Fangfang Wu

2.9k total citations · 1 hit paper
58 papers, 2.1k citations indexed

About

Fangfang Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Ecology. According to data from OpenAlex, Fangfang Wu has authored 58 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 12 papers in Ecology. Recurrent topics in Fangfang Wu's work include Image and Signal Denoising Methods (15 papers), Remote Sensing and LiDAR Applications (12 papers) and Advanced Image Fusion Techniques (10 papers). Fangfang Wu is often cited by papers focused on Image and Signal Denoising Methods (15 papers), Remote Sensing and LiDAR Applications (12 papers) and Advanced Image Fusion Techniques (10 papers). Fangfang Wu collaborates with scholars based in China, United States and Czechia. Fangfang Wu's co-authors include Guangming Shi, Weisheng Dong, Qinghua Guo, Yanjun Su, Xiaotong Lu, Xin Li, Peiyao Wang, Wotao Yin, Shichao Jin and Shuxin Pang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Fangfang Wu

50 papers receiving 2.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Denoising Prior Driven Deep Neural Network for Image Restoration

2018 364 citations Weisheng Dong, Peiyao Wang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fangfang Wu China	19	858	652	634	572	472	58	2.1k
Luís Pádua Portugal	20	974 1.1×	1.2k 1.9×	240 0.4×	846 1.5×	343 0.7×	89	2.5k
Alina Zare United States	26	386 0.4×	516 0.8×	376 0.6×	234 0.4×	1.2k 2.6×	154	2.5k
Telmo Adão Portugal	16	687 0.8×	894 1.4×	276 0.4×	626 1.1×	292 0.6×	71	2.0k
Antônio Maria Garcia Tommaselli Brazil	23	1.0k 1.2×	841 1.3×	361 0.6×	206 0.4×	231 0.5×	148	1.9k
Jens Leitloff Germany	15	549 0.6×	433 0.7×	558 0.9×	129 0.2×	288 0.6×	38	1.9k
Jonáš Hruška Portugal	12	611 0.7×	790 1.2×	138 0.2×	490 0.9×	300 0.6×	21	1.6k
Wei Yao China	30	1.7k 2.0×	583 0.9×	775 1.2×	56 0.1×	444 0.9×	149	2.8k
Hanno Scharr Germany	25	347 0.4×	870 1.3×	410 0.6×	2.1k 3.7×	102 0.2×	87	2.9k
Felix Schiefer Germany	7	641 0.7×	731 1.1×	166 0.3×	214 0.4×	173 0.4×	13	1.6k

Countries citing papers authored by Fangfang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Fangfang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Wu. A scholar is included among the top collaborators of Fangfang Wu 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 Fangfang Wu. Fangfang Wu 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:

20 of 20 papers shown

Feng, Mingtao, Weisheng Dong, Jianqiao Luo, et al.. (2025). Locally Aware Visual State Space for Small Defect Segmentation in Complex Component Images. IEEE Transactions on Industrial Informatics. 21(8). 5965–5976.

Wu, Fangfang, et al.. (2025). Joint Spatial and Frequency Domain Learning for Lightweight Spectral Image Demosaicing. IEEE Transactions on Image Processing. 34. 1119–1132. 2 indexed citations

Liu, Dan, Lingling Xie, Wei Xiao, et al.. (2024). Production of haploid plants in wax gourd through parthenogenesis induced by gamma-irradiated pollen. Scientia Horticulturae. 336. 113450–113450. 1 indexed citations

Wu, Fangfang, et al.. (2024). Biocontrol mechanisms of antagonistic yeasts on postharvest fruits and vegetables and the approaches to enhance the biocontrol potential of antagonistic yeasts. International Journal of Food Microbiology. 430. 111038–111038. 9 indexed citations

Wu, Fangfang, et al.. (2024). Multi-Scale Spatio-Temporal Memory Network for Lightweight Video Denoising. IEEE Transactions on Image Processing. 33. 5810–5823. 1 indexed citations

Wu, Fangfang, et al.. (2024). Uncertainty Modeling of the Transmission Map for Single Image Dehazing. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11115–11127. 3 indexed citations

Wu, Fangfang, Bin Zheng, Haibo Wang, et al.. (2024). 2-Phenylethanol biocontrol postharvest tomato gray mold and its effect on tomato quality. Scientia Horticulturae. 337. 113550–113550. 8 indexed citations

Dong, Weisheng, et al.. (2023). Uncertainty-Driven Knowledge Distillation for Language Model Compression. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2850–2858. 7 indexed citations

Wang, Chaohua, Weisheng Dong, Xin Li, et al.. (2023). Memory Based Temporal Fusion Network for Video Deblurring. International Journal of Computer Vision. 131(7). 1840–1856.

10.

Wu, Fangfang, et al.. (2023). Spatially Varying Prior Learning for Blind Hyperspectral Image Fusion. IEEE Transactions on Image Processing. 32. 4416–4431. 7 indexed citations

11.

Wang, Yichen, et al.. (2023). Deep Unfolding Network for Efficient Mixed Video Noise Removal. IEEE Transactions on Circuits and Systems for Video Technology. 33(9). 4715–4727. 13 indexed citations

12.

Wu, Fangfang, et al.. (2021). Robust subspace clustering network with dual-domain regularization. Pattern Recognition Letters. 149. 44–50. 2 indexed citations

13.

Dong, Weisheng, et al.. (2021). Model-Guided Deep Hyperspectral Image Super-Resolution. IEEE Transactions on Image Processing. 30. 5754–5768. 171 indexed citations

14.

Huang, Tao, Weisheng Dong, Jinshan Liu, et al.. (2020). Accelerating Convolutional Neural Network via Structured Gaussian Scale Mixture Models: A Joint Grouping and Pruning Approach. IEEE Journal of Selected Topics in Signal Processing. 14(4). 817–827. 3 indexed citations

15.

Jin, Shichao, Yanjun Su, Shang Gao, et al.. (2019). Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing. 58(4). 2644–2658. 77 indexed citations

16.

Lu, Xiaotong, et al.. (2019). Learning a Deep Vector Quantization Network for Image Compression. IEEE Access. 7. 118815–118825. 19 indexed citations

17.

Dong, Weisheng, Huan Wang, Fangfang Wu, Guangming Shi, & Xin Li. (2019). Deep Spatial–Spectral Representation Learning for Hyperspectral Image Denoising. IEEE Transactions on Computational Imaging. 5(4). 635–648. 101 indexed citations

18.

Dong, Weisheng, Peiyao Wang, Wotao Yin, et al.. (2018). Denoising Prior Driven Deep Neural Network for Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(10). 2305–2318. 364 indexed citations breakdown →

19.

Jin, Shichao, Yanjun Su, Fangfang Wu, et al.. (2018). Stem–Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing. 57(3). 1336–1346. 114 indexed citations

20.

Guo, Qinghua, Yanjun Su, Tianyu Hu, et al.. (2017). An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China. International Journal of Remote Sensing. 38(8-10). 2954–2972. 132 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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