Changgui Yuan

1.3k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Changgui Yuan is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Changgui Yuan has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Automotive Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Changgui Yuan's work include Advanced Battery Technologies Research (8 papers), Advancements in Battery Materials (6 papers) and Electric Vehicles and Infrastructure (4 papers). Changgui Yuan is often cited by papers focused on Advanced Battery Technologies Research (8 papers), Advancements in Battery Materials (6 papers) and Electric Vehicles and Infrastructure (4 papers). Changgui Yuan collaborates with scholars based in China. Changgui Yuan's co-authors include Zhenpo Wang, Xiaoyu Li, Xiaohui Li, Xiaoyu Li, Jiangtao He, Jiale Xie, Dong Zhen, Hao Li and Feng Wang and has published in prestigious journals such as Journal of Power Sources, Energy and Measurement.

In The Last Decade

Changgui Yuan

8 papers receiving 1.0k 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.

State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression

2019 365 citations Xiaoyu Li, Changgui Yuan et al. Energy profile →

Peers

Changgui Yuan

AE

EEE

CSE

SRRQ

ME

Zhiqiang Lyu China

Xu Guo China

Guangcai Zhao China

Yapeng Zhou China

Chaofeng Pan China

Zhongkai Zhou China

Darius Roman United Kingdom

Xianzhi Gong United States

Zewang Chen China

Zhiqiang Lyu China

Changgui Yuan

605 ×0.6

AE

505 ×0.6

EEE

185 ×0.7

CSE

153 ×0.7

SRRQ

38 ×1.0

ME

Citations per year, relative to Changgui Yuan Changgui Yuan (= 1×) peers Zhiqiang Lyu

Countries citing papers authored by Changgui Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Changgui Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changgui Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Changgui Yuan. A scholar is included among the top collaborators of Changgui Yuan 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 Changgui Yuan. Changgui Yuan 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:

9 of 9 papers shown

1.

Li, Hao, et al.. (2025). Research on Magnetic Field Shielding in Wireless Power Transmission Systems in Air and Seawater. 1551–1557.

2.

Li, Xiaoyu, et al.. (2023). An adaptive threshold method for multi-faults diagnosis of lithium-ion batteries based on electro-thermal model. Measurement. 222. 113671–113671. 12 indexed citations

3.

Li, Xiaoyu, et al.. (2022). Lithium battery state-of-health estimation and remaining useful lifetime prediction based on non-parametric aging model and particle filter algorithm. eTransportation. 11. 100156–100156. 97 indexed citations

4.

Wang, Zhenpo, et al.. (2021). A flexible method for state-of-health estimation of lithium battery energy storage system. Energy Reports. 7. 6375–6383. 9 indexed citations

5.

Li, Xiaoyu, Changgui Yuan, Zhenpo Wang, & Jiale Xie. (2021). A data-fusion framework for lithium battery health condition Estimation Based on differential thermal voltammetry. Energy. 239. 122206–122206. 40 indexed citations

6.

Li, Xiaoyu, Changgui Yuan, & Zhenpo Wang. (2020). Multi-time-scale framework for prognostic health condition of lithium battery using modified Gaussian process regression and nonlinear regression. Journal of Power Sources. 467. 228358–228358. 137 indexed citations

7.

Wang, Zhenpo, Changgui Yuan, & Xiaoyu Li. (2020). Lithium Battery State-of-Health Estimation via Differential Thermal Voltammetry With Gaussian Process Regression. IEEE Transactions on Transportation Electrification. 7(1). 16–25. 145 indexed citations

8.

Li, Xiaoyu, Changgui Yuan, & Zhenpo Wang. (2020). State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression. Energy. 203. 117852–117852. 248 indexed citations

9.

Li, Xiaoyu, Changgui Yuan, Xiaohui Li, & Zhenpo Wang. (2019). State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression. Energy. 190. 116467–116467. 365 indexed citations breakdown →

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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