Weiguo Huang

4.5k total citations · 1 hit paper
186 papers, 3.4k citations indexed

About

Weiguo Huang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Weiguo Huang has authored 186 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Control and Systems Engineering, 84 papers in Mechanical Engineering and 31 papers in Mechanics of Materials. Recurrent topics in Weiguo Huang's work include Machine Fault Diagnosis Techniques (110 papers), Gear and Bearing Dynamics Analysis (54 papers) and Fault Detection and Control Systems (38 papers). Weiguo Huang is often cited by papers focused on Machine Fault Diagnosis Techniques (110 papers), Gear and Bearing Dynamics Analysis (54 papers) and Fault Detection and Control Systems (38 papers). Weiguo Huang collaborates with scholars based in China, Canada and United Kingdom. Weiguo Huang's co-authors include Zhongkui Zhu, Changqing Shen, Juanjuan Shi, Jun Wang, Xingxing Jiang, Zhongkui Zhu, Shibin Wang, Chuancang Ding, Ning Li and Rui Wang and has published in prestigious journals such as Journal of Power Sources, Applied Catalysis B: Environmental and Scientific Reports.

In The Last Decade

Weiguo Huang

156 papers receiving 3.3k citations

Hit Papers

Bearing fault diagnosis via generalized logarithm sparse ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiguo Huang China 32 2.6k 1.6k 752 472 461 186 3.4k
Zhongkui Zhu China 39 3.8k 1.5× 2.4k 1.5× 1.2k 1.6× 587 1.2× 561 1.2× 168 4.7k
Zhong Luo China 30 2.5k 1.0× 2.0k 1.3× 867 1.2× 875 1.9× 545 1.2× 231 4.1k
Zhiliang Liu China 28 1.8k 0.7× 1.5k 0.9× 767 1.0× 319 0.7× 332 0.7× 108 2.9k
Minqiang Xu China 36 2.7k 1.0× 2.0k 1.3× 963 1.3× 342 0.7× 441 1.0× 136 4.1k
Xingxing Jiang China 37 3.4k 1.3× 2.1k 1.4× 1.1k 1.4× 626 1.3× 477 1.0× 144 4.5k
Anil Kumar China 32 2.1k 0.8× 1.6k 1.0× 697 0.9× 351 0.7× 378 0.8× 118 3.1k
Qing Zhao Canada 30 2.7k 1.0× 1.2k 0.7× 374 0.5× 307 0.7× 305 0.7× 189 3.8k
Shuilong He China 28 2.3k 0.9× 1.3k 0.8× 679 0.9× 262 0.6× 641 1.4× 84 3.0k
Zhijian Wang China 25 1.7k 0.7× 1.3k 0.8× 544 0.7× 254 0.5× 239 0.5× 108 2.6k
Lingli Cui China 37 3.9k 1.5× 2.6k 1.7× 1.2k 1.6× 492 1.0× 403 0.9× 159 4.8k

Countries citing papers authored by Weiguo Huang

Since Specialization
Citations

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

Fields of papers citing papers by Weiguo Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiguo Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiguo Huang. A scholar is included among the top collaborators of Weiguo Huang 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 Weiguo Huang. Weiguo Huang 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.
Ding, Chuancang, et al.. (2025). Class-aware quantitative adversarial network: a novel partial-set transfer mechanism for cross-domain fault diagnosis of rotating machinery. Knowledge-Based Systems. 328. 114259–114259. 1 indexed citations
2.
Huang, Weiguo, et al.. (2025). Recognition of rolling bearing life status based on GI performance degradation indicator and AGNCN. Measurement. 252. 117323–117323. 2 indexed citations
3.
Shen, Changqing, et al.. (2025). A new lifelong learning method based on dual distillation for bearing diagnosis with incremental fault types. Advanced Engineering Informatics. 65. 103136–103136. 8 indexed citations
4.
Huang, Weiguo, et al.. (2025). Enhanced particle swarm optimization with chaotic search for offshore micro-energy systems. Scientific Reports. 15(1). 1191–1191. 5 indexed citations
5.
Shen, Changqing, et al.. (2025). Dynamic branch layer fusion: A new continual learning method for rotating machinery fault diagnosis. Knowledge-Based Systems. 313. 113177–113177. 8 indexed citations
6.
Jia, Ning, Weiguo Huang, Chuancang Ding, et al.. (2025). Auxiliary-feature-embedded causality-inspired dynamic penalty networks for open-set domain generalization diagnosis scenario. Advanced Engineering Informatics. 65. 103220–103220. 5 indexed citations
7.
Chen, Yuting, Juanjuan Shi, Changqing Shen, et al.. (2025). Time-frequency aware feature disentanglement learning for intelligent bearing fault diagnosis under variable speed conditions. Expert Systems with Applications. 303. 130664–130664.
9.
Zhu, Hongyan, et al.. (2024). Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis. Reliability Engineering & System Safety. 252. 110433–110433. 9 indexed citations
10.
Khan, Muhammad Sheraz, et al.. (2024). Ab initio calculations on magnetic and optical characteristics of pure ZnO and Mn(II)-doped ZnO monolayers with and without neutral charged vacancies defects. Journal of Magnetism and Magnetic Materials. 603. 172227–172227. 2 indexed citations
11.
Wang, Rui, Weiguo Huang, Yixiang Lu, et al.. (2024). Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation. Expert Systems with Applications. 250. 123859–123859. 15 indexed citations
12.
Huang, Weiguo, et al.. (2024). Balance Sparse Decomposition Method with Nonconvex Regularization for Gearbox Fault Diagnosis. Chinese Journal of Mechanical Engineering. 37(1). 2 indexed citations
14.
Zhang, Yan, et al.. (2024). Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments. Advanced Engineering Informatics. 62. 102715–102715. 7 indexed citations
15.
Shen, Changqing, Bojian Chen, Juanjuan Shi, et al.. (2024). A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types. Advanced Engineering Informatics. 61. 102469–102469. 30 indexed citations
16.
Ren, He, Jun Wang, Zhongkui Zhu, Juanjuan Shi, & Weiguo Huang. (2023). Domain fuzzy generalization networks for semi-supervised intelligent fault diagnosis under unseen working conditions. Mechanical Systems and Signal Processing. 200. 110579–110579. 47 indexed citations
17.
Ren, He, Jun Wang, Weiguo Huang, Xingxing Jiang, & Zhongkui Zhu. (2023). Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis. Engineering Applications of Artificial Intelligence. 126. 107117–107117. 31 indexed citations
18.
Khan, Muhammad Sheraz, et al.. (2023). Computational study of electronic, magnetic, and optical properties of Fe(II) mono-doped and (Fe(II), Al) co-doped ZnTe. Journal of Magnetism and Magnetic Materials. 567. 170344–170344. 10 indexed citations
19.
Huang, Weiguo, et al.. (2023). Sparsity-assisted signal decomposition via nonseparable and nonconvex penalty for bearing fault diagnosis. Measurement Science and Technology. 35(4). 46115–46115. 2 indexed citations
20.
Huang, Weiguo, et al.. (2023). Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 9 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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