Weiping Fu

928 citations
66 papers · 680 · h-index 13

Impact in

Papers in

Weiping Fu

59 papers receiving 661 citations

Peers

Weiping Fu
Comparison fields: 5 of 94
  • Automotive Engineering 175
  • Computer Vision and Pattern Recognition 148
  • Control and Systems Engineering 144
  • Ecological Modeling 22
  • Mechanical Engineering 184
Replace Tatjana Šibalija with:
Tatjana Šibalija Serbia
Zsolt János Viharos Hungary
Kamil Židek Slovakia
Nalinaksh S. Vyas India
Jialong He China
Delin Huang China
Lemiao Qiu China
Pooja Kamat India
Vincent Boyer France
Yafei Deng China
Weiping Fu relative to Tatjana Šibalija Serbia Tatjana Šibalija's profile →
Citations per field
00.5×4.6×
Tatjana Šibalija · 1×
Citations per year

Countries citing papers authored by Weiping Fu

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017123
2 202066
3 201761
4 201440
5 202238
6 201831
7 201530
8 201620
9 201719
10 202218
11 200815
12 201612
13 201912
14 201712
15 201611
16 202210
17 202010
18 201810
19 201610
20 20179

About Weiping Fu

Weiping Fu is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Mechanics of Materials, Automotive Engineering and Artificial Intelligence, having authored 66 papers that have together received 680 indexed citations. Recurring topics across this work include Adhesion, Friction, and Surface Interactions (16 papers), Tribology and Lubrication Engineering (13 papers), Autonomous Vehicle Technology and Safety (11 papers), Robotic Path Planning Algorithms (11 papers), Gear and Bearing Dynamics Analysis (11 papers), Human-Automation Interaction and Safety (4 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Automotive Engineering (175 citations), Computer Vision and Pattern Recognition (148 citations), Control and Systems Engineering (144 citations), Ecological Modeling (22 citations) and Mechanical Engineering (184 citations). Weiping Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zongsheng Wu, Wang Wen, Zhiqiang Gao, Denggui Wang, Shaotong Pei, Yunpeng Liu, Zi Hui Yin, Quandai Wang, Pengyang Li and Xiaohua Wang. Their work appears in journals such as IEEE Access, Sensors, Scientific Reports, Physics of Fluids and Tribology International.

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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