Lei Gan

693 total citations
30 papers, 492 citations indexed

About

Lei Gan is a scholar working on Mechanics of Materials, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Lei Gan has authored 30 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanics of Materials, 11 papers in Control and Systems Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Lei Gan's work include Fatigue and fracture mechanics (11 papers), Electric Motor Design and Analysis (10 papers) and Magnetic Bearings and Levitation Dynamics (8 papers). Lei Gan is often cited by papers focused on Fatigue and fracture mechanics (11 papers), Electric Motor Design and Analysis (10 papers) and Magnetic Bearings and Levitation Dynamics (8 papers). Lei Gan collaborates with scholars based in China and United Kingdom. Lei Gan's co-authors include Zheng Zhong, Hao Wu, Feng Chai, Yulong Pei, Xiang Zhao, Can Zhang, Yanjun Yu, Yuexian Zou, Guang Chen and Lei Chen and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Industry Applications.

In The Last Decade

Lei Gan

30 papers receiving 483 citations

Peers

Lei Gan
Dehui Wu China
Ill-Soo Kim South Korea
Qinhe Gao China
He Yang China
Dehui Wu China
Lei Gan
Citations per year, relative to Lei Gan Lei Gan (= 1×) peers Dehui Wu

Countries citing papers authored by Lei Gan

Since Specialization
Citations

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

Fields of papers citing papers by Lei Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Gan. A scholar is included among the top collaborators of Lei Gan 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 Lei Gan. Lei Gan 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.
Gan, Lei, Anbin Wang, Zheng Zhong, & Hao Wu. (2024). Multiaxial fatigue life prediction based on modular neural network pretrained with uniaxial fatigue data. Engineering Computations. 42(7). 2314–2335. 1 indexed citations
2.
Wang, Anbin, et al.. (2024). Graphical Feature Construction-Based Deep Learning Model for Fatigue Life Prediction of AM Alloys. Materials. 18(1). 11–11. 6 indexed citations
3.
Gan, Lei, et al.. (2024). Prediction of multiaxial fatigue life with a data-driven knowledge transfer model. International Journal of Fatigue. 190. 108636–108636. 7 indexed citations
4.
Wu, Hao, et al.. (2024). Feature Transfer Learning for Fatigue Life Prediction of Additive Manufactured Metals With Small Samples. Fatigue & Fracture of Engineering Materials & Structures. 48(1). 467–486. 1 indexed citations
5.
Gan, Lei, et al.. (2023). On the integration of domain knowledge and branching neural network for fatigue life prediction with small samples. International Journal of Fatigue. 172. 107648–107648. 20 indexed citations
6.
Gan, Lei, Hao Wu, & Zheng Zhong. (2022). Estimation of remaining fatigue life with an energy-based model considering the effects of loading sequence and load interaction. International Journal of Damage Mechanics. 32(3). 340–361. 10 indexed citations
7.
Gan, Lei, Hao Wu, & Zheng Zhong. (2022). Fatigue life prediction considering mean stress effect based on random forests and kernel extreme learning machine. International Journal of Fatigue. 158. 106761–106761. 62 indexed citations
8.
Gan, Lei, et al.. (2022). FBNet: Feature Balance Network for Urban-Scene Segmentation. 2022 IEEE International Conference on Multimedia and Expo (ICME). 2. 1–6. 1 indexed citations
9.
Zhang, Can, Yuexian Zou, Guang Chen, & Lei Gan. (2021). EAR: Efficient action recognition with local-global temporal aggregation. Image and Vision Computing. 116. 104329–104329. 3 indexed citations
10.
Gan, Lei, et al.. (2021). On the use of data-driven machine learning for remaining life estimation of metallic materials based on Ye-Wang damage theory. International Journal of Fatigue. 156. 106666–106666. 24 indexed citations
11.
Zhao, Xiang, et al.. (2021). Fatigue life prediction of a supercritical steam turbine rotor based on neural networks. Engineering Failure Analysis. 127. 105435–105435. 29 indexed citations
12.
Gan, Lei, et al.. (2020). Investigation of the power losses in induction machines with rotor eccentricity. Electrical Engineering. 102(3). 1393–1403. 6 indexed citations
13.
Chai, Feng, Lei Gan, Yulong Pei, & Cheng Shu-kang. (2020). Tilting Torque Analysis of an Iron-Cored Tiered-Type Permanent Magnet Spherical Motor. IEEE Transactions on Industrial Electronics. 68(7). 6121–6130. 11 indexed citations
14.
Gan, Lei, Hao Wu, & Zheng Zhong. (2020). Multiaxial fatigue life prediction based on a simplified energy-based model. International Journal of Fatigue. 144. 106036–106036. 24 indexed citations
15.
Chai, Feng, et al.. (2019). Design and Analysis of a Novel Multi-DOF PM Spherical Motor. 57. 1–6. 2 indexed citations
16.
Zhang, Can, Yuexian Zou, Guang Chen, & Lei Gan. (2019). PAN. 500–509. 37 indexed citations
17.
Chai, Feng, Lei Gan, & Yanjun Yu. (2019). Magnetic Field Analysis of an Iron-Cored Tiered Type Permanent Magnet Spherical Motor Using Modified Dynamic Reluctance Mesh Method. IEEE Transactions on Industrial Electronics. 67(8). 6742–6751. 29 indexed citations
18.
Shen, Zhenzhong, et al.. (2018). A new model approach to predict the unloading rock slope displacement behavior based on monitoring data. STRUCTURAL ENGINEERING AND MECHANICS. 67(2). 105. 5 indexed citations
19.
Chai, Feng, Kun Zhao, Zhenqi Li, & Lei Gan. (2017). Flux weakening performance of permanent magnet synchronous motors with a conical rotor. 2017 IEEE International Magnetics Conference (INTERMAG). 50. 1–1. 7 indexed citations
20.
Wang, Mingqiao, et al.. (2017). An Easy-to-Implement Hysteresis Model Identification Method Based on Support Vector Regression. IEEE Transactions on Magnetics. 53(11). 1–4. 7 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026