Peijuan Wang

413 total citations · 1 hit paper
7 papers, 269 citations indexed

About

Peijuan Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Ecology. According to data from OpenAlex, Peijuan Wang has authored 7 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 1 paper in Ecology. Recurrent topics in Peijuan Wang's work include Advanced Image Fusion Techniques (5 papers), Image and Signal Denoising Methods (4 papers) and Advanced Image Processing Techniques (4 papers). Peijuan Wang is often cited by papers focused on Advanced Image Fusion Techniques (5 papers), Image and Signal Denoising Methods (4 papers) and Advanced Image Processing Techniques (4 papers). Peijuan Wang collaborates with scholars based in Türkiye, China and Egypt. Peijuan Wang's co-authors include Elif Sertel, Bülent Bayram, Uğur Algancı, Amr Yousef, Yuliang Sun, Ghulam Abbas, Ezzeddine Touti and Fengjun Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Earth-Science Reviews.

In The Last Decade

Peijuan Wang

6 papers receiving 260 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comprehensive review on deep learning based remote sensing image super-resolution methods

2022 206 citations Peijuan Wang, Bülent Bayram et al. Earth-Science Reviews profile →

Peers

Peijuan Wang

CVPR

MT

ECOLO

AS

EE

Menghui Jiang China

Ahmad Toosi Iran

Francesco Butera Italy

Shasha Hou China

Nassim Ait Ali Braham Germany

Xiaorou Zheng China

Debajyoti Dhar India

Zhujun Yang China

Mustafa Teke Türkiye

Doochun Seo South Korea

Menghui Jiang China

Peijuan Wang

169 ×1.0

CVPR

256 ×1.7

MT

36 ×1.1

ECOLO

47 ×1.6

AS

50 ×1.9

EE

Citations per year, relative to Peijuan Wang Peijuan Wang (= 1×) peers Menghui Jiang

Countries citing papers authored by Peijuan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Peijuan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Peijuan Wang. A scholar is included among the top collaborators of Peijuan Wang 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 Peijuan Wang. Peijuan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Sun, Yuliang, Peijuan Wang, Fengjun Hu, et al.. (2025). Enhanced u-net for lesion segmentation in whole-slide images: Integrating attention mechanisms and multi-scale feature extraction. Ain Shams Engineering Journal. 16(12). 103748–103748.

2.

Wang, Peijuan, et al.. (2025). Tooth segmentation on multimodal images using adapted segment anything model. Scientific Reports. 15(1). 13874–13874. 1 indexed citations

3.

Wang, Peijuan & Elif Sertel. (2023). Multi-frame super-resolution of remote sensing images using attention-based GAN models. Knowledge-Based Systems. 266. 110387–110387. 19 indexed citations

4.

Wang, Peijuan, Bülent Bayram, & Elif Sertel. (2022). A comprehensive review on deep learning based remote sensing image super-resolution methods. Earth-Science Reviews. 232. 104110–104110. 206 indexed citations breakdown →

5.

Wang, Peijuan, Bülent Bayram, & Elif Sertel. (2021). Super-resolution of remotely sensed data using channel attention based deep learning approach. International Journal of Remote Sensing. 42(16). 6048–6065. 10 indexed citations

6.

Wang, Peijuan & Elif Sertel. (2021). Channel–spatial attention-based pan-sharpening of very high-resolution satellite images. Knowledge-Based Systems. 229. 107324–107324. 29 indexed citations

7.

Wang, Peijuan, Uğur Algancı, & Elif Sertel. (2020). Comparative Analysis on Deep Learning based Pan-sharpening of Very HighResolution Satellite Images. SHILAP Revista de lepidopterología. 8(2). 150–165. 4 indexed citations

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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