Yanting Ai

934 citations
66 papers · 722 · h-index 14

Impact in

Papers in

    • Machine Fault Diagnosis Techniques 11
    • Fault Detection and Control Systems 7
    • Magnetic Bearings and Levitation Dynamics 7
    • Gear and Bearing Dynamics Analysis 15
    • Tribology and Lubrication Engineering 14
    • Hydraulic and Pneumatic Systems 5

Yanting Ai

59 papers receiving 697 citations

Peers

Yanting Ai
Comparison fields: 5 of 70
  • Mechanics of Materials 305
  • Control and Systems Engineering 214
  • Civil and Structural Engineering 184
  • Mechanical Engineering 308
  • Computational Mechanics 91
Replace Shaoqing Wu with:
Shaoqing Wu China
A.K. Wong Australia
Hyung‐Joon Bang South Korea
Yosuke Tanigawa Japan
Gaël Chevallier France
Xun Wang China
Yuri G. Nikishkov United States
Lai Zou China
Baolin Liu China
Yanting Ai relative to Shaoqing Wu China Shaoqing Wu's profile →
Citations per field
00.5×1.5×2.0×
Shaoqing Wu · 1×
Citations per year

Countries citing papers authored by Yanting Ai

Since Specialization
Citations

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

Fields of papers citing papers by Yanting Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanting Ai, 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 Yanting Ai Line = papers co-authored together Yanting Ai 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 2009110
2 201686
3 201149
4 201043
5 202341
6 201930
7 200227
8 201927
9 201423
10 201521
11 202420
12 202016
13 201915
14 200914
15 202113
16 201912
17 201811
18 202110
19 20199
20 20219

About Yanting Ai

Yanting Ai is a scholar working on Control and Systems Engineering, Mechanical Engineering, Aerospace Engineering, Mechanics of Materials and Civil and Structural Engineering, having authored 66 papers that have together received 722 indexed citations. Recurring topics across this work include Gear and Bearing Dynamics Analysis (15 papers), Tribology and Lubrication Engineering (14 papers), High-Temperature Coating Behaviors (12 papers), Machine Fault Diagnosis Techniques (11 papers), Fault Detection and Control Systems (7 papers), Magnetic Bearings and Levitation Dynamics (7 papers), Acoustic Wave Phenomena Research (6 papers) and Hydraulic and Pneumatic Systems (5 papers). The work is most often cited by research in Mechanics of Materials (305 citations), Control and Systems Engineering (214 citations), Civil and Structural Engineering (184 citations), Mechanical Engineering (308 citations) and Computational Mechanics (91 citations). Yanting Ai has collaborated with scholars based in China, Hong Kong and Bangladesh. Frequent co-authors include Keming Wang, Jing Rui Tian, Cheng‐Wei Fei, Song Xiang, Hong Xin Shi, Yundong Sha, Fengling Zhang, Dan Sun, Peng Guan and Cai Wang. Their work appears in journals such as Mechanical Systems and Signal Processing, Journal of the American Ceramic Society, Journal of Thermal Spray Technology, Shock and Vibration and Sensors.

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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