Ling Xiang

4.1k citations
110 papers · 3.1k · 5 hit papers · h-index 33

Impact in

Papers in

Ling Xiang

95 papers receiving 3.0k citations

Ling Xiang's Hit Papers

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios 2024 · 79 citations
790+1+3Years since publication100200300

Peers

Ling Xiang
Comparison fields: 5 of 86
  • Control and Systems Engineering 2.0k
  • Mechanical Engineering 1.5k
  • Mechanics of Materials 596
  • Energy Engineering and Power Technology 53
  • Safety, Risk, Reliability and Quality 140
Replace Aijun Hu with:
Aijun Hu China
Jian Ma China
Silvio Simani Italy
Kurt Stockman Belgium
P. Stephan Heyns South Africa
Demba Diallo France
Yang Zheng China
Yanhe Xu China
Tongyang Pan China
Ling Xiang relative to Aijun Hu China Aijun Hu's profile →
Citations per field
00.5×1.5×2.0×
Aijun Hu · 1×
Citations per year

Countries citing papers authored by Ling Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism
Hit paper breakdown →
2021303
2
A novel method based on meta-learning for bearing fault diagnosis with small sample learning under different working conditions
Hit paper breakdown →
2022211
3
Condition monitoring and anomaly detection of wind turbine based on cascaded and bidirectional deep learning networks
Hit paper breakdown →
2021178
4 2016124
5 2022116
6 2021110
7 2020107
8 201786
9
MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
Hit paper breakdown →
202479
10 202372
11 201766
12 201566
13 202264
14 201957
15 202354
16 201654
17
CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis
Hit paper breakdown →
202452
18 202351
19 202249
20 201547

About Ling Xiang

Ling Xiang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Mechanics of Materials and Artificial Intelligence, having authored 110 papers that have together received 3.1k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (62 papers), Gear and Bearing Dynamics Analysis (48 papers), Tribology and Lubrication Engineering (20 papers), Fault Detection and Control Systems (15 papers), Engineering Diagnostics and Reliability (14 papers), Magnetic Bearings and Levitation Dynamics (13 papers), Energy Load and Power Forecasting (12 papers) and Structural Health Monitoring Techniques (12 papers). The work is most often cited by research in Control and Systems Engineering (2.0k citations), Mechanical Engineering (1.5k citations), Mechanics of Materials (596 citations), Energy Engineering and Power Technology (53 citations) and Safety, Risk, Reliability and Quality (140 citations). Ling Xiang has collaborated with scholars based in China, United Kingdom and Thailand. Frequent co-authors include Aijun Hu, Hao Su, Xin Yang, Aijun Hu, Xiaoan Yan, Yonggang Xu, Penghe Wang, Nan Gao, Yue Zhang and Dong Jiang. Their work appears in journals such as Measurement Science and Technology, Measurement, Applied Mathematical Modelling, Mechanical Systems and Signal Processing and International Journal of Bifurcation and Chaos.

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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