Fang Du

57 total papers · 606 total citations
34 papers, 447 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 447 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 Remote-Sensing Image Classification (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 Remote-Sensing Image Classification (4 papers). Fang Du collaborates with scholars based in China, United States and Hong Kong. Fang Du's co-authors include Qi Xuan, Yanfei Zhong, Liangpei Zhang, Wenjun Wu, Pengyuan Lv, 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 441 citations

Hit Papers

SCViT: A Spatial-Channel ... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fang Du 154 127 88 73 52 34 447
Yunjie Zhang 76 0.5× 131 1.0× 248 2.8× 39 0.5× 17 0.3× 24 512
Tingyuan Nie 106 0.7× 207 1.6× 143 1.6× 111 1.5× 73 1.4× 39 528
Marco Bressan 66 0.4× 262 2.1× 157 1.8× 89 1.2× 5 0.1× 46 535
Tieli Sun 47 0.3× 93 0.7× 274 3.1× 23 0.3× 34 0.7× 30 486
Sid Ray 43 0.3× 163 1.3× 154 1.8× 12 0.2× 16 0.3× 18 454
Chao Huang 78 0.5× 159 1.3× 263 3.0× 35 0.5× 36 0.7× 31 482
José Alfredo Ferreira Costa 57 0.4× 144 1.1× 230 2.6× 9 0.1× 19 0.4× 59 407
Kan Xu 81 0.5× 103 0.8× 284 3.2× 7 0.1× 36 0.7× 46 493
Xiaohui Huang 94 0.6× 101 0.8× 176 2.0× 14 0.2× 57 1.1× 47 456
Kamalika Das 64 0.4× 61 0.5× 218 2.5× 38 0.5× 28 0.5× 33 451

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

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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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