Fan Hu

1.8k citations
20 papers · 1.4k indexed · 1 hit paper · h-index 12
Topics
Remote-Sensing Image Classification (15 papers)Advanced Image and Video Retrieval Techniques (14 papers)Image Retrieval and Classification Techniques (8 papers)
Partner nations
ChinaFranceGermany

In The Last Decade

Fan Hu

19 papers receiving 1.4k citations

Hit Papers

Transferring Deep Convolutional Neural Networks for the S...20152026201820222015250500750

Peers

Fan Hu
Comparison fields: 5 of 94
  • Media Technology 977
  • Computer Vision and Pattern Recognition 771
  • Atmospheric Science 389
  • Ecology 239
  • Artificial Intelligence 189
Replace Keiller Nogueira with:
Keiller Nogueira Brazil
Jaewan Choi South Korea
Xiaokang Zhang China
Erzhu Li China
Xiaoliang Meng China
Ruyi Feng China
Anzhu Yu China
Emmanuel Maggiori France
Dimitrios Marmanis Germany
Chenxi Duan China
Fan Hu relative to Keiller Nogueira Brazil Keiller Nogueira's profile →
Citations per field
00.5×1.5×1.8×
Keiller Nogueira · 1×
Citations per year

Countries citing papers authored by Fan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Fan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Hu. A scholar is included among the top collaborators of Fan Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fan Hu. Fan Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 5
4 0
5 21
6 80
7 16
8 3
9 18
10 21
11 9
12 19
13
Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagerybreakdown →
968
14 139
15 3
16 26
17 23
18 15
19 1
20 20

About Fan Hu

Fan Hu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (15 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Media Technology (977 citations), Computer Vision and Pattern Recognition (771 citations) and Atmospheric Science (389 citations). Fan Hu has collaborated with scholars based in China, France and Germany. Frequent co-authors include Gui-Song Xia, Liangpei Zhang, Jingwen Hu, Hong Sun, Zifeng Wang, Xin Huang, Xinyi Tong, Yanfei Zhong, Wen Yang and Mihai Datcu. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Plant Science 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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