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:

Multi-level weighted dynamic adversarial adaptation network for partial set cross-domain fault diagnosis
Yuteng Zhang, Hongliang Zhang, Rui Wang, et al.
Measurement (2023) Vol. 223, pp. 113712-113712
Closed Access | Times Cited: 7

Showing 7 citing articles:

CFI-LFENet: Infusing cross-domain fusion image and lightweight feature enhanced network for fault diagnosis
Chao Lian, Yuliang Zhao, Jinliang Shao, et al.
Information Fusion (2023) Vol. 104, pp. 102162-102162
Closed Access | Times Cited: 19

Domain-specific adaptation network for inverter fault diagnosis: Knowledge transfer from simulation to physical domain
Qun Guo, Gang Li, Jun Lin
Measurement (2024) Vol. 227, pp. 114299-114299
Closed Access | Times Cited: 5

A centroid contrastive multi-source domain adaptation method for fault diagnosis with category shift
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Measurement (2025), pp. 116801-116801
Closed Access

Multiscale Conditional Adversarial Networks Based Domain-Adaptive Method for Rotating Machinery Fault Diagnosis Under Variable Working Conditions
Z. K. Hei, Haiyang Yang, Weifang Sun, et al.
ISA Transactions (2024) Vol. 154, pp. 352-370
Closed Access | Times Cited: 2

A review on adversarial–based deep transfer learning mechanical fault diagnosis
Yu Guo, Ziyi Cheng, Jundong Zhang, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2

A partial domain adaptation broad learning system for machinery fault diagnosis
Aisong Qin, Qin Hu, Qinghua Zhang, et al.
Measurement (2024) Vol. 243, pp. 116437-116437
Closed Access | Times Cited: 1

Partial transfer learning method based on MDWCAN for rolling bearing fault diagnosis under noisy conditions
H Wang, Yibin Li, Mingshun Jiang, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 16, pp. 8561-8575
Closed Access

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