Zhen Hua

2.1k citations
159 papers · 1.4k · h-index 18

Impact in

    • Advanced Image Fusion Techniques
    • Remote-Sensing Image Classification
    • Image Enhancement Techniques
    • Advanced Image Processing Techniques
    • Image and Signal Denoising Methods
    • Advanced Vision and Imaging
    • Advanced Neural Network Applications

Papers in

Zhen Hua

139 papers receiving 1.3k citations

Peers

Zhen Hua
Comparison fields: 5 of 121
  • Media Technology 589
  • Computer Vision and Pattern Recognition 771
  • Atmospheric Science 130
  • Artificial Intelligence 184
  • Neurology 40
Replace Basel Solaiman with:
Basel Solaiman France
Runlong Xia China
Ezzeddine Zagrouba Tunisia
Chuangbai Xiao China
Badri Narayan Subudhi India
Qin Xu China
Hongbing Ma China
Jason E. Fritts United States
Zhen Hua relative to Basel Solaiman France Basel Solaiman's profile →
Citations per field
00.5×
Basel Solaiman · 1×
Citations per year

Countries citing papers authored by Zhen Hua

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021170
2 202285
3 202270
4 202251
5 202233
6 202125
7 202223
8 202123
9 202221
10 202120
11 202419
12 201019
13 202418
14 202218
15 202218
16 202217
17 202217
18 202117
19 202216
20 202316

About Zhen Hua

Zhen Hua is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Atmospheric Science and Ecology, having authored 159 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (60 papers), Image Enhancement Techniques (47 papers), Remote-Sensing Image Classification (39 papers), Advanced Image Processing Techniques (28 papers), Image and Signal Denoising Methods (18 papers), Remote Sensing and Land Use (16 papers), AI in cancer detection (13 papers) and Remote Sensing in Agriculture (12 papers). The work is most often cited by research in Media Technology (589 citations), Computer Vision and Pattern Recognition (771 citations), Atmospheric Science (130 citations), Artificial Intelligence (184 citations) and Neurology (40 citations). Zhen Hua has collaborated with scholars based in China, Australia and New Zealand. Frequent co-authors include Jinjiang Li, Xiaomei Feng, Linwei Fan, Zhixiong Huang, Z.-W. Dong, Xinyu Zhang, Fan Zhang, Genji Yuan, Yewei Li and Xiaoling Li. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Multimedia Tools and Applications, IEEE Transactions on Geoscience and Remote Sensing, Engineering Applications of Artificial Intelligence and IEEE Geoscience and Remote Sensing Letters.

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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