Aiming Wang

787 citations
64 papers · 608 · h-index 12

Impact in

    • High Entropy Alloys Studies
    • Gear and Bearing Dynamics Analysis
    • Tribology and Lubrication Engineering
    • Metallic Glasses and Amorphous Alloys
    • Machine Fault Diagnosis Techniques
    • Magnetic Bearings and Levitation Dynamics
    • Fault Detection and Control Systems

Papers in

Aiming Wang

57 papers receiving 595 citations

Peers

Aiming Wang
Comparison fields: 5 of 84
  • Mechanical Engineering 313
  • Control and Systems Engineering 158
  • Mechanics of Materials 101
  • Ceramics and Composites 23
  • Inorganic Chemistry 40
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Xiaolong Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Aiming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Aiming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005125
2 201860
3 202034
4 201631
5 202427
6 201827
7 201125
8 202423
9 202121
10 202221
11 201914
12 202312
13 202312
14 201011
15 201911
16 200910
17 20239
18 19969
19 20098
20 20127

About Aiming Wang

Aiming Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials and Aerospace Engineering, having authored 64 papers that have together received 608 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (9 papers), Tribology and Lubrication Engineering (9 papers), Advanced Steganography and Watermarking Techniques (8 papers), Digital Media Forensic Detection (8 papers), Metallic Glasses and Amorphous Alloys (6 papers), Chaos-based Image/Signal Encryption (6 papers) and Magnetic Bearings and Levitation Dynamics (5 papers). The work is most often cited by research in Mechanical Engineering (313 citations), Control and Systems Engineering (158 citations), Mechanics of Materials (101 citations), Ceramics and Composites (23 citations) and Inorganic Chemistry (40 citations). Aiming Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Guoying Meng, Derek E. Beving, Andrew M. P. McDonnell, Wei‐Ying Chen, Yushan S. Yan, Haifeng Zhang, Xiao Yu, Xiaohan Cheng, Huameng Fu and Zhengwang Zhu. Their work appears in journals such as Applied Sciences, Shock and Vibration, Sensors, Mechanical Systems and Signal Processing and Journal of Vibration and Control.

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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