Jipu Li

3.1k total citations · 4 hit papers
53 papers, 2.4k citations indexed

About

Jipu Li is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Jipu Li has authored 53 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Control and Systems Engineering, 28 papers in Mechanical Engineering and 16 papers in Mechanics of Materials. Recurrent topics in Jipu Li's work include Machine Fault Diagnosis Techniques (35 papers), Fault Detection and Control Systems (16 papers) and Engineering Diagnostics and Reliability (14 papers). Jipu Li is often cited by papers focused on Machine Fault Diagnosis Techniques (35 papers), Fault Detection and Control Systems (16 papers) and Engineering Diagnostics and Reliability (14 papers). Jipu Li collaborates with scholars based in China, Hong Kong and Belgium. Jipu Li's co-authors include Weihua Li, Ruyi Huang, Zhuyun Chen, Yixiao Liao, Guolin He, Konstantinos Gryllias, Junbin Chen, Ruqiang Yan, Zhen Wang and Guanghui Li and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Cybernetics and IEEE Transactions on Industrial Informatics.

In The Last Decade

Jipu Li

50 papers receiving 2.4k 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 perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

2021 605 citations Weihua Li, Ruyi Huang et al. Mechanical Systems and Signal Processing profile →
Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery

2020 236 citations Zhuyun Chen, Guolin He et al. IEEE Transactions on Instrumentation and Measurement profile →
A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery

2022 148 citations Zhuyun Chen, Yixiao Liao et al. IEEE Transactions on Cybernetics profile →
Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network

2023 88 citations Zhuyun Chen, Jingyan Xia et al. Advanced Engineering Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jipu Li China	20	1.9k	1.0k	634	574	174	53	2.4k
Ruyi Huang China	26	2.3k 1.3×	1.3k 1.3×	737 1.2×	750 1.3×	211 1.2×	70	3.2k
Shuilong He China	28	2.3k 1.2×	1.3k 1.3×	641 1.0×	679 1.2×	262 1.5×	84	3.0k
Yixiao Liao China	13	1.5k 0.8×	854 0.8×	419 0.7×	458 0.8×	146 0.8×	19	1.9k
Guolin He China	29	2.1k 1.1×	1.5k 1.5×	457 0.7×	597 1.0×	288 1.7×	47	2.8k
Jinyang Jiao China	23	1.8k 0.9×	1.0k 1.0×	415 0.7×	498 0.9×	219 1.3×	46	2.1k
Yuyan Zhang China	12	1.7k 0.9×	946 0.9×	356 0.6×	559 1.0×	151 0.9×	30	2.3k
Kun Yu China	25	1.6k 0.8×	1.1k 1.1×	290 0.5×	546 1.0×	243 1.4×	83	2.4k
Tongyang Pan China	22	1.4k 0.7×	703 0.7×	432 0.7×	370 0.6×	107 0.6×	49	1.8k
Zong Meng China	28	2.0k 1.1×	1.3k 1.3×	283 0.4×	708 1.2×	224 1.3×	120	2.6k
Yuanhang Chen China	12	2.5k 1.3×	1.9k 1.8×	349 0.6×	990 1.7×	265 1.5×	15	3.2k

Countries citing papers authored by Jipu Li

Since Specialization

Citations

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

Fields of papers citing papers by Jipu Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jipu Li

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

He, Yi, et al.. (2025). Multi-scenario driving style research based on driving behavior pattern extraction. Accident Analysis & Prevention. 214. 107963–107963. 2 indexed citations

Li, Jipu, et al.. (2025). Source-Free Progressive Domain Adaptation Network for Universal Cross-Domain Fault Diagnosis of Industrial Equipment. IEEE Sensors Journal. 25(5). 8067–8078. 2 indexed citations

Li, Weihua, et al.. (2025). Cross-modality domain adaptation for mechanical anomaly detection: A von mises-fisher VAE with enhanced interpretability. Expert Systems with Applications. 290. 128056–128056. 2 indexed citations

Li, Jipu, et al.. (2025). KDN: A class-added continual learning framework for cross-machine fault diagnosis with limited samples. Mechanical Systems and Signal Processing. 227. 112379–112379. 2 indexed citations

Li, Jipu, et al.. (2024). A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples. Reliability Engineering & System Safety. 252. 110429–110429. 10 indexed citations

Lin, Huibin, Ding Li, Jipu Li, et al.. (2024). A novel gearbox local fault feature extraction method based on quality coefficient and dictionary learning. Measurement Science and Technology. 35(6). 65112–65112. 4 indexed citations

Li, Jipu, et al.. (2024). An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery. Expert Systems with Applications. 249. 123836–123836. 18 indexed citations

Xia, Jingyan, Ruyi Huang, Jipu Li, Zhuyun Chen, & Weihua Li. (2024). Digital Twin-Assisted Fault Diagnosis of Rotating Machinery Without Measured Fault Data. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 32 indexed citations

Li, Jipu, et al.. (2024). Source-free Open-set Domain Adaptation Network for Emerging Fault Diagnosis of Planetary Gearbox. 1–6. 1 indexed citations

10.

Huang, Helai, et al.. (2024). Crash-causing information extraction via text-mining techniques: implementation of the Chinese state-related crash narratives. Transportation Safety and Environment. 6(4). 1 indexed citations

11.

Wu, Dan, et al.. (2024). A surrogate model-based approach for adaptive selection of the optimal traffic conflict prediction model. Accident Analysis & Prevention. 207. 107738–107738. 6 indexed citations

12.

Li, Jipu, et al.. (2024). What is a driver-specific road risk point? A customised road risk point identification method based on bus trajectory data. Transportmetrica A Transport Science. 1–27. 1 indexed citations

13.

Chen, Zhuyun, Jingyan Xia, Jipu Li, et al.. (2023). Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network. Advanced Engineering Informatics. 57. 102033–102033. 88 indexed citations breakdown →

14.

Chen, Zhuyun, Qin Wu, Guolin He, et al.. (2023). Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions. IEEE Sensors Journal. 23(15). 17737–17750. 33 indexed citations

15.

Li, Jipu, Ruyi Huang, Zhuyun Chen, et al.. (2023). Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions. Advanced Engineering Informatics. 55. 101883–101883. 64 indexed citations

16.

Chen, Zhuyun, Yixiao Liao, Jipu Li, et al.. (2022). A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery. IEEE Transactions on Cybernetics. 53(3). 1982–1993. 148 indexed citations breakdown →

17.

Liao, Yixiao, Ruyi Huang, Jipu Li, Zhuyun Chen, & Weihua Li. (2021). Correction to: Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis. Chinese Journal of Mechanical Engineering. 34(1). 6 indexed citations

18.

Liao, Yixiao, Ruyi Huang, Jipu Li, Zhuyun Chen, & Weihua Li. (2021). Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis. Chinese Journal of Mechanical Engineering. 34(1). 24 indexed citations

19.

Chen, Zhuyun, Ruyi Huang, Yixiao Liao, et al.. (2021). Simultaneous fault type and severity identification using a two-branch domain adaptation network. Measurement Science and Technology. 32(9). 94014–94014. 12 indexed citations

20.

Chen, Junbin, et al.. (2021). Federated Learning for Bearing Fault Diagnosis with Dynamic Weighted Averaging. 1–6. 16 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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