Xiaomei Ni

840 total citations
26 papers, 638 citations indexed

About

Xiaomei Ni is a scholar working on Control and Systems Engineering, Mechanical Engineering and Radiological and Ultrasound Technology. According to data from OpenAlex, Xiaomei Ni has authored 26 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 12 papers in Mechanical Engineering and 4 papers in Radiological and Ultrasound Technology. Recurrent topics in Xiaomei Ni's work include Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (10 papers) and Risk and Safety Analysis (4 papers). Xiaomei Ni is often cited by papers focused on Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (10 papers) and Risk and Safety Analysis (4 papers). Xiaomei Ni collaborates with scholars based in China, Malaysia and United States. Xiaomei Ni's co-authors include Changchang Che, Huawei Wang, Qiang Fu, Huawei Wang, Vera Meyer, Huanhuan Zhai, Jibin Sun, Timothy C. Cairns, Minglan Xiong and Lihui Zhang and has published in prestigious journals such as The Plant Cell, Safety Science and Computers & Industrial Engineering.

In The Last Decade

Xiaomei Ni

24 papers receiving 610 citations

Peers

Xiaomei Ni
Changchang Che China
Sinan Li China
Chaoying Yang China
Zexian Wei China
Beike Zhang China
Daoming She China
Yuanhong Chang China
Pradeep Kundu India
Alexander E. Prosvirin South Korea
Changchang Che China
Xiaomei Ni
Citations per year, relative to Xiaomei Ni Xiaomei Ni (= 1×) peers Changchang Che

Countries citing papers authored by Xiaomei Ni

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomei Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomei Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomei Ni. A scholar is included among the top collaborators of Xiaomei Ni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaomei Ni. Xiaomei Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xin, Miaomiao, et al.. (2025). Tool Wear Prediction Based on Adaptive Feature-Temporal Weighted Method and Long Short-term Memory Model. International Journal of Automotive and Mechanical Engineering. 22(1). 12174–12185.
2.
He, Chaochao, Runhui Li, Tingting Sun, et al.. (2024). Boosting transcriptional activities by employing repeated activation domains in transcription factors. The Plant Cell. 37(2). 4 indexed citations
3.
4.
Ni, Xiaomei, et al.. (2024). Classification of Aviation Incident Causes using LGBM with Improved Cross-Validation. Journal of Systems Engineering and Electronics. 35(2). 396–405. 2 indexed citations
5.
Che, Changchang, et al.. (2023). Few-shot structural repair decision of civil aircraft based on deep meta-learning. Engineering Applications of Artificial Intelligence. 125. 106695–106695. 11 indexed citations
6.
Zheng, Xiaomei, Timothy C. Cairns, Xiaomei Ni, et al.. (2022). Comprehensively dissecting the hub regulation of PkaC on high‐productivity and pellet macromorphology in citric acid producing Aspergillus niger. Microbial Biotechnology. 15(6). 1867–1882. 28 indexed citations
7.
Che, Changchang, Huawei Wang, Xiaomei Ni, & Minglan Xiong. (2022). Multi-head self-attention bidirectional gated recurrent unit for end-to-end remaining useful life prediction of mechanical equipment. Measurement Science and Technology. 33(11). 115115–115115. 14 indexed citations
8.
Che, Changchang, et al.. (2022). Deep meta-learning and variational autoencoder for coupling fault diagnosis of rolling bearing under variable working conditions. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 236(17). 9900–9913. 13 indexed citations
9.
Che, Changchang, et al.. (2022). Semi-supervised multitask deep convolutional generative adversarial network for unbalanced fault diagnosis of rolling bearing. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 44(7). 11 indexed citations
10.
11.
Che, Changchang, Huawei Wang, Xiaomei Ni, & Qiang Fu. (2021). Performance degradation prediction of aeroengine based on attention model and support vector regression. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 236(2). 410–416. 4 indexed citations
12.
Che, Changchang, Huawei Wang, Xiaomei Ni, & Qiang Fu. (2020). Intelligent fault diagnosis method of rolling bearing based on stacked denoising autoencoder and convolutional neural network. Industrial Lubrication and Tribology. 72(7). 947–953. 15 indexed citations
13.
Che, Changchang, et al.. (2020). Hybrid multimodal fusion with deep learning for rolling bearing fault diagnosis. Measurement. 173. 108655–108655. 69 indexed citations
14.
Che, Changchang, Huawei Wang, Xiaomei Ni, & Qiang Fu. (2020). Domain adaptive deep belief network for rolling bearing fault diagnosis. Computers & Industrial Engineering. 143. 106427–106427. 145 indexed citations
15.
Ni, Xiaomei, Huawei Wang, & Changchang Che. (2019). Risk Index Prediction of Civil Aviation Based on Deep Neural Network. Transaction of Nanjing University of Aeronautics and Astronautics. 36(2). 313–319. 2 indexed citations
16.
Che, Changchang, Huawei Wang, & Xiaomei Ni. (2019). Reliability Analysis of Complex Systems with Failure Propagation. Defence Science Journal. 69(5). 481–488. 4 indexed citations
17.
Che, Changchang, Huawei Wang, Qiang Fu, & Xiaomei Ni. (2019). Deep transfer learning for rolling bearing fault diagnosis under variable operating conditions. Advances in Mechanical Engineering. 11(12). 40 indexed citations
18.
Che, Changchang, Huawei Wang, Qiang Fu, & Xiaomei Ni. (2019). Combining multiple deep learning algorithms for prognostic and health management of aircraft. Aerospace Science and Technology. 94. 105423–105423. 105 indexed citations
19.
Che, Changchang, et al.. (2018). Fault fusion diagnosis of aero-engine based on deep learning. Beijing Hangkong Hangtian Daxue xuebao. 44(3). 621. 11 indexed citations
20.

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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