Yanting Ai

897 citations
61 papers · 672 · h-index 13

Impact in

Papers in

    • Gear and Bearing Dynamics Analysis 14
    • Tribology and Lubrication Engineering 13
    • Hydraulic and Pneumatic Systems 5
    • Machine Fault Diagnosis Techniques 11
    • Fault Detection and Control Systems 7
    • Magnetic Bearings and Levitation Dynamics 6

Yanting Ai

57 papers receiving 653 citations

Peers

Yanting Ai
Comparison fields: 5 of 69
  • Mechanics of Materials 298
  • Control and Systems Engineering 206
  • Civil and Structural Engineering 178
  • Mechanical Engineering 295
  • Computational Mechanics 88
Replace Hyung‐Joon Bang with:
Hyung‐Joon Bang South Korea
A.K. Wong Australia
Yosuke Tanigawa Japan
Yuri Nikishkov United States
Xun Wang China
Baolin Liu China
Xiongwei Yang China
Christophe Droz France
Nilson Barbieri Brazil
Yanting Ai relative to Hyung‐Joon Bang South Korea Hyung‐Joon Bang's profile →
Citations per field
00.5×2.6×
Hyung‐Joon Bang · 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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009105
2 201684
3 201145
4 201042
5 202337
6 201930
7 200227
8 201925
9 201421
10 201520
11 202417
12 202015
13 200914
14 201912
15 201912
16 202112
17 201810
18 20219
19 20199
20 20239

About Yanting Ai

Yanting Ai is a scholar working on Mechanical Engineering, Control and Systems Engineering, Aerospace Engineering, Mechanics of Materials and Civil and Structural Engineering, having authored 61 papers that have together received 672 indexed citations. Recurring topics across this work include Gear and Bearing Dynamics Analysis (14 papers), Tribology and Lubrication Engineering (13 papers), Machine Fault Diagnosis Techniques (11 papers), High-Temperature Coating Behaviors (9 papers), Fault Detection and Control Systems (7 papers), Magnetic Bearings and Levitation Dynamics (6 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 (298 citations), Control and Systems Engineering (206 citations), Civil and Structural Engineering (178 citations), Mechanical Engineering (295 citations) and Computational Mechanics (88 citations). Yanting Ai has collaborated with scholars based in China, Hong Kong and Bangladesh. Frequent co-authors include Keming Wang, Cheng‐Wei Fei, Song Xiang, Jing Tian, Yundong Sha, Hong Xin Shi, Fengling Zhang, Dan Sun, Peng Guan and Cai Wang. Their work appears in journals such as Mechanical Systems and Signal Processing, Journal of Thermal Spray Technology, Journal of the American Ceramic Society, 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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