Andrew D. Ball

3.7k total citations · 2 hit papers
135 papers, 2.7k citations indexed

About

Andrew D. Ball is a scholar working on Mechanical Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Andrew D. Ball has authored 135 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Mechanical Engineering, 75 papers in Control and Systems Engineering and 31 papers in Civil and Structural Engineering. Recurrent topics in Andrew D. Ball's work include Machine Fault Diagnosis Techniques (65 papers), Gear and Bearing Dynamics Analysis (50 papers) and Fault Detection and Control Systems (27 papers). Andrew D. Ball is often cited by papers focused on Machine Fault Diagnosis Techniques (65 papers), Gear and Bearing Dynamics Analysis (50 papers) and Fault Detection and Control Systems (27 papers). Andrew D. Ball collaborates with scholars based in United Kingdom, China and Poland. Andrew D. Ball's co-authors include Fengshou Gu, Dong Zhen, Zuolu Wang, Guojin Feng, Junchao Guo, Len Gelman, Xiaocong He, Yuandong Xu, Yimin Shao and Zhanqun Shi and has published in prestigious journals such as Scientific Reports, Applied Energy and Energy Conversion and Management.

In The Last Decade

Andrew D. Ball

127 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

2021 307 citations Zuolu Wang, Guojin Feng et al. Energy Reports profile →
Product envelope spectrum optimization-gram: An enhanced envelope analysis for rolling bearing fault diagnosis

2023 99 citations Bingyan Chen, Weihua Zhang et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andrew D. Ball United Kingdom	30	1.5k	1.3k	634	551	551	135	2.7k
Dong Zhen China	25	921 0.6×	1.1k 0.9×	545 0.9×	449 0.8×	409 0.7×	127	2.2k
Walter Sextro Germany	21	989 0.7×	1.2k 0.9×	455 0.7×	291 0.5×	564 1.0×	122	2.2k
Yassine Amirat France	27	585 0.4×	1.6k 1.2×	1.2k 2.0×	269 0.5×	236 0.4×	129	2.5k
A.R. Mohanty India	29	2.0k 1.3×	2.0k 1.5×	437 0.7×	216 0.4×	796 1.4×	95	3.4k
A. Bellini Italy	30	2.1k 1.4×	3.6k 2.7×	2.0k 3.1×	427 0.8×	684 1.2×	155	4.9k
Guangrui Wen China	25	1.3k 0.9×	1.1k 0.8×	267 0.4×	168 0.3×	527 1.0×	136	2.3k
Toomas Vaimann Estonia	27	1.1k 0.7×	1.1k 0.9×	1.4k 2.2×	465 0.8×	241 0.4×	273	2.7k
Ants Kallaste Estonia	26	1.1k 0.7×	1.0k 0.8×	1.4k 2.2×	474 0.9×	223 0.4×	239	2.6k
Hesheng Tang China	29	1.4k 0.9×	1.4k 1.1×	166 0.3×	116 0.2×	551 1.0×	99	2.3k
Shoudao Huang China	33	743 0.5×	1.9k 1.5×	2.6k 4.2×	208 0.4×	488 0.9×	345	3.9k

Countries citing papers authored by Andrew D. Ball

Since Specialization

Citations

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

Fields of papers citing papers by Andrew D. Ball

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D. Ball. 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 Andrew D. Ball. The network helps show where Andrew D. Ball may publish in the future.

Co-authorship network of co-authors of Andrew D. Ball

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. Ball. A scholar is included among the top collaborators of Andrew D. Ball 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 Andrew D. Ball. Andrew D. Ball is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Fu, Lei, et al.. (2025). Modeling raster bead deformation process for monitoring fused filament fabrication using acoustic emission. Progress in Additive Manufacturing. 10(9). 6071–6087. 1 indexed citations

Yue, Kun, et al.. (2024). Modeling and analysis of internal excitation and vibration characteristics of gears with early-stage crack and 3D tooth surface error. Engineering Failure Analysis. 168. 109116–109116.

