Weiping Fu

886 citations
60 papers · 626 · h-index 13

Impact in

Papers in

Weiping Fu

52 papers receiving 600 citations

Peers

Weiping Fu
Comparison fields: 5 of 93
  • Automotive Engineering 162
  • Computer Vision and Pattern Recognition 137
  • Control and Systems Engineering 137
  • Ecological Modeling 22
  • Mechanical Engineering 172
Replace Zsolt János Viharos with:
Zsolt János Viharos Hungary
Delin Huang China
Jialong He China
Yafei Deng China
Xiaokai Mu China
Pooja Kamat India
Pavol Božek Slovakia
Lemiao Qiu China
Vincent Boyer France
Hsiung‐Cheng Lin Taiwan
Weiping Fu relative to Zsolt János Viharos Hungary Zsolt János Viharos's profile →
Citations per field
00.5×5.3×
Zsolt János Viharos · 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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017115
2 202064
3 201758
4 201437
5 202236
6 201830
7 201527
8 201620
9 201718
10 202216
11 200815
12 201912
13 201712
14 201612
15 202211
16 201611
17 201610
18 201810
19 20138
20 20238

About Weiping Fu

Weiping Fu is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials, Automotive Engineering and Control and Systems Engineering, having authored 60 papers that have together received 626 indexed citations. Recurring topics across this work include Adhesion, Friction, and Surface Interactions (16 papers), Tribology and Lubrication Engineering (13 papers), Gear and Bearing Dynamics Analysis (11 papers), Autonomous Vehicle Technology and Safety (10 papers), Robotic Path Planning Algorithms (10 papers), Human-Automation Interaction and Safety (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Vehicle Dynamics and Control Systems (3 papers). The work is most often cited by research in Automotive Engineering (162 citations), Computer Vision and Pattern Recognition (137 citations), Control and Systems Engineering (137 citations), Ecological Modeling (22 citations) and Mechanical Engineering (172 citations). Weiping Fu has collaborated with scholars based in China, Australia and Cambodia. Frequent co-authors include Zongsheng Wu, Wang Wen, Zhiqiang Gao, Denggui Wang, Yunpeng Liu, Shaotong Pei, Zi Hui Yin, Quandai Wang, Pengyang Li and Yuan Sun. 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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