Hongkai Jiang

9.9k total citations · 17 hit papers
132 papers, 8.0k citations indexed

About

Hongkai Jiang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Hongkai Jiang has authored 132 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Control and Systems Engineering, 77 papers in Mechanical Engineering and 46 papers in Mechanics of Materials. Recurrent topics in Hongkai Jiang's work include Machine Fault Diagnosis Techniques (121 papers), Gear and Bearing Dynamics Analysis (69 papers) and Fault Detection and Control Systems (51 papers). Hongkai Jiang is often cited by papers focused on Machine Fault Diagnosis Techniques (121 papers), Gear and Bearing Dynamics Analysis (69 papers) and Fault Detection and Control Systems (51 papers). Hongkai Jiang collaborates with scholars based in China, United States and Sweden. Hongkai Jiang's co-authors include Haidong Shao, Xingqiu Li, Zhenghong Wu, Fuan Wang, Ke Zhao, Maogui Niu, Tianchen Liang, Shaowei Liu, Haizhou Zhang and Ruixin Wang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Hongkai Jiang

125 papers receiving 7.7k citations

Hit Papers

5 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 novel deep autoencoder feature learning method for rotating machinery fault diagnosis

2017 548 citations Haidong Shao, Hongkai Jiang et al. Mechanical Systems and Signal Processing profile →
Rolling bearing fault diagnosis using an optimization deep belief network

2015 430 citations Haidong Shao, Hongkai Jiang et al. Measurement Science and Technology profile →
Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network

2017 420 citations Haidong Shao, Hongkai Jiang et al. profile →
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders

2017 390 citations Haidong Shao, Hongkai Jiang et al. Mechanical Systems and Signal Processing profile →
Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing

2017 326 citations Haidong Shao, Hongkai Jiang et al. Mechanical Systems and Signal Processing profile →
Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine

2017 270 citations Haidong Shao, Hongkai Jiang et al. profile →
An enhancement deep feature fusion method for rotating machinery fault diagnosis

2016 256 citations Haidong Shao, Hongkai Jiang et al. profile →
Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet

2017 247 citations Haidong Shao, Hongkai Jiang et al. profile →
An adaptive deep transfer learning method for bearing fault diagnosis

2019 239 citations Zhenghong Wu, Hongkai Jiang et al. profile →
Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis

2021 180 citations Shaowei Liu, Hongkai Jiang et al. Mechanical Systems and Signal Processing profile →
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis

2021 171 citations Hongkai Jiang et al. profile →
Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine

2021 146 citations Haidong Shao, Hongkai Jiang et al. profile →
Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis

2023 123 citations Xin Wang, Hongkai Jiang et al. Advanced Engineering Informatics profile →
A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis

2024 66 citations Xin Wang, Hongkai Jiang et al. Reliability Engineering & System Safety profile →
A trackable multi-domain collaborative generative adversarial network for rotating machinery fault diagnosis

2024 55 citations Xin Wang, Hongkai Jiang et al. Mechanical Systems and Signal Processing profile →
Counterfactual-augmented few-shot contrastive learning for machinery intelligent fault diagnosis with limited samples

2024 55 citations Yunpeng Liu, Hongkai Jiang et al. Mechanical Systems and Signal Processing profile →
Dynamic normalization supervised contrastive network with multiscale compound attention mechanism for gearbox imbalanced fault diagnosis

2024 50 citations Yutong Dong, Hongkai Jiang et al. Engineering Applications of Artificial Intelligence profile →

