Yan Han

1.8k citations
23 papers · 1.2k · 1 hit paper · h-index 10

Impact in

    • Advanced Image Fusion Techniques
    • Remote-Sensing Image Classification
    • Image Processing Techniques and Applications
    • Image Enhancement Techniques
    • Image and Signal Denoising Methods
    • Visual Attention and Saliency Detection

Papers in

Yan Han

22 papers receiving 1.2k citations

Yan Han's Hit Papers

IFCNN: A general image fusion framework based on convolutional neural network 2019 · 975 citations
9750+2+4Years since publication250500750

Peers

Yan Han
Comparison fields: 5 of 91
  • Media Technology 927
  • Computer Vision and Pattern Recognition 721
  • Aerospace Engineering 214
  • Signal Processing 42
  • Neurology 28
Replace Chunxia Zhang with:
Chunxia Zhang China
Jiao Jiao China
Muhammad Aamir China
Rekha R Nair India
Han Gao China
Lin Song China
Chaoning Zhang South Korea
Olufunke Rebecca Vincent Nigeria
Yan Han relative to Chunxia Zhang China Chunxia Zhang's profile →
Citations per field
00.5×10×20×26.8×
Chunxia Zhang · 1×
Citations per year

Countries citing papers authored by Yan Han

Since Specialization
Citations

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

Fields of papers citing papers by Yan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IFCNN: A general image fusion framework based on convolutional neural network
Hit paper breakdown →
2019975
2 202034
3 202030
4 201728
5 202123
6 202022
7 201720
8 202119
9 201912
10 20069
11 20079
12 20209
13 20177
14 20196
15 20176
16 20253
17 20053
18 20062
19 20251
20 20231

About Yan Han

Yan Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Economics and Econometrics and Finance, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (5 papers), Corporate Social Responsibility Reporting (3 papers), Financial Markets and Investment Strategies (3 papers), Image Processing Techniques and Applications (3 papers), Music and Audio Processing (3 papers), Advanced Vision and Imaging (3 papers) and Optical measurement and interference techniques (2 papers). The work is most often cited by research in Media Technology (927 citations), Computer Vision and Pattern Recognition (721 citations), Aerospace Engineering (214 citations), Signal Processing (42 citations) and Neurology (28 citations). Yan Han has collaborated with scholars based in China, Australia and Netherlands. Frequent co-authors include Li Zhang, Yu Zhang, Xiaolin Zhao, Yü Liu, Peng Sun, Xiao‐Guang Yue, Shunli Zhang, Wei Liu, Lou Boves and M. James C. Crabbe. Their work appears in journals such as Sustainability, International Journal of Environmental Research and Public Health, IEEE Transactions on Audio Speech and Language Processing, Neurocomputing and Computers & Security.

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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