Fang Du

611 total citations · 1 hit paper
34 papers, 454 citations indexed

About

Fang Du is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Fang Du has authored 34 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Statistical and Nonlinear Physics and 9 papers in Artificial Intelligence. Recurrent topics in Fang Du's work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (7 papers) and Advanced Image Fusion Techniques (4 papers). Fang Du is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (7 papers) and Advanced Image Fusion Techniques (4 papers). Fang Du collaborates with scholars based in China, United States and Hong Kong. Fang Du's co-authors include Qi Xuan, Pengyuan Lv, Liangpei Zhang, Yanfei Zhong, Wenjun Wu, WU Tie-jun, Jiangshe Zhang, Junying Hu, Yanjun Li and Li Yu and has published in prestigious journals such as PLoS ONE, Bioresource Technology and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Fang Du

33 papers receiving 446 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.

SCViT: A Spatial-Channel Feature Preserving Vision Transformer for Remote Sensing Image Scene Classification

2022 134 citations Fang Du et al. profile →

Peers

Fang Du

MT

CVPR

AI

SNP

AS

Tingyuan Nie China

Caihong Mu China

Tieli Sun China

José Alfredo Ferreira Costa Brazil

Kamalika Das United States

Malik Muhammad Saad Missen Pakistan

Sonajharia Minz India

Younès Bennani France

Chengmao Wu China

Sanjiv Kumar United States

Tingyuan Nie China

Fang Du

107 ×0.7

MT

209 ×1.6

CVPR

143 ×1.6

AI

111 ×1.5

SNP

74 ×1.4

AS

Citations per year, relative to Fang Du Fang Du (= 1×) peers Tingyuan Nie

Countries citing papers authored by Fang Du

Since Specialization

Citations

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

Fields of papers citing papers by Fang Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Du

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Du. A scholar is included among the top collaborators of Fang Du 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 Fang Du. Fang Du 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

1.

Xu, Shuang, et al.. (2020). Weighted-capsule routing via a fuzzy gaussian model. Pattern Recognition Letters. 138. 424–430. 2 indexed citations

2.

Chen, Miao, et al.. (2020). Using Pre-trained Transformer Deep Learning Models to Identify Named Entities and Syntactic Relations for Clinical Protocol Analysis.. 3 indexed citations

3.

Zou, Yajie, et al.. (2020). Integration of Pleurotus tuoliensis cultivation and biogas production for utilization of lignocellulosic biomass as well as its benefit evaluation. Bioresource Technology. 317. 124042–124042. 25 indexed citations

4.

Chen, Miao, et al.. (2020). Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics. 234–242. 12 indexed citations

5.

Zhang, Jiangshe, et al.. (2019). Manifold regularized sparse representation of injected details for pansharpening. International Journal of Remote Sensing. 40(22). 8395–8417. 4 indexed citations

6.

Zhang, Jiangshe, et al.. (2018). Symmetric low-rank representation with adaptive distance penalty for semi-supervised learning. Neurocomputing. 316. 376–385. 6 indexed citations

7.

Liu, Shiwei, Xin Li, Yaru Wu, et al.. (2017). Effects of vaspin on pancreatic β cell secretion via PI3K/Akt and NF-κB signaling pathways. PLoS ONE. 12(12). e0189722–e0189722. 42 indexed citations

8.

Wang, Lei, et al.. (2017). Performance and energy efficiency of big data systems. 55–61. 1 indexed citations

9.

Li, Wei, Shanshan Zhu, Ruiping She, et al.. (2014). Viral Replication and Lung Lesions in BALB/c Mice Experimentally Inoculated with Avian Metapneumovirus Subgroup C Isolated from Chickens. PLoS ONE. 9(3). e92136–e92136. 7 indexed citations

10.

Du, Fang, Yueguo Chen, & Xiaoyong Du. (2014). Survey of RDF Query Processing Techniques. Journal of Software. 24(6). 1222–1242. 9 indexed citations

11.

Xuan, Qi, Fang Du, Li Yu, & Guanrong Chen. (2013). Reaction-diffusion processes and metapopulation models on duplex networks. Physical Review E. 87(3). 19 indexed citations

12.

Du, Fang, et al.. (2013). Integrated Analysis of Drug-Induced Gene Expression Profiles Predicts Novel hERG Inhibitors. PLoS ONE. 8(7). e69513–e69513. 18 indexed citations

13.

Wang, Mengmeng, et al.. (2013). Data mining research in wireless sensor network based on genetic BP algorithm. 40. 243–247. 1 indexed citations

14.

Xuan, Qi, Li Yu, Fang Du, & WU Tie-jun. (2012). A Review on Node-Matching Between Networks. InTech eBooks. 3 indexed citations

15.

Du, Fang, Y. Li, & Feng Wu. (2012). Analysis on Energy-saving Lighting Design of the Underground Construction. 1(1). 1–1. 2 indexed citations

16.

Xuan, Qi, Fang Du, Hui Dong, Li Yu, & Guanrong Chen. (2011). Structural control of reaction-diffusion networks. Physical Review E. 84(3). 36101–36101. 14 indexed citations

17.

Du, Fang, Yanjun Li, & WU Tie-jun. (2010). Regularized orthogonal forward feature selection for spectral data. 645–650. 1 indexed citations

18.

Xuan, Qi, Fang Du, Yanjun Li, & WU Tie-jun. (2010). A Framework to Model the Topological Structure of Supply Networks. IEEE Transactions on Automation Science and Engineering. 8(2). 442–446. 38 indexed citations

19.

Xuan, Qi, Fang Du, & WU Tie-jun. (2010). Partially ordered sets in complex networks. Journal of Physics A Mathematical and Theoretical. 43(18). 185001–185001. 1 indexed citations

20.

Du, Fang, Qi Xuan, & WU Tie-jun. (2010). ONE-TO-MANY NODE MATCHING BETWEEN COMPLEX NETWORKS. Advances in Complex Systems. 13(6). 725–739. 2 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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