Guifang Duan

875 citations
71 papers · 630 indexed · h-index 15
Topics
Industrial Vision Systems and Defect Detection (17 papers)Image and Object Detection Techniques (10 papers)Advanced Numerical Analysis Techniques (10 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Guifang Duan

65 papers receiving 609 citations

Peers

Guifang Duan
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 237
  • Industrial and Manufacturing Engineering 236
  • Mechanical Engineering 142
  • Computational Mechanics 90
  • Biomedical Engineering 78
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Citations per field
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Citations per year

Countries citing papers authored by Guifang Duan

Since Specialization
Citations

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

Fields of papers citing papers by Guifang Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guifang Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Guifang Duan. A scholar is included among the top collaborators of Guifang Duan 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 Guifang Duan. Guifang Duan 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
#WorkIndexed citations
1 0
2 2
3 1
4 2
5 1
6 3
7 7
8 4
9 20
10 39
11 23
12 37
13 4
14
Effects of simulated precipitation on seedling growth and biomass allocation in two tree species in the arid lands of northwest China
1
15 6
16
Facial morphology analysis for a genetic association study — A scheme of 3D face shape alignment
2
17
A dynamic facial expression database for quantitative analysis of facial paralysis
12
18
A Statistical Shape Model and SVMs Based Scheme for Visual Inspection of Microdrill Bits in PCB Production.
1
19
Reduction of ring artifacts in cone-beam CT images (医用画像)
2
20
Biocontrol of rice sheath blight by Helminthosporium gramineum Rabenh f. sp. echinochloae and its metabolite ophiobolin A
1

About Guifang Duan

Guifang Duan is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 71 papers that have together received 630 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (17 papers), Image and Object Detection Techniques (10 papers) and Advanced Numerical Analysis Techniques (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (236 citations), Computer Vision and Pattern Recognition (237 citations) and Geology (28 citations). Guifang Duan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Zhenyu Liu, Jianrong Tan, Yen‐Wei Chen, Jin Cheng, Chuang Wang, Daxin Liu, Liang Hu, Xia Liu, Xuetao Jiang and Ke Wang. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Industrial Informatics and Neurocomputing.

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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