Fangfang Dong

1.3k total citations
68 papers, 886 citations indexed

About

Fangfang Dong is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, Fangfang Dong has authored 68 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Fangfang Dong's work include Image and Signal Denoising Methods (15 papers), Medical Image Segmentation Techniques (11 papers) and Advanced Image Processing Techniques (7 papers). Fangfang Dong is often cited by papers focused on Image and Signal Denoising Methods (15 papers), Medical Image Segmentation Techniques (11 papers) and Advanced Image Processing Techniques (7 papers). Fangfang Dong collaborates with scholars based in China, United States and United Kingdom. Fangfang Dong's co-authors include De-Xing Kong, Yunmei Chen, Jinwei Wang, Jialin Peng, Bailin Yang, Haili Zhang, J. Martí, A. Brimont, G. Rasigade and Frédéric Y. Gardes and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and Optics Express.

In The Last Decade

Fangfang Dong

61 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangfang Dong China 17 288 167 108 89 84 68 886
Yanmei Liang China 20 117 0.4× 52 0.3× 215 2.0× 57 0.6× 52 0.6× 102 1.4k
Tae Hee Han South Korea 11 432 1.5× 245 1.5× 70 0.6× 99 1.1× 15 0.2× 67 1.2k
Robi N. Maamari United States 9 57 0.2× 64 0.4× 176 1.6× 52 0.6× 66 0.8× 33 872
Charles E. Taylor United States 20 177 0.6× 108 0.6× 29 0.3× 39 0.4× 71 0.8× 58 1.2k
Bradley Lowekamp United States 10 182 0.6× 29 0.2× 533 4.9× 21 0.2× 86 1.0× 19 1.5k
Tan H. Nguyen United States 12 299 1.0× 49 0.3× 56 0.5× 119 1.3× 125 1.5× 19 948
R. Wilson United Kingdom 17 505 1.8× 25 0.1× 54 0.5× 150 1.7× 78 0.9× 59 1.1k
Qiang He China 13 80 0.3× 30 0.2× 198 1.8× 12 0.1× 20 0.2× 89 672
Terry S. Yoo United States 13 280 1.0× 13 0.1× 283 2.6× 29 0.3× 35 0.4× 32 971
Costas Balas Greece 20 105 0.4× 25 0.1× 199 1.8× 98 1.1× 47 0.6× 39 1.2k

Countries citing papers authored by Fangfang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Dong. A scholar is included among the top collaborators of Fangfang Dong 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 Dong. Fangfang Dong 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
1.
Dong, Fangfang, et al.. (2024). Analytical modeling method for joint friction in harmonic drive robot. Journal of Mechanical Science and Technology. 38(6). 3101–3111.
2.
Dong, Fangfang. (2024). Random Forest Algorithm for HR Data Classification and Performance Analysis in Cloud Environments. International Journal of Advanced Computer Science and Applications. 15(11). 1 indexed citations
3.
Zhang, Miaomiao, Huanchen Sha, Hairong Xue, et al.. (2024). Novel magnetic compression technique for the treatment of postoperative anastomotic stenosis in rectal cancer: A case report. World Journal of Gastrointestinal Surgery. 16(6). 1926–1932.
4.
Dong, Fangfang, et al.. (2023). FSPN: Feature Selection Pyramid Network for Tiny Person Detection. 28. 595–599. 1 indexed citations
5.
Yu, Meng, et al.. (2022). Automated quality assessment of chest radiographs based on deep learning and linear regression cascade algorithms. European Radiology. 32(11). 7680–7690. 13 indexed citations
6.
Chen, Junhua, Limei Lin, Min Chen, et al.. (2022). Fancb deficiency causes premature ovarian insufficiency in mice. Biology of Reproduction. 107(3). 790–799. 7 indexed citations
7.
Dong, Fangfang, et al.. (2022). CRAUNet: A cascaded residual attention U-Net for retinal vessel segmentation. Computers in Biology and Medicine. 147. 105651–105651. 47 indexed citations
8.
Dong, Fangfang, et al.. (2021). PRMT5 regulates ovarian follicle development by facilitating Wt1 translation. eLife. 10. 18 indexed citations
9.
Dong, Fangfang, Dandan Li, Dan Wen, et al.. (2019). Single dose of a rVSV-based vaccine elicits complete protection against severe fever with thrombocytopenia syndrome virus. npj Vaccines. 4(1). 5–5. 52 indexed citations
10.
Li, Guoqing, Fangfang Dong, Yufang Bi, et al.. (2019). Isoelectric focusing array with immobilized pH gradient and dynamic scanning imaging for diabetes diagnosis. Analytica Chimica Acta. 1063. 178–186. 14 indexed citations
12.
Dong, Fangfang, et al.. (2019). Single image blind deblurring based on the fractional-order differential. Computers & Mathematics with Applications. 78(6). 1960–1977. 13 indexed citations
13.
Wen, Dan, Suhua Li, Fangfang Dong, et al.. (2018). N-glycosylation of Viral E Protein Is the Determinant for Vector Midgut Invasion by Flaviviruses. mBio. 9(1). 51 indexed citations
14.
Dong, Fangfang, et al.. (2016). Research on the reconstruction method of PV module based on the door connection. 9. 337–341. 1 indexed citations
15.
Dong, Fangfang, Yunmei Chen, Dexing Kong, & Bailin Yang. (2015). Salt and pepper noise removal based on an approximation of l0 norm. Computers & Mathematics with Applications. 70(5). 789–804. 14 indexed citations
16.
Peng, Jialin, Fangfang Dong, Yunmei Chen, & De-Xing Kong. (2014). A region‐appearance‐based adaptive variational model for 3D liver segmentation. Medical Physics. 41(4). 43502–43502. 27 indexed citations
17.
Dong, Fangfang, Haili Zhang, & De-Xing Kong. (2011). Nonlocal total variation models for multiplicative noise removal using split Bregman iteration. Mathematical and Computer Modelling. 55(3-4). 939–954. 44 indexed citations
18.
Dong, Fangfang, et al.. (2011). New Variational Formulations for Level Set Evolution Without Reinitialization with Applications to Image Segmentation. Journal of Mathematical Imaging and Vision. 41(3). 194–209. 19 indexed citations
19.
Liu, Zhen, Fangfang Dong, Zheng Xie, & Yongqiang Bai. (2010). A novel model using Kalman filtering for image restoration. 2010 3rd International Congress on Image and Signal Processing. 243. 811–815. 1 indexed citations
20.
Gardes, Frédéric Y., A. Brimont, Pablo Sanchis, et al.. (2009). High-speed modulation of a compact silicon ring resonator based on a reverse-biased pn diode. Optics Express. 17(24). 21986–21986. 129 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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