Gui Fu

406 citations
24 papers · 289 · h-index 8

Impact in

Papers in

Gui Fu

18 papers receiving 286 citations

Peers

Gui Fu
Comparison fields: 5 of 68
  • Earth-Surface Processes 122
  • Ecology 130
  • Oceanography 58
  • Atmospheric Science 61
  • Media Technology 28
Replace Qingxiang Liu with:
Qingxiang Liu China
Jiachen Hu China
Seema Mahajan India
Arthur Ayres Neto Brazil
Alejandro Navarro Australia
Susumu Kubota Japan
Xueying Zhou China
E Bright United States
Brittany Bruder United States
Gui Fu relative to Qingxiang Liu China Qingxiang Liu's profile →
Citations per field
00.5×4.8×
Qingxiang Liu · 1×
Citations per year

Countries citing papers authored by Gui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Gui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gui Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gui Fu Line = papers co-authored together Gui Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013108
2 201363
3 202227
4 202320
5 20229
6 20239
7 20238
8 20237
9
A method for rearing the potato tuber moth Phthorimaea operculella on potato
20037
10 20136
11 20235
12 20244
13 20244
14
Study on the formation and evolution of Jiuduan shoal in the Changjiang estuary
20063
15 20223
16 20233
17
Sesuvium portulacastrum L.,A Promising Halophyte in Research and Application
20102
18
Research On Recent Topography Evolution of Nanhui Tidal Flat In Yangtze River Estuary
20111
19 20240
20
Estimated Effect of Bed Sediments and Sand Waves During Dry Season on the Safe Nautical Depth in the South Channel of the Changjiang River Estuary
20070

About Gui Fu

Gui Fu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology, Electrical and Electronic Engineering and Global and Planetary Change, having authored 24 papers that have together received 289 indexed citations. Recurring topics across this work include Image Enhancement Techniques (5 papers), Robotics and Sensor-Based Localization (3 papers), Coastal and Marine Dynamics (3 papers), Advanced Vision and Imaging (3 papers), Geological formations and processes (2 papers), Advanced Image Fusion Techniques (2 papers), Environmental Changes in China (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Earth-Surface Processes (122 citations), Ecology (130 citations), Oceanography (58 citations), Atmospheric Science (61 citations) and Media Technology (28 citations). Gui Fu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include James T. Liu, Zhijun Dai, Changsheng Chen, Jianzhong Ge, Pingxing Ding, Song Hu, Yu Xiong, Shuhua Fu, Qian Zhang and Chao Liu. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, The Visual Computer, Digital Signal Processing and ISPRS Journal of Photogrammetry and Remote Sensing.

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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