  • Atmospheric Science 232
  • Computer Vision and Pattern Recognition 153
  • Environmental Engineering 72
  • Analytical Chemistry 38
Replace Jinghui Yang with:
Jinghui Yang China
Sergio Bernabé Spain
L. Carlin Italy
Shaoyu Wang China
Nathan Longbotham United States
Fenlong Jiang China
Moussa Sofiane Karoui Algeria
Hui Lin China
Osama Yousif Sweden
Shuli Cheng China
Hang Fu relative to Jinghui Yang China Jinghui Yang's profile →
Citations per field
00.5×2.6×
Jinghui Yang · 1×
Citations per year

Countries citing papers authored by Hang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202188
2 201967
3 202056
4 202256
5 202154
6 202353
7 202343
8 202142
9 202332
10 202422
11 202015
12 20238
13 20227
14 20225
15 20195
16 20245
17 20215
18 20123
19 20192
20 20122

About Hang Fu

Hang Fu is a scholar working on Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Environmental Engineering and Global and Planetary Change, having authored 29 papers that have together received 579 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (16 papers), Advanced Image Fusion Techniques (15 papers), Land Use and Ecosystem Services (3 papers), Remote Sensing in Agriculture (2 papers), Advanced Vision and Imaging (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Media Technology (428 citations), Atmospheric Science (232 citations), Computer Vision and Pattern Recognition (153 citations), Environmental Engineering (72 citations) and Analytical Chemistry (38 citations). Hang Fu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Genyun Sun, Aizhu Zhang, Xiuping Jia, Jinchang Ren, Huimin Zhao, Yanjuan Yao, Xuming Zhang, Li Zhang, Lixin Wu and Jaime Zabalza. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

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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