OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An optimized stacked diagnosis structure for fault diagnosis of wind turbine planetary gearbox
Lü Li, Yigang He, Yi Ruan, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 7, pp. 075102-075102
Closed Access | Times Cited: 20

Showing 20 citing articles:

A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
Dongdong Liu, Lingli Cui, Weidong Cheng
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 012002-012002
Closed Access | Times Cited: 83

Dynamic normalization supervised contrastive network with multiscale compound attention mechanism for gearbox imbalanced fault diagnosis
Yutong Dong, Hongkai Jiang, Wenxin Jiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108098-108098
Closed Access | Times Cited: 33

Interpretability of deep convolutional neural networks on rolling bearing fault diagnosis
Huixin Yang, Xiang Li, Zhang We
Measurement Science and Technology (2021) Vol. 33, Iss. 5, pp. 055005-055005
Closed Access | Times Cited: 57

Robust fault diagnosis of quayside container crane gearbox based on 2D image representation in frequency domain and CNN
Jianqun Zhang, Qing Zhang, Xianrong Qin, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 324-342
Closed Access | Times Cited: 23

A gearbox fault diagnosis method based on Swin Transformer and Markov transform fields
Jiangran Liu, Rujiang Hao, Feiyue Deng, et al.
Engineering Research Express (2025) Vol. 7, Iss. 1, pp. 015225-015225
Closed Access

A planetary gearbox fault diagnosis method based on time-series imaging feature fusion and a transformer model
Rui Wu, Chao Liu, Te Han, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 2, pp. 024006-024006
Closed Access | Times Cited: 18

Gearbox Fault Diagnosis Based on Gramian Angular Field and CSKD-ResNeXt
Yanlin Liu, Shuihai Dou, Yanping Du, et al.
Electronics (2023) Vol. 12, Iss. 11, pp. 2475-2475
Open Access | Times Cited: 9

Chaos quantum optimization‐based layered diagnosis framework for faulty sensor node diagnosis and classification in wireless sensor networks
Nagarajan Babu, Sripathi Venkata Naga Santhosh Kumar
International Journal of Communication Systems (2024) Vol. 37, Iss. 11
Closed Access | Times Cited: 2

A recursive multi-head graph attention residual network for high-speed train wheelset bearing fault diagnosis
Zonghao Yuan, Xin Li, Suyan Liu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065108-065108
Closed Access | Times Cited: 6

A Probabilistic Bayesian Parallel Deep Learning Framework for Wind Turbine Bearing Fault Diagnosis
Liang Meng, Yuanhao Su, Xiaojia Kong, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7644-7644
Open Access | Times Cited: 8

A novel gearbox local fault feature extraction method based on quality coefficient and dictionary learning
Zhongze Liu, Huibin Lin, Ding Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 065112-065112
Closed Access | Times Cited: 1

A novel federated deep learning framework for diagnosis of partial discharge in gas-insulated switchgear
Yanxin Wang, Jing Yan, Qianzhen Jing, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 9, pp. 095112-095112
Closed Access | Times Cited: 7

Fault diagnosis of bearing-rotor system based on infrared thermography: ReSPP with multi-scaled training method
Dong An, Zetong Liu, Meng Shao, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125030-125030
Closed Access | Times Cited: 3

A new fault detection strategy for wind turbine rotor imbalance based on multi-condition vibration signal analysis
Zekun Wang, Jin Xu, Yan Jia, et al.
Journal of Renewable and Sustainable Energy (2023) Vol. 15, Iss. 3
Closed Access | Times Cited: 2

A multiple fault diagnosis approach for transformer based on double antenna RFID sensor and PSA-optimized LSTM
Tao Wang, Yang Song, Ruihan Yin, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125144-125144
Closed Access | Times Cited: 2

An unsupervised intelligent fault diagnosis research for rotating machinery based on NND-SAM method
Haifeng Zhang, Fengqian Zou, Shengtian Sang, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035906-035906
Closed Access | Times Cited: 4

A novel approach of fault diagnosis for gearbox based on VMD optimized by SSA and improved RCMDE
Jiahao Cao, Xiaodong Zhang, Hongwei Wang, et al.
Journal of Vibration and Control (2024)
Closed Access

Design of a Wireless Power Supply for Self-Powered RFID Sensor Tag Applied in Substation
Lei Wang, Xiaozhong Yang, Zheng Wang, et al.
Lecture notes in electrical engineering (2024), pp. 576-584
Closed Access

A Novel RFID Sensor for Real-Time Temperature Monitoring in Substation
Lanying Li, Ruihan Yin, Ming Jie Fang, et al.
Lecture notes in electrical engineering (2024), pp. 676-682
Closed Access

Multi-sensor gearbox fault diagnosis using generalized minimum entropy deconvolution and main frequency center extraction
Wenyu Liu, Qiang Wang, Feiyun Xu
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015117-015117
Closed Access | Times Cited: 1

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