James Xi Gu

689 total citations · 1 hit paper
21 papers, 522 citations indexed

About

James Xi Gu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, James Xi Gu has authored 21 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 13 papers in Mechanical Engineering and 7 papers in Civil and Structural Engineering. Recurrent topics in James Xi Gu's work include Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (11 papers) and Structural Health Monitoring Techniques (7 papers). James Xi Gu is often cited by papers focused on Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (11 papers) and Structural Health Monitoring Techniques (7 papers). James Xi Gu collaborates with scholars based in United Kingdom, China and Canada. James Xi Gu's co-authors include Fengshou Gu, Andrew D. Ball, Andrew Ball, Dong Zhen, Bingyan Chen, Dongli Song, Xiange Tian, Weihua Zhang, Yao Cheng and Zhijian Wang and has published in prestigious journals such as Sensors, Mechanical Systems and Signal Processing and Energies.

In The Last Decade

James Xi Gu

19 papers receiving 508 citations

Hit Papers

Product envelope spectrum optimization-gram: An enhanced ... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Xi Gu United Kingdom 12 434 342 157 69 43 21 522
Zhanqun Shi China 14 279 0.6× 419 1.2× 152 1.0× 61 0.9× 36 0.8× 46 579
Jianyu Zhang China 11 378 0.9× 329 1.0× 106 0.7× 50 0.7× 24 0.6× 32 503
Gianluca D’Elia Italy 14 417 1.0× 400 1.2× 134 0.9× 82 1.2× 29 0.7× 33 600
Scott Alexander Billington United States 7 377 0.9× 274 0.8× 140 0.9× 93 1.3× 49 1.1× 12 519
X.J. Li China 3 378 0.9× 246 0.7× 162 1.0× 45 0.7× 27 0.6× 5 438
Naim Baydar United Kingdom 5 501 1.2× 362 1.1× 128 0.8× 115 1.7× 40 0.9× 6 588
Lanto Rasolofondraibe France 11 228 0.5× 231 0.7× 91 0.6× 84 1.2× 36 0.8× 37 393
Jin Ji Gao China 4 379 0.9× 257 0.8× 163 1.0× 43 0.6× 27 0.6× 7 440
D.H. Pandya India 9 361 0.8× 306 0.9× 129 0.8× 40 0.6× 46 1.1× 14 487
Faris Elasha United Kingdom 14 481 1.1× 408 1.2× 151 1.0× 88 1.3× 52 1.2× 30 611

Countries citing papers authored by James Xi Gu

Since Specialization
Citations

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

Fields of papers citing papers by James Xi Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Xi Gu. 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 James Xi Gu. The network helps show where James Xi Gu may publish in the future.

Co-authorship network of co-authors of James Xi Gu

This figure shows the co-authorship network connecting the top 25 collaborators of James Xi Gu. A scholar is included among the top collaborators of James Xi Gu 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 James Xi Gu. James Xi Gu 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
2.
Li, Fang, et al.. (2025). Hybrid Dual-Link Data Transmission Based on Internet of Vessels. Sensors. 25(6). 1899–1899.
3.
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 →
5.
Ding, Xiaoxi, et al.. (2022). An Improved Dynamic Modelling for Exploring Ball Bearing Vibrations from Time-varying Oil Film. 93–102. 15 indexed citations
6.
Chen, Bingyan, Dongli Song, Fengshou Gu, et al.. (2022). A full generalization of the Gini index for bearing condition monitoring. Mechanical Systems and Signal Processing. 188. 109998–109998. 31 indexed citations
7.
Gu, James Xi, et al.. (2021). Acoustics Based Monitoring and Diagnostics for the Progressive Deterioration of Helical Gearboxes. Chinese Journal of Mechanical Engineering. 34(1). 20 indexed citations
8.
Gu, James Xi, et al.. (2021). Monitoring and diagnosing the natural deterioration of multi-stage helical gearboxes based on modulation signal bispectrum analysis of vibrations. International Journal of Hydromechatronics. 1(1). 1–1. 3 indexed citations
9.
Xu, Yuandong, Dong Zhen, James Xi Gu, et al.. (2020). Autocorrelated Envelopes for early fault detection of rolling bearings. Mechanical Systems and Signal Processing. 146. 106990–106990. 69 indexed citations
10.
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
11.
12.
Ding, Qian, et al.. (2019). Engine Misfire Diagnosis Based on the Torsional Vibration of the Flexible Coupling in a Diesel Generator Set: Simulation and Experiment. Journal of Vibration Engineering & Technologies. 8(1). 163–178. 20 indexed citations
13.
Li, Yongbo, James Xi Gu, Dong Zhen, Minqiang Xu, & Andrew Ball. (2019). An Evaluation of Gearbox Condition Monitoring Using Infrared Thermal Images Applied with Convolutional Neural Networks. Sensors. 19(9). 2205–2205. 46 indexed citations
14.
Tian, Xiange, et al.. (2017). A robust detector for rolling element bearing condition monitoring based on the modulation signal bispectrum and its performance evaluation against the Kurtogram. Mechanical Systems and Signal Processing. 100. 167–187. 78 indexed citations
15.
Xu, Yuandong, Xiaoli Tang, Fengshou Gu, Andrew D. Ball, & James Xi Gu. (2017). Early detection of rolling bearing faults using an auto-correlated envelope ensemble average. Huddersfield Research Portal (University of Huddersfield). 44. 1–6. 1 indexed citations
16.
Feng, Guojin, et al.. (2015). Implementation of envelope analysis on a wireless condition monitoring system for bearing fault diagnosis. International Journal of Automation and Computing. 12(1). 14–24. 30 indexed citations
17.
Wang, Zhijian, et al.. (2014). A novel procedure for diagnosing multiple faults in rotating machinery. ISA Transactions. 55. 208–218. 53 indexed citations
18.
Feng, Guojin, et al.. (2014). An adaptive envelope analysis in a wireless sensor network for bearing fault diagnosis using fast kurtogram algorithm. University of Huddersfield Repository (University of Huddersfield). 1 indexed citations
19.
Feng, Guojin, et al.. (2013). The real-time implementation of envelope analysis for bearing fault diagnosis based on wireless sensor network. Huddersfield Research Portal (University of Huddersfield). 1–6. 5 indexed citations
20.
Gu, James Xi, et al.. (2010). Investigation of a Rotating Shaft with a Novel Integrated Wireless Accelerometer. Huddersfield Research Portal (University of Huddersfield). 2 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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