Fuping Wu

1.1k citations
39 papers · 651 · h-index 13

Impact in

Papers in

Fuping Wu

37 papers receiving 632 citations

Peers

Fuping Wu
Comparison fields: 5 of 101
  • Surfaces, Coatings and Films 89
  • Radiology, Nuclear Medicine and Imaging 175
  • Computer Vision and Pattern Recognition 136
  • Water Science and Technology 85
  • Health Informatics 7
Replace Hadil Abu Khalifeh with:
Hadil Abu Khalifeh United Arab Emirates
Yiting Xie United States
Yijiang Li China
Yuling Wang China
Guoyi Zhang China
Chunping Wang China
Yongliang Liu China
Hechao Li China
Jie Zeng China
Thomas Leißner Germany
Fuping Wu relative to Hadil Abu Khalifeh United Arab Emirates Hadil Abu Khalifeh's profile →
Citations per field
00.5×10×12.7×
Hadil Abu Khalifeh · 1×
Citations per year

Countries citing papers authored by Fuping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fuping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fuping Wu, 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 Fuping Wu Line = papers co-authored together Fuping Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013143
2 202061
3 202157
4 202151
5 201847
6 201945
7 201943
8 202030
9 202224
10 201723
11 202020
12 202220
13 202313
14 20219
15
Potential pitfall of DMSA scintigraphy in patients with ureteral duplication.
19867
16 20236
17 20216
18 20216
19 20234
20 20204

About Fuping Wu

Fuping Wu is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Industrial and Manufacturing Engineering, having authored 39 papers that have together received 651 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (6 papers), Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Medical Image Segmentation Techniques (5 papers), Advanced oxidation water treatment (4 papers), Surface Modification and Superhydrophobicity (4 papers), Water Quality Monitoring Technologies (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (89 citations), Radiology, Nuclear Medicine and Imaging (175 citations), Computer Vision and Pattern Recognition (136 citations), Water Science and Technology (85 citations) and Health Informatics (7 citations). Fuping Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiahai Zhuang, Guozhen Zhang, Bigui Wei, Qing Chang, Liang Dai, Liqin Huang, Jianlin Liu, Hongwei Zhang, Tianhong Zhou and Kai Ma. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Colloids and Surfaces A Physicochemical and Engineering Aspects, Sustainability and Scientific Reports.

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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