Gelman, Len, et al.. (2024). A Novel Diagnostic Feature for a Wind Turbine Imbalance Under Variable Speed Conditions. Sensors. 24(21). 7073–7073. 1 indexed citations

Wang, Zuolu, et al.. (2024). A Meta-Learning Method for Few-Shot Multidomain State-of-Health Estimation of Lithium-Ion Batteries. IEEE Transactions on Transportation Electrification. 11(1). 4830–4840. 6 indexed citations

Chen, Bingyan, Wade A. Smith, Yao Cheng, et al.. (2024). Probability distributions and typical sparsity measures of Hilbert transform-based generalized envelopes and their application to machine condition monitoring. Mechanical Systems and Signal Processing. 224. 112026–112026. 18 indexed citations

Feng, Guojin, et al.. (2024). The Design and Fabrication of an On-Rotor Sensing Wireless Vibration Node for Motor Condition Monitoring. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 2 indexed citations

Chen, Bingyan, Yao Cheng, Hui Cao, et al.. (2024). Generalized Statistical Indicators-Guided Signal Blind Deconvolution for Fault Diagnosis of Railway Vehicle Axle-Box Bearings. IEEE Transactions on Vehicular Technology. 74(2). 2458–2469. 13 indexed citations

Chen, Bingyan, Weihua Zhang, James Xi Gu, et al.. (2023). Product envelope spectrum optimization-gram: An enhanced envelope analysis for rolling bearing fault diagnosis. Mechanical Systems and Signal Processing. 193. 110270–110270. 99 indexed citations breakdown →

Wang, Zuolu, et al.. (2023). A review on rapid state of health estimation of lithium-ion batteries in electric vehicles. Sustainable Energy Technologies and Assessments. 60. 103457–103457. 55 indexed citations

10.

Gu, Fengshou, et al.. (2022). Enhancing Virtual Real-Time Monitoring of Photovoltaic Power Systems Based on the Internet of Things. Electronics. 11(15). 2469–2469. 12 indexed citations

11.

Wang, Zuolu, Guojin Feng, Dong Zhen, Fengshou Gu, & Andrew D. Ball. (2021). A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles. Energy Reports. 7. 5141–5161. 307 indexed citations breakdown →

12.

Xu, Yuandong, et al.. (2021). Orthogonal On-Rotor Sensing Vibrations for Condition Monitoring of Rotating Machines. Huddersfield Research Portal (University of Huddersfield). 1(1). 29–36. 36 indexed citations

13.

Hu, Lei, Yuandong Xu, Fengshou Gu, et al.. (2019). Autocorrelation Ensemble Average of Larger Amplitude Impact Transients for the Fault Diagnosis of Rolling Element Bearings. Energies. 12(24). 4740–4740. 3 indexed citations

14.

Huang, Baoshan, Guojin Feng, Xiaoli Tang, et al.. (2019). A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems. Energies. 12(8). 1438–1438. 23 indexed citations

15.

Zhang, Bei, Qichang Zhang, Wei Wang, et al.. (2019). Dynamic Modeling and Structural Optimization of a Bistable Electromagnetic Vibration Energy Harvester. Energies. 12(12). 2410–2410. 13 indexed citations

16.

Gu, James Xi, Fengshou Gu, Zhi Chen, et al.. (2019). An Investigation into the Acoustic Emissions of Internal Combustion Engines with Modelling and Wavelet Package Analysis for Monitoring Lubrication Conditions. Energies. 12(4). 640–640. 9 indexed citations

17.

Li, Haiyang, Zuolu Wang, Dong Zhen, Fengshou Gu, & Andrew D. Ball. (2019). Modulation Sideband Separation Using the Teager–Kaiser Energy Operator for Rotor Fault Diagnostics of Induction Motors. Energies. 12(23). 4437–4437. 16 indexed citations

18.

Fu, Chao, Dong Zhen, Yongfeng Yang, Fengshou Gu, & Andrew D. Ball. (2019). Effects of Bounded Uncertainties on the Dynamic Characteristics of an Overhung Rotor System with Rubbing Fault. Energies. 12(22). 4365–4365. 9 indexed citations

19.

Guo, Junchao, Zhanqun Shi, Haiyang Li, et al.. (2018). Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis. Sensors. 18(9). 2908–2908. 34 indexed citations

20.

Hu, Lei, Lun Zhang, Fengshou Gu, Niaoqing Hu, & Andrew D. Ball. (2018). Extraction of the largest amplitude impact transients for diagnosing rolling element defects in bearings. Mechanical Systems and Signal Processing. 116. 796–815. 12 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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