Peers

Countries citing papers authored by Hongkai Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Hongkai Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongkai Jiang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Dynamic weighted adversarial domain adaptation network with sparse representation denoising module for rotating machinery fault diagnosis 2025 ·Engineering Applications of Artificial Intelligence ·Maogui Niu, Hongkai Jiang, Haidong Shao	8
2	A convolutional-transformer reinforcement learning agent for rotating machinery fault diagnosis 2025 ·Expert Systems with Applications ·(unknown), Hongkai Jiang, Yutong Dong	6
3	An adaptive fused domain-cycling variational generative adversarial network for machine fault diagnosis under data scarcity 2025 ·Information Fusion ·Xin Wang, Hongkai Jiang, (unknown), Yutong Dong	10
4	Fault signature extraction of rolling bearings under variable speed via time–frequency overlap group sparse representation 2024 ·Mechanical Systems and Signal Processing ·Chunlin Zhang, Zhe Meng, Yanfeng Wang, Zhaohui Yang, Hongkai Jiang, Bing Li	10
5	Deep discriminative sparse representation learning for machinery fault diagnosis 2024 ·Engineering Applications of Artificial Intelligence ·Renhe Yao, Hongkai Jiang, (unknown), Yunpeng Liu, Yutong Dong	6
6	A novel reinforcement learning agent for rotating machinery fault diagnosis with data augmentation 2024 ·Reliability Engineering & System Safety ·(unknown), Hongkai Jiang, Xin Wang	21
7	A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples 2024 ·Advanced Engineering Informatics ·(unknown), Hongkai Jiang, Xin Wang, Yutong Dong	22
8	Dynamic normalization supervised contrastive network with multiscale compound attention mechanism for gearbox imbalanced fault diagnosis breakdown → 2024 ·Engineering Applications of Artificial Intelligence ·Yutong Dong, Hongkai Jiang, Wenxin Jiang, (unknown)	50
9	An adaptive feature mode decomposition-guided phase space feature extraction method for rolling bearing fault diagnosis 2024 ·Measurement Science and Technology ·(unknown), Hongkai Jiang, (unknown), (unknown)	3
10	Deep Sparse Representation Classification for Aeroengine Inter-shaft Bearing Fault Diagnosis 2024 ·Renhe Yao, Hongkai Jiang, Yunpeng Liu, Xin Wang, Haidong Shao, Wenxin Jiang	2
11	An enhanced meta-learning network with sensitivity penalty for cross-domain few-shot fault diagnosis 2024 ·Measurement Science and Technology ·(unknown), Hongkai Jiang, (unknown), Yutong Dong, (unknown)	0
12	A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data 2023 ·Engineering Applications of Artificial Intelligence ·Xin Wang, Hongkai Jiang, Yunpeng Liu, Shaowei Liu, Qiao Yang	14
13	Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis 2023 ·Reliability Engineering & System Safety ·Yutong Dong, Hongkai Jiang, Zhenghong Wu, Qiao Yang, Yunpeng Liu	68
14	A knowledge dynamic matching unit-guided multi-source domain adaptation network with attention mechanism for rolling bearing fault diagnosis 2023 ·Mechanical Systems and Signal Processing ·Zhenghong Wu, Hongkai Jiang, (unknown), Xin Wang	61
15	Conditional distribution-guided adversarial transfer learning network with multi-source domains for rolling bearing fault diagnosis 2023 ·Advanced Engineering Informatics ·Zhenghong Wu, Hongkai Jiang, Shaowei Liu, Yunpeng Liu, (unknown)	39
16	Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning 2023 ·Reliability Engineering & System Safety ·Yutong Dong, Hongkai Jiang, Renhe Yao, (unknown), Qiao Yang	45
17	Rolling bearing incipient fault feature extraction using impulse-enhanced sparse time-frequency representation 2023 ·Measurement Science and Technology ·(unknown), Hongkai Jiang, Renhe Yao, Qiao Yang	4
18	A reinforcement neural architecture search convolutional neural network for rolling bearing fault diagnosis 2023 ·Measurement Science and Technology ·(unknown), Hongkai Jiang, Ruixin Wang, Qiao Yang	4
19	Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds 2021 ·Structural Health Monitoring ·Xin Li, Haidong Shao, Hongkai Jiang, Jiawei Xiang	73
20	An optimal variational mode decomposition for rolling bearing fault feature extraction 2019 ·Measurement Science and Technology ·Dongdong Wei, Hongkai Jiang, Haidong Shao, Xingqiu Li, Ying Lin	45

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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