Te Han

5.7k total citations · 11 hit papers
90 papers, 4.4k citations indexed

About

Te Han is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Te Han has authored 90 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Control and Systems Engineering, 28 papers in Mechanical Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Te Han's work include Machine Fault Diagnosis Techniques (50 papers), Fault Detection and Control Systems (34 papers) and Gear and Bearing Dynamics Analysis (11 papers). Te Han is often cited by papers focused on Machine Fault Diagnosis Techniques (50 papers), Fault Detection and Control Systems (34 papers) and Gear and Bearing Dynamics Analysis (11 papers). Te Han collaborates with scholars based in China, Hong Kong and United States. Te Han's co-authors include Dongxiang Jiang, Wenguang Yang, Yan‐Fu Li, Chao Liu, Chao Liu, Huixing Meng, Taotao Zhou, Jiachi Yao, Chao Liu and Min Qian and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Power Sources and Applied Energy.

In The Last Decade

Te Han

83 papers receiving 4.3k 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.

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

2019 468 citations Te Han, Dongxiang Jiang et al. profile →
A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

2018 402 citations Te Han, Dongxiang Jiang et al. Knowledge-Based Systems profile →
Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery

2017 267 citations Te Han, Dongxiang Jiang et al. profile →
A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions

2021 209 citations Te Han et al. profile →
Deep transfer learning with limited data for machinery fault diagnosis

2021 196 citations Te Han, Dongxiang Jiang et al. profile →
Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles

2022 182 citations Te Han et al. Reliability Engineering & System Safety profile →
Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis

2023 178 citations Huixing Meng, Te Han et al. Reliability Engineering & System Safety profile →
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework

2022 172 citations Te Han et al. Reliability Engineering & System Safety profile →
Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer

2023 155 citations Haidong Shao, Te Han et al. profile →
Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data

2023 148 citations Jiachi Yao, Te Han Energy profile →
Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine

2023 145 citations Te Han, Zhongyi Pei et al. Information Sciences profile →

Peers

Countries citing papers authored by Te Han

Since Specialization

Citations

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

Fields of papers citing papers by Te Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Te Han

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

#	Work	Indexed citations
1	Data-driven distributionally robust optimization of low-carbon data center energy systems considering multi-task response and renewable energy uncertainty 2025 ·Journal of Building Engineering ·Juntao Han, (unknown), Te Han, Yongzhen Wang, Yibo Han, Jiayu Lin	6
2	Designing and regulating clean energy data centres 2025 ·Te Han, Yongzhen Wang, Zhifu Mi, (unknown), Jinpeng Tian, Yi‐Ming Wei	3
3	Adaptive multi-domain capacity estimation for battery energy storage system based on multi-scale random sequence feature fusion 2025 ·Energy ·Zuolu Wang, (unknown), Te Han, Yanzheng Zhu, Fengshou Gu, Andrew D. Ball	2
4	Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems 2024 ·Energy ·Yuantao Yao, Te Han, Jie Yu, Min Xie	40
5	CBAM-CRLSGAN: A novel fault diagnosis method for planetary transmission systems under small samples scenarios 2024 ·Measurement ·Jie Zhang, Yun Kong, Zhuyun Chen, Te Han, Qinkai Han, Mingming Dong, Fulei Chu	20
6	Towards more reliable photovoltaic energy conversion systems: A weakly-supervised learning perspective on anomaly detection 2024 ·Energy Conversion and Management ·(unknown), (unknown), Te Han, Yiming Wei	40
7	Prognostics and health management of photovoltaic systems based on deep learning: A state-of-the-art review and future perspectives 2024 ·Renewable and Sustainable Energy Reviews ·(unknown), Te Han	15
8	Exploiting domain knowledge to reduce data requirements for battery health monitoring 2024 ·Energy storage materials ·Jinpeng Tian, Liang Ma, Tieling Zhang, Te Han, Weijie Mai, C. Y. Chung	32
9	Semi-supervised adversarial deep learning for capacity estimation of battery energy storage systems 2024 ·Energy ·Jiachi Yao, (unknown), Te Han, (unknown)	50
10	Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems 2024 ·Ruonan Liu, (unknown), Te Han, Boyuan Yang, Weidong Zhang, Shen Yin, Donghua Zhou	8
11	A Meta-Learning Method for Few-Shot Multidomain State-of-Health Estimation of Lithium-Ion Batteries 2024 ·IEEE Transactions on Transportation Electrification ·(unknown), Zuolu Wang, Te Han, Wenxian Yang, Fengshou Gu, Andrew D. Ball	6
12	Out-of-Distribution Fault Diagnosis of Industrial Cyber-Physical Systems Based on Orthogonal Anchor Clustering With Adaptive Balance 2024 ·Ruonan Liu, (unknown), Shuqiang Zhao, Zhijian Sun, Te Han, Zhibo Pang, Weidong Zhang	2
13	Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine breakdown → 2023 ·Information Sciences ·Te Han, (unknown), Zhongyi Pei	145
14	A unified out-of-distribution detection framework for trustworthy prognostics and health management in renewable energy systems 2023 ·Engineering Applications of Artificial Intelligence ·(unknown), Te Han, Zhongyi Pei, Min Xie	49
15	Attention-aware temporal–spatial graph neural network with multi-sensor information fusion for fault diagnosis 2023 ·Knowledge-Based Systems ·Zhe Wang, Zhiying Wu, Xingqiu Li, Haidong Shao, Te Han, Min Xie	64
16	Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data breakdown → 2023 ·Energy ·Jiachi Yao, Te Han	148
17	Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis breakdown → 2023 ·Reliability Engineering & System Safety ·Huixing Meng, (unknown), Te Han	178
18	Health Monitoring of Plate Structures Based on Tomography With Combination of Guided Wave Transmission and Reflection 2022 ·IEEE Sensors Journal ·Zhe Wang, Te Han, Shen Wang, (unknown), Wei Zhao, Songling Huang	6
19	End-to-end capacity estimation of Lithium-ion batteries with an enhanced long short-term memory network considering domain adaptation 2021 ·Journal of Power Sources ·Te Han, Zhe Wang, Huixing Meng	106
20	Dynamic characteristics of rotor system and rub-impact fault feature research based on casing acceleration 2016 ·Journal of Vibroengineering ·(unknown), Dongxiang Jiang, Te Han	16

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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