Guijun Ma

2.5k total citations · 3 hit papers
23 papers, 1.9k citations indexed

About

Guijun Ma is a scholar working on Control and Systems Engineering, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Guijun Ma has authored 23 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 12 papers in Automotive Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Guijun Ma's work include Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (11 papers) and Fault Detection and Control Systems (8 papers). Guijun Ma is often cited by papers focused on Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (11 papers) and Fault Detection and Control Systems (8 papers). Guijun Ma collaborates with scholars based in China, United Kingdom and Luxembourg. Guijun Ma's co-authors include Cheng Cheng, Ye Yuan, Beitong Zhou, Yong Zhang, Zhiwei Xue, Yong Zhang, Han Ding, Dongrui Wu, Songpei Xu and Ming Chi and has published in prestigious journals such as Energy & Environmental Science, Applied Energy and IEEE Access.

In The Last Decade

Guijun Ma

23 papers receiving 1.8k citations

Hit Papers

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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.

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

2019 332 citations Zhiwei Xue, Yong Zhang et al. Neurocomputing profile →
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data

2020 218 citations Cheng Cheng, Beitong Zhou et al. Neurocomputing profile →
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE

2021 180 citations Guijun Ma et al. profile →

Peers

Countries citing papers authored by Guijun Ma

Since Specialization

Citations

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

Fields of papers citing papers by Guijun Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guijun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Guijun Ma. A scholar is included among the top collaborators of Guijun Ma 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 Guijun Ma. Guijun Ma 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	A Novel Pairwise Domain-Adaptation-Assisted Dual-Task Learning Approach to Coprediction of Robotic Machining Efficiency and Quality in New Parameter Spaces 2025 ·IEEE Transactions on Industrial Informatics ·Guijun Ma, Zidong Wang, Zeyuan Yang, Ruijuan Chen, Weibo Liu, Yong Zhang, (unknown)	2
2	Colorimetric/electrochemical dual mode detection ascorbic acid based Au@PdNi nanozyme 2024 ·Microchemical Journal ·(unknown), (unknown), Kai Wang, Guijun Ma, Fengxia Li, Qiang Bai, Yun Liu, Ning Sui	18
3	SDI: A sparse drift identification approach for force/torque sensor calibration in industrial robots 2024 ·Neurocomputing ·(unknown), (unknown), (unknown), Guijun Ma	2
4	An overview of data-driven battery health estimation technology for battery management system 2023 ·Neurocomputing ·(unknown), Guijun Ma, Weibo Liu, Nianyin Zeng, Xin Luo	95
5	ERMN: An enhanced meta-learning approach for state of health estimation of lithium-ion batteries 2023 ·Journal of Energy Storage ·Guijun Ma, (unknown), Songpei Xu, Cheng Cheng, Xin He	5
6	RMDA: A Regressive Multiple-Source Domain Adaption Approach for Early Prediction of Lithium-ion Battery Lifetime 2023 ·Songpei Xu, (unknown), Guijun Ma, Ye Yuan	2
7	Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach 2023 ·IEEE/CAA Journal of Automatica Sinica ·Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan	40
8	A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Guijun Ma, Songpei Xu, Tao Yang, (unknown), Limin Zhu, Han Ding, Ye Yuan	105
9	Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning 2022 ·Energy & Environmental Science ·Guijun Ma, Songpei Xu, Benben Jiang, Cheng Cheng, Xin Yang, Yue Shen, Tao Yang, Yunhui Huang, Han Ding, Ye Yuan	141
10	Data-Driven Discovery of Stochastic Differential Equations 2022 ·Engineering ·(unknown), Huazhen Fang, Junyang Jin, Guijun Ma, (unknown), Xing Dai, (unknown), Cheng Cheng, Hai‐Tao Zhang, (unknown), Dongrui Wu, Ye Yuan, Jorge Gonçalves, Jürgen Kurths, Han Ding	21
11	A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries 2022 ·Knowledge-Based Systems ·Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan	56
12	A FPGA Deployment System Based on Convolutional Neural Network for Rolling Bearing Diagnosis 2021 ·(unknown), Guijun Ma, (unknown), (unknown)	1
13	Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery 2020 ·IEEE Access ·(unknown), Guijun Ma, Cheng Cheng	48
14	A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings 2020 ·IEEE/ASME Transactions on Mechatronics ·Cheng Cheng, Guijun Ma, Yong Zhang, Mingyang Sun, Fei Teng, Han Ding, Ye Yuan	158
15	State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model 2020 ·(unknown), Guijun Ma, Yong Zhang, Cheng Cheng, Beitong Zhou, Ye Yuan	7
16	Remaining Useful Life Prediction of Lithium-ion Battery based on Attention Mechanism with Positional Encoding 2020 ·IOP Conference Series Materials Science and Engineering ·Beitong Zhou, Cheng Cheng, Guijun Ma, Yong Zhang	29
17	Generative Adversarial Network Based Multi-class Imbalanced Fault Diagnosis of Rolling Bearing 2019 ·(unknown), Guijun Ma, Cheng Cheng	4
18	Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression breakdown → 2019 ·Neurocomputing ·Zhiwei Xue, Yong Zhang, Cheng Cheng, Guijun Ma	332
19	A general end-to-end diagnosis framework for manufacturing systems 2019 ·National Science Review ·Ye Yuan, Guijun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai‐Tao Zhang, Han Ding	126
20	Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network 2019 ·Applied Energy ·Guijun Ma, Yong Zhang, Cheng Cheng, Beitong Zhou, (unknown), Ye Yuan	275

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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