Kui Hu

1.3k total citations · 1 hit paper
58 papers, 968 citations indexed

About

Kui Hu is a scholar working on Control and Systems Engineering, Algebra and Number Theory and Geometry and Topology. According to data from OpenAlex, Kui Hu has authored 58 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 16 papers in Algebra and Number Theory and 13 papers in Geometry and Topology. Recurrent topics in Kui Hu's work include Algebraic structures and combinatorial models (13 papers), Machine Fault Diagnosis Techniques (13 papers) and Commutative Algebra and Its Applications (13 papers). Kui Hu is often cited by papers focused on Algebraic structures and combinatorial models (13 papers), Machine Fault Diagnosis Techniques (13 papers) and Commutative Algebra and Its Applications (13 papers). Kui Hu collaborates with scholars based in China, South Korea and Hong Kong. Kui Hu's co-authors include Jun Wu, Yiwei Cheng, Haiping Zhu, Xinyu Shao, Yuanhang Wang, Chao Deng, Fanggui Wang, Zuoyi Chen, Yanzhi Wang and Zhike Peng and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and IEEE Access.

In The Last Decade

Kui Hu

44 papers receiving 930 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.

Data-driven remaining useful life prediction via multiple sensor signals and deep long short-term memory neural network

2019 269 citations Jun Wu, Kui Hu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kui Hu China	13	607	343	172	163	77	58	968
Haizhou Chen China	13	721 1.2×	653 1.9×	242 1.4×	93 0.6×	106 1.4×	38	1.1k
Guangqi Qiu China	16	515 0.8×	458 1.3×	274 1.6×	84 0.5×	80 1.0×	41	975
Yuning Qian China	8	447 0.7×	277 0.8×	132 0.8×	162 1.0×	39 0.5×	16	676
Yan Han China	12	455 0.7×	270 0.8×	137 0.8×	52 0.3×	89 1.2×	31	822
Lijie Zhang China	15	546 0.9×	273 0.8×	174 1.0×	54 0.3×	81 1.1×	76	848
Yongjian Sun China	15	412 0.7×	342 1.0×	165 1.0×	25 0.2×	54 0.7×	64	737
Shaojiang Dong China	17	808 1.3×	543 1.6×	277 1.6×	94 0.6×	104 1.4×	46	1.1k
Yehu Shen China	18	502 0.8×	305 0.9×	177 1.0×	47 0.3×	135 1.8×	62	926
Yuanhong Chang China	14	659 1.1×	323 0.9×	146 0.8×	152 0.9×	177 2.3×	21	940
Jin Chen China	14	428 0.7×	285 0.8×	126 0.7×	33 0.2×	34 0.4×	69	846

Countries citing papers authored by Kui Hu

Since Specialization

Citations

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

Fields of papers citing papers by Kui Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kui Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Kui Hu. A scholar is included among the top collaborators of Kui Hu 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 Kui Hu. Kui Hu 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

1.

Hu, Kui, et al.. (2025). Identification of rice leaf disease based on DepMulti-Net. Frontiers in Plant Science. 16. 1522487–1522487.

2.

Hu, Kui, et al.. (2025). An interpretable deep feature aggregation framework for machinery incremental fault diagnosis. Advanced Engineering Informatics. 65. 103189–103189. 7 indexed citations

3.

Hu, Kui, Qingbo He, Hao Xu, Changming Cheng, & Zhike Peng. (2025). Dynamic domain adaptive ensemble for intelligent fault diagnosis of machinery. Knowledge-Based Systems. 314. 113209–113209. 1 indexed citations

4.

Hu, Kui, Jiwen Zhang, & Dan Wu. (2024). Learning from demonstration for 7-DOF anthropomorphic manipulators without offset via analytical inverse kinematics. Neurocomputing. 598. 128036–128036.

5.

Hu, Kui, et al.. (2024). A feature extension and reconstruction method with incremental learning capabilities under limited samples for intelligent diagnosis. Advanced Engineering Informatics. 62. 102796–102796. 7 indexed citations

6.

Hu, Kui, Yiwei Cheng, Jun Wu, & Haiping Zhu. (2024). Cross-domain intelligent diagnostics for rotating machinery using domain adaptive and adversarial networks. Journal of Industrial Information Integration. 42. 100722–100722. 7 indexed citations

7.

Hu, Kui, Qingbo He, Changming Cheng, & Zhike Peng. (2023). Adaptive incremental diagnosis model for intelligent fault diagnosis with dynamic weight correction. Reliability Engineering & System Safety. 241. 109705–109705. 29 indexed citations

8.

He, Jiaming, et al.. (2023). Theoretical model of water vapor absorption–desorption equilibrium of concrete considering the effect of temperature. Construction and Building Materials. 375. 130968–130968. 4 indexed citations

9.

Hu, Kui, et al.. (2023). Rice pest identification based on multi-scale double-branch GAN-ResNet. Frontiers in Plant Science. 14. 1167121–1167121. 19 indexed citations

10.

Hu, Kui, et al.. (2023). Rapid detection of imperfect wheat grains based on deep learning technique. 821–828. 2 indexed citations

11.

Liu, Yongmin, et al.. (2023). Recent advances in plant disease severity assessment using convolutional neural networks. Scientific Reports. 13(1). 2336–2336. 50 indexed citations

12.

Hu, Kui & Qingbo He. (2022). A New Incremental Training Framework Based on Dynamic Weight Allocation for Intelligent Fault Diagnosis. 1–6. 1 indexed citations

13.

Cheng, Yiwei, Kui Hu, Jun Wu, Haiping Zhu, & Xinyu Shao. (2021). Autoencoder Quasi-Recurrent Neural Networks for Remaining Useful Life Prediction of Engineering Systems. IEEE/ASME Transactions on Mechatronics. 27(2). 1081–1092. 58 indexed citations

14.

Hu, Kui, Yiwei Cheng, Jun Wu, Haiping Zhu, & Xinyu Shao. (2021). Deep Bidirectional Recurrent Neural Networks Ensemble for Remaining Useful Life Prediction of Aircraft Engine. IEEE Transactions on Cybernetics. 53(4). 2531–2543. 62 indexed citations

15.

Hu, Kui, et al.. (2020). Inverse kinematic optimization for 7-DoF serial manipulators with joint limits. Journal of Tsinghua University(Science and Technology). 60(12). 1007–1015. 4 indexed citations

16.

Cheng, Yiwei, Haiping Zhu, Kui Hu, et al.. (2019). Reliability prediction of machinery with multiple degradation characteristics using double-Wiener process and Monte Carlo algorithm. Mechanical Systems and Signal Processing. 134. 106333–106333. 50 indexed citations

17.

Wang, Yixin, Kui Hu, & Wenzeng Zhang. (2019). Design of A Novel Robot Finger with Changeable Surface for In-hand Manipulations of Co-fusion Robots. 1235–1239. 1 indexed citations

18.

Hu, Kui, et al.. (2019). On strongly Gorenstein hereditary rings. Bulletin of the Korean Mathematical Society. 56(2). 373–382. 2 indexed citations

19.

Hu, Kui. (2013). Copure Projective Modules and CPH Rings. Journal of Sichuan Normal University.

20.

Hu, Kui. (2007). COMPENSATION MECHANISM FOR MINERAL RESOURCES DEVELOPMENT AND REFORM OF MINING RIGHTS APPRAISEMENT SYSTEM. Resources and Industries.

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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