Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A digital twin auxiliary approach based on adaptive sparse attention network for diesel engine fault diagnosis
Jiajie Jiang, Hui Li, Zhiwei Mao, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application
Haixin Lv, Jinglong Chen, Tongyang Pan, et al.
Measurement (2022) Vol. 199, pp. 111594-111594
Closed Access | Times Cited: 148
Robust triboelectric information‐mat enhanced by multi‐modality deep learning for smart home
Yanqin Yang, Qiongfeng Shi, Zixuan Zhang, et al.
InfoMat (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 65
Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning
Zhiquan Cui, Yanlin Lu, Yan Xu, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123969-123969
Closed Access | Times Cited: 10
Digital twin-driven prognostics and health management for industrial assets
Bin Xiao, Jingshu Zhong, Xiangyu Bao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Priori-distribution-guided adaptive sparse attention for cross-domain feature mining in diesel engine fault diagnosis
He Li, Jinjie Zhang, Zhenjing Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107975-107975
Closed Access | Times Cited: 6
Fault diagnosis based on gated recurrent unit network with attention mechanism and transfer learning under few samples in nuclear power plants
Gensheng Qian, Jingquan Liu
Progress in Nuclear Energy (2022) Vol. 155, pp. 104502-104502
Closed Access | Times Cited: 26
A multi-sensor mapping Bi-LSTM model of bridge monitoring data based on spatial-temporal attention mechanism
Kang Yang, Youliang Ding, Fangfang Geng, et al.
Measurement (2023) Vol. 217, pp. 113053-113053
Closed Access | Times Cited: 15
A PV cell defect detector combined with transformer and attention mechanism
渡辺 雄一郎, Zhenzhen Lv
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Recent Progress in Digital Twin-Driven Fault Diagnosis of Rotating Machinery：A Comprehensive Review
Zhang Pengbo, Renxiang Chen, Lixia Yang, et al.
Neurocomputing (2025), pp. 129914-129914
Closed Access
Data-driven enabling technologies in soft sensors of modern internal combustion engines: Perspectives
Ji Li, Quan Zhou, Xu He, et al.
Energy (2023) Vol. 272, pp. 127067-127067
Open Access | Times Cited: 12
A Deep Learning-Based Fault Warning Model for Exhaust Temperature Prediction and Fault Warning of Marine Diesel Engine
Zhenguo Ji, Huibing Gan, Ben Liu
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 8, pp. 1509-1509
Open Access | Times Cited: 12
Visual analytics for digital twins: a conceptual framework and case study
Hangbin Zheng, Tianyuan Liu, Jiayu Liu, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 4, pp. 1671-1686
Closed Access | Times Cited: 9
Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities
Jherson Bofill, Mideth Abisado, Jocelyn F. Villaverde, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7087-7087
Open Access | Times Cited: 9
Exploring Digital Twin-based Fault Monitoring: Challenges and Opportunities
Jherson Bofill, Mideth Abisado, Gabriel Avelino Sampedro
(2023)
Open Access | Times Cited: 7
Research Progress and Development Trend of Prognostics and Health Management Key Technologies for Equipment Diesel Engine
Zichang Liu, Cuixuan Zhang, Enzhi Dong, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 1972-1972
Open Access | Times Cited: 7
Automation of primary crushing control
Andrey N. Smolyaninov, Irina Pocebneva, Yuri Petukhov, et al.
BIO Web of Conferences (2024) Vol. 84, pp. 01036-01036
Open Access | Times Cited: 2
A state of the art in digital twin for intelligent fault diagnosis
Changhua Hu, Zeming Zhang, Chuanyang Li, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102963-102963
Closed Access | Times Cited: 2
Possibilities of information technologies in the processes of designing efficient processes for the production of aircraft structures
Vyacheslav Bekhmetiev, B. B. Safoklov, Pavel Gusev, et al.
E3S Web of Conferences (2023) Vol. 376, pp. 01092-01092
Open Access | Times Cited: 6
The use of the digital twin in the design of a prefabricated product
Dmitry Golovin, Andrey N. Smolyaninov, Dmitry Degtev, et al.
E3S Web of Conferences (2022) Vol. 363, pp. 04001-04001
Open Access | Times Cited: 9
Research on Digital Twin Dynamic Modeling Method for Transmission Line Deicing System
Qinghao Chen, Tianyu Liu, Zhangqi Wang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1424-1424
Open Access | Times Cited: 1
Fault identification model of diesel engine based on mixed attention: Single-cylinder fault data driven whole-cylinder diagnosis
Shilong Chu, Jinjie Zhang, Fengchun Liu, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124769-124769
Closed Access | Times Cited: 1
Digital-Triplet: a new three entities digital-twin paradigm for equipment fault diagnosis
Huang Zhang, Zili Wang, Shuyou Zhang, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Trustworthy AI for human-centric smart manufacturing: A survey
Dongpeng Li, Shimin Liu, Baicun Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 78, pp. 308-327
Closed Access | Times Cited: 1
High-accuracy virtual testing of air conditioner’s digital twin focusing on key material’s deformation and fracture behavior prediction
Shaohua Fu, Zhenping Wan, Weifeng Lü, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 6
Design forming tooling for manufacturing parts from sheet blanks using digital technologies
Tatiana Dolgova, Dmitry Durov, Andrey N. Smolyaninov, et al.
E3S Web of Conferences (2023) Vol. 376, pp. 01095-01095
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top