Gang Mao

458 total citations
22 papers, 344 citations indexed

About

Gang Mao is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Gang Mao has authored 22 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 11 papers in Control and Systems Engineering and 6 papers in Mechanics of Materials. Recurrent topics in Gang Mao's work include Machine Fault Diagnosis Techniques (10 papers), Gear and Bearing Dynamics Analysis (5 papers) and Non-Destructive Testing Techniques (3 papers). Gang Mao is often cited by papers focused on Machine Fault Diagnosis Techniques (10 papers), Gear and Bearing Dynamics Analysis (5 papers) and Non-Destructive Testing Techniques (3 papers). Gang Mao collaborates with scholars based in China. Gang Mao's co-authors include Yongbo Li, Qibin Wang, Hongbo Ma, Khandaker Noman, Xianguang Kong, Sixiang Jia, Bin Qiao, Bo Zhao, Zhongzheng Zhang and Xianmin Mai and has published in prestigious journals such as Renewable Energy, Sensors and Sustainability.

In The Last Decade

Gang Mao

21 papers receiving 340 citations

Peers

Gang Mao
Anqi Wang China
Yaowei Shi China
Filip Kulić Serbia
Ziqian Kong China
Lihui Zhang China
Marcos Quiñones-Grueiro United States
Mohammad Waqar Ali Asad Australia
Yuan Yu China
Anqi Wang China
Gang Mao
Citations per year, relative to Gang Mao Gang Mao (= 1×) peers Anqi Wang

Countries citing papers authored by Gang Mao

Since Specialization
Citations

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

Fields of papers citing papers by Gang Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Mao. A scholar is included among the top collaborators of Gang Mao 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 Gang Mao. Gang Mao 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.
Noman, Khandaker, et al.. (2025). Multisource Heterogeneous Information Fusion Based on Graph Convolutional Network for Gearbox Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 74. 1–15. 1 indexed citations
2.
3.
Zhang, Yin, et al.. (2024). Ideal mass transfer cycle and thermal performance optimization for liquid desiccant air conditioning system. Results in Physics. 57. 107343–107343. 1 indexed citations
4.
Li, Jin, et al.. (2023). Meteorological Impact on Dynamic Air Pollutant Concentrations in Different Timescales: Typical Case in Chengdu Megacity, China. Water Air & Soil Pollution. 234(11). 2 indexed citations
5.
Mao, Gang, et al.. (2023). Green Renovation and Retrofitting of Old Buildings: A Case Study of a Concrete Brick Apartment in Chengdu. Sustainability. 15(16). 12409–12409. 9 indexed citations
6.
Mao, Gang, Yongbo Li, Zhiqiang Cai, Bin Qiao, & Sixiang Jia. (2023). Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets. Engineering Applications of Artificial Intelligence. 125. 106670–106670. 12 indexed citations
7.
Yang, Qianru, et al.. (2023). A Novel Molecular PCM Wall with Inorganic Composite: Dynamic Thermal Analysis and Optimization in Charge–Discharge Cycles. Materials. 16(17). 5955–5955. 2 indexed citations
8.
9.
Mao, Gang, et al.. (2023). Numerical computation on cavity natural convection for built-in plate arrays application: Heat transfer analysis and optimization. Numerical Heat Transfer Part A Applications. 86(5). 1268–1287. 2 indexed citations
10.
Jia, Sixiang, Yongbo Li, Gang Mao, & Khandaker Noman. (2023). Multi-representation symbolic convolutional neural network: a novel multisource cross-domain fault diagnosis method for rotating system. Structural Health Monitoring. 22(6). 3940–3955. 8 indexed citations
11.
Mao, Gang, Yongbo Li, Sixiang Jia, & Khandaker Noman. (2022). Interactive dual adversarial neural network framework: An open-set domain adaptation intelligent fault diagnosis method of rotating machinery. Measurement. 195. 111125–111125. 48 indexed citations
12.
Noman, Khandaker, Yongbo Li, Shubin Si, Shun Wang, & Gang Mao. (2022). Oscillatory Lempel–Ziv Complexity Calculation as a Nonlinear Measure for Continuous Monitoring of Bearing Health. IEEE Transactions on Reliability. 72(1). 151–165. 14 indexed citations
13.
Mao, Gang, Zhongzheng Zhang, Bin Qiao, & Yongbo Li. (2022). Fusion Domain-Adaptation CNN Driven by Images and Vibration Signals for Fault Diagnosis of Gearbox Cross-Working Conditions. Entropy. 24(1). 119–119. 36 indexed citations
14.
Mao, Gang, Zhongzheng Zhang, Sixiang Jia, Khandaker Noman, & Yongbo Li. (2022). Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain. Sensors. 22(7). 2579–2579. 5 indexed citations
15.
Mao, Gang, et al.. (2022). A fusion CNN driven by images and vibration signals for fault diagnosis of gearbox. Journal of Physics Conference Series. 2252(1). 12076–12076. 2 indexed citations
16.
Mao, Gang, et al.. (2021). Improving the Thermal Aging Resistance of γ‐Vulcanized Polybutadiene Rubber (BR)/Nature Rubber (NR) Blends with Sulfur Added. Advances in Materials Science and Engineering. 2021(1). 9 indexed citations
17.
Mao, Gang, et al.. (2020). Forecasting air passenger traffic flow based on the two-phase learning model. The Journal of Supercomputing. 77(5). 4221–4243. 9 indexed citations
18.
19.
Wang, Qibin, et al.. (2019). A method for rapidly evaluating reliability and predicting remaining useful life using two-dimensional convolutional neural network with signal conversion. Journal of Mechanical Science and Technology. 33(6). 2561–2571. 57 indexed citations
20.
Wang, Yong & Gang Mao. (2016). Fast GNSS satellite signal acquisition method based on multiple resamplings. EURASIP Journal on Advances in Signal Processing. 2016(1). 3 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.

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