Weifu Wang

537 citations
55 papers · 403 · h-index 11

Impact in

    • High Entropy Alloys Studies
    • Additive Manufacturing Materials and Processes
    • Surface Treatment and Coatings
    • Modular Robots and Swarm Intelligence
    • Robotic Mechanisms and Dynamics
    • Robot Manipulation and Learning

Papers in

Weifu Wang

53 papers receiving 382 citations

Peers

Weifu Wang
Comparison fields: 5 of 88
  • Mechanical Engineering 164
  • Control and Systems Engineering 94
  • Computer Vision and Pattern Recognition 79
  • Psychiatry and Mental health 25
  • Aerospace Engineering 46
Replace M. Korkosz with:
M. Korkosz Poland
Tanvir Rahman Canada
Marco Beccani United States
Qiang Zhai China
Yuxuan Chen China
Mahmudul Hasan Bangladesh
Anthony Meng Huat Tiong Singapore
Guangyu He China
Youngsoo Choi South Korea
Weifu Wang relative to M. Korkosz Poland M. Korkosz's profile →
Citations per field
00.5×11.3×
M. Korkosz · 1×
Citations per year

Countries citing papers authored by Weifu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weifu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200853
2 201933
3 200830
4 200725
5 201024
6 201321
7 201416
8 201914
9 201512
10 201212
11 201712
12 201310
13 20169
14 20158
15 20178
16 20158
17 20257
18 20117
19 20147
20 20157

About Weifu Wang

Weifu Wang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering, having authored 55 papers that have together received 403 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), Robotic Mechanisms and Dynamics (11 papers), Robot Manipulation and Learning (8 papers), Control and Dynamics of Mobile Robots (4 papers), Modular Robots and Swarm Intelligence (4 papers), Human Motion and Animation (3 papers), Additive Manufacturing Materials and Processes (3 papers) and High Entropy Alloys Studies (3 papers). The work is most often cited by research in Mechanical Engineering (164 citations), Control and Systems Engineering (94 citations), Computer Vision and Pattern Recognition (79 citations), Psychiatry and Mental health (25 citations) and Aerospace Engineering (46 citations). Weifu Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Devin Balkcom, Jie Zhang, Dawei Huang, Maocai Wang, Amit Chakrabarti, Suks Minhas, Yujiang Xie, Yugui Zheng, David Ralph and Jianguo Yang. Their work appears in journals such as The International Journal of Robotics Research, JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, Oncotarget, Surface and Coatings Technology and Springer tracts in advanced robotics.

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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