Zengbing Xu

404 total citations
19 papers, 319 citations indexed

About

Zengbing Xu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Zengbing Xu has authored 19 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 13 papers in Mechanical Engineering and 3 papers in Mechanics of Materials. Recurrent topics in Zengbing Xu's work include Machine Fault Diagnosis Techniques (16 papers), Gear and Bearing Dynamics Analysis (13 papers) and Fault Detection and Control Systems (12 papers). Zengbing Xu is often cited by papers focused on Machine Fault Diagnosis Techniques (16 papers), Gear and Bearing Dynamics Analysis (13 papers) and Fault Detection and Control Systems (12 papers). Zengbing Xu collaborates with scholars based in China, Hong Kong and Greece. Zengbing Xu's co-authors include Jianping Xuan, Zhigang Wang, Tielin Shi, Youmin Hu, Bo Wu, Zhigang Wang, Zhigang Wang, You‐Rong Li, Min Jin and Xudong Zhao and has published in prestigious journals such as Expert Systems with Applications, Sensors and Neurocomputing.

In The Last Decade

Zengbing Xu

18 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zengbing Xu China	10	244	153	73	58	28	19	319
Zhilin Dong China	9	310 1.3×	172 1.1×	87 1.2×	39 0.7×	16 0.6×	18	378
Shuting Wan China	10	299 1.2×	191 1.2×	106 1.5×	50 0.9×	8 0.3×	27	370
Yadong Lu United States	4	300 1.2×	152 1.0×	89 1.2×	50 0.9×	35 1.3×	8	385
Teodor Marcu Romania	10	306 1.3×	88 0.6×	34 0.5×	100 1.7×	5 0.2×	20	356
Mihiar Ayoubi Germany	10	258 1.1×	97 0.6×	34 0.5×	94 1.6×	6 0.2×	21	328
Chuanfang Zhang China	10	170 0.7×	85 0.6×	12 0.2×	38 0.7×	44 1.6×	33	249
Faisel J. Uppal United Kingdom	10	271 1.1×	71 0.5×	32 0.4×	81 1.4×	3 0.1×	12	316
Matheus Araújo Marins Brazil	4	102 0.4×	38 0.2×	29 0.4×	53 0.9×	12 0.4×	5	196
Lamiaa M. Elshenawy Egypt	10	240 1.0×	121 0.8×	9 0.1×	63 1.1×	9 0.3×	15	304
Junbo Tan China	12	359 1.5×	44 0.3×	22 0.3×	42 0.7×	15 0.5×	36	391

Countries citing papers authored by Zengbing Xu

Since Specialization

Citations

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

Fields of papers citing papers by Zengbing Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zengbing Xu

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

All Works

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19 of 19 papers shown

Xu, Zengbing, et al.. (2025). A novel fault diagnosis method based on deep stable learning for bearings with imbalanced data samples. Expert Systems with Applications. 281. 127634–127634. 6 indexed citations

Xu, Zengbing, et al.. (2025). A weighted DJP-MMD based deep transfer metric learning for the fault diagnosis of bearing under variable working conditions. Frontiers of Mechanical Engineering. 20(2). 3 indexed citations

Xu, Zengbing, et al.. (2023). A Multi-Information Fusion ViT Model and Its Application to the Fault Diagnosis of Bearing with Small Data Samples. Machines. 11(2). 277–277. 21 indexed citations

Xu, Zengbing, et al.. (2022). A Novel Fault Diagnosis Method of Rolling Bearing Based on Integrated Vision Transformer Model. Sensors. 22(10). 3878–3878. 65 indexed citations

Xu, Zengbing, C.K.M. Lee, Yaqiong Lv, & Jeffrey Chan. (2022). Ensemble Capsule Network with an Attention Mechanism for the Fault Diagnosis of Bearings from Imbalanced Data Samples. Sensors. 22(15). 5543–5543. 10 indexed citations

Xu, Zengbing, et al.. (2022). A Novel Attentional Feature Fusion with Inception Based on Capsule Network and Application to the Fault Diagnosis of Bearing with Small Data Samples. Machines. 10(9). 789–789. 9 indexed citations

Xu, Zengbing, et al.. (2021). Reliable Fault Diagnosis of Rolling Bearing Based on Ensemble Modified Deep Metric Learning. Shock and Vibration. 2021(1). 7 indexed citations

Xu, Zengbing, et al.. (2021). Fault Diagnosis of Rolling Bearing Based on Modified Deep Metric Learning Method. Shock and Vibration. 2021(1). 4 indexed citations

Wan, Xiaojin, Licheng Liu, Zengbing Xu, et al.. (2018). Fault diagnosis of rolling bearing based on optimized soft competitive learning Fuzzy ART and similarity evaluation technique. Advanced Engineering Informatics. 38. 91–100. 18 indexed citations

10.

Wan, Xiaojin, Licheng Liu, Zengbing Xu, & Zhigang Xu. (2018). Gearbox Fault Diagnosis Based on Selective Integrated Soft Competitive Learning Fuzzy Adaptive Resonance Theory. Journal of Computing and Information Science in Engineering. 19(1). 7 indexed citations

11.

Yang, Dan, Hailin Mu, Zengbing Xu, et al.. (2017). Based on Soft Competition ART Neural Network Ensemble and Its Application to the Fault Diagnosis of Bearing. Mathematical Problems in Engineering. 2017(1). 5 indexed citations

12.

Wang, Jiaqing, Han Xiao, Yong Lv, Tao Wang, & Zengbing Xu. (2016). Detrended Fluctuation Analysis and Hough Transform Based Self-Adaptation Double-Scale Feature Extraction of Gear Vibration Signals. Shock and Vibration. 2016. 1–9. 11 indexed citations

13.

Xu, Zengbing, Youyong Li, Zhigang Wang, & Jianping Xuan. (2016). A Novel Clustering Method Combining ART with Yu’s Norm for Fault Diagnosis of Bearings. Shock and Vibration. 2016. 1–10. 8 indexed citations

14.

Xu, Zengbing, You‐Rong Li, Zhigang Wang, & Jianping Xuan. (2015). A selective fuzzy ARTMAP ensemble and its application to the fault diagnosis of rolling element bearing. Neurocomputing. 182. 25–35. 28 indexed citations

15.

Jin, Min, et al.. (2014). Reliable fault diagnosis method using ensemble fuzzy ARTMAP based on improved Bayesian belief method. Neurocomputing. 133. 309–316. 20 indexed citations

16.

Jin, Min, et al.. (2013). Fuzzy ARTMAP Ensemble Based Decision Making and Application. Mathematical Problems in Engineering. 2013. 1–7. 5 indexed citations

17.

Xu, Zengbing, Jianping Xuan, Tielin Shi, Bo Wu, & Youmin Hu. (2009). A novel fault diagnosis method of bearing based on improved fuzzy ARTMAP and modified distance discriminant technique. Expert Systems with Applications. 36(9). 11801–11807. 44 indexed citations

18.

Xu, Zengbing, et al.. (2009). Application of a modified fuzzy ARTMAP with feature-weight learning for the fault diagnosis of bearing. Expert Systems with Applications. 36(6). 9961–9968. 48 indexed citations

19.

Xu, Zengbing. (2004). APPLICATION OF THE EQUIPMENT BASED ON B/S MODEL IN THE REMOTE ON-LINE MONITORING AND FAULT DIAGNOSIS SYSTEM.

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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