Guodong Fan

1.2k total citations
47 papers, 890 citations indexed

About

Guodong Fan is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Guodong Fan has authored 47 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Automotive Engineering, 39 papers in Electrical and Electronic Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Guodong Fan's work include Advanced Battery Technologies Research (41 papers), Advancements in Battery Materials (32 papers) and Advanced Battery Materials and Technologies (20 papers). Guodong Fan is often cited by papers focused on Advanced Battery Technologies Research (41 papers), Advancements in Battery Materials (32 papers) and Advanced Battery Materials and Technologies (20 papers). Guodong Fan collaborates with scholars based in China, United States and Australia. Guodong Fan's co-authors include Marcello Canova, Xi Zhang, Xiaoyu Li, Ke Pan, Gregory L. Plett, Giorgio Rizzoni, Chunbo Zhu, Ruigang Zhang, James Marcicki and Dongliang Lü and has published in prestigious journals such as Journal of Power Sources, Journal of The Electrochemical Society and Applied Energy.

In The Last Decade

Guodong Fan

41 papers receiving 853 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guodong Fan China 17 834 745 137 44 34 47 890
M. Scott Trimboli United States 16 843 1.0× 771 1.0× 154 1.1× 43 1.0× 27 0.8× 49 926
Yao He China 13 729 0.9× 686 0.9× 194 1.4× 30 0.7× 18 0.5× 31 806
Mohammad Charkhgard Iran 6 793 1.0× 718 1.0× 238 1.7× 41 0.9× 16 0.5× 7 837
Renxin Xiao China 16 849 1.0× 741 1.0× 244 1.8× 101 2.3× 51 1.5× 44 955
Weiping Diao United States 13 699 0.8× 656 0.9× 118 0.9× 119 2.7× 32 0.9× 18 763
Zizhou Lao China 9 552 0.7× 489 0.7× 197 1.4× 26 0.6× 17 0.5× 10 605
Boyang Liu China 10 719 0.9× 651 0.9× 165 1.2× 105 2.4× 18 0.5× 16 803
Zhongqiang Mu China 4 396 0.5× 332 0.4× 100 0.7× 93 2.1× 20 0.6× 8 459
Ashish Khandelwal India 9 389 0.5× 402 0.5× 124 0.9× 76 1.7× 31 0.9× 14 495

Countries citing papers authored by Guodong Fan

Since Specialization
Citations

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

Fields of papers citing papers by Guodong Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guodong Fan

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

All Works

20 of 20 papers shown
1.
2.
Yang, Tianqi, Xiaofei Ye, Yi Tang, et al.. (2025). Proton donor-acceptor dual-function imidazole cores enable high-performance branched high-temperature proton exchange membranes. Journal of Membrane Science. 741. 125042–125042.
3.
Fan, Guodong, et al.. (2025). FSCMF: A Dual-Branch Frequency-Spatial Joint Perception Cross-Modality Network for visible and infrared image fusion. Neurocomputing. 641. 130376–130376. 2 indexed citations
4.
5.
Fan, Guodong, et al.. (2024). Characterization of cathode degradation and development of a coupled electrochemical-aging model for sulfide-based all-solid-state batteries. Journal of Power Sources. 627. 235830–235830. 2 indexed citations
6.
Zhu, Chong, et al.. (2024). Fast and Energy-Efficient Compound Self-Heating of Automotive Batteries Based on Electrochemical-Thermal-Stress Aging Model. IEEE Transactions on Transportation Electrification. 11(1). 476–485.
7.
Fan, Guodong, et al.. (2024). Battery capacity estimation based on a co-learning framework with few-labeled and noisy data. Journal of Power Sources. 600. 234263–234263. 14 indexed citations
8.
Fan, Guodong, et al.. (2024). Interactive fusion of local and global degradation representations for rapid estimation of lithium-ion battery state-of-health. Journal of Energy Storage. 90. 111832–111832. 6 indexed citations
9.
Fan, Guodong, et al.. (2024). Unveiling the secrets behind physics-based modeling of lithium-ion battery degradation and its key applications. Journal of Energy Storage. 102. 114086–114086. 6 indexed citations
10.
Fan, Guodong, Yansong Wang, Boru Zhou, et al.. (2023). The impact of intermittent overcharging on battery capacity and reliability: Electrochemical performance analysis and failure prediction. Journal of Power Sources. 591. 233800–233800. 15 indexed citations
11.
Fan, Guodong, Dongliang Lü, M. Scott Trimboli, et al.. (2023). Nondestructive diagnostics and quantification of battery aging under different degradation paths. Journal of Power Sources. 557. 232555–232555. 26 indexed citations
12.
Liu, Yi‐Sheng, et al.. (2023). Rapid and flexible battery capacity estimation using random short-time charging segments based on residual convolutional networks. Applied Energy. 351. 121925–121925. 12 indexed citations
13.
Lü, Dongliang, M. Scott Trimboli, Guodong Fan, Yujun Wang, & Gregory L. Plett. (2022). Nondestructive EIS Testing to Estimate a Subset of Physics-based-model Parameter Values for Lithium-ion Cells. Journal of The Electrochemical Society. 169(8). 80504–80504. 10 indexed citations
14.
Gao, Yizhao, Gregory L. Plett, Guodong Fan, & Xi Zhang. (2022). Enhanced state-of-charge estimation of LiFePO4 batteries using an augmented physics-based model. Journal of Power Sources. 544. 231889–231889. 41 indexed citations
15.
Lü, Dongliang, M. Scott Trimboli, Guodong Fan, Ruigang Zhang, & Gregory L. Plett. (2021). Implementation of a Physics-Based Model for Half-Cell Open-Circuit Potential and Full-Cell Open-Circuit Voltage Estimates: Part I. Processing Half-Cell Data. Journal of The Electrochemical Society. 168(7). 70532–70532. 37 indexed citations
16.
Lü, Dongliang, M. Scott Trimboli, Guodong Fan, Ruigang Zhang, & Gregory L. Plett. (2021). Nondestructive Pulse Testing to Estimate a Subset of Physics-Based-Model Parameter Values for Lithium-Ion Cells. Journal of The Electrochemical Society. 168(8). 80533–80533. 16 indexed citations
17.
Lü, Dongliang, M. Scott Trimboli, Guodong Fan, Ruigang Zhang, & Gregory L. Plett. (2021). Implementation of a Physics-Based Model for Half-Cell Open-Circuit Potential and Full-Cell Open-Circuit Voltage Estimates: Part II. Processing Full-Cell Data. Journal of The Electrochemical Society. 168(7). 70533–70533. 21 indexed citations
18.
Fan, Guodong. (2016). Model Order Reduction of Multi-Dimensional Partial Differential Equations for Electrochemical-Thermal Modeling of Large-Format Lithium-ion Batteries. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations
19.
Shen, Mao, et al.. (2016). 有機汚染物質の劣化に対して高度に効果的な多孔質TiO2被覆Ag@Fe3O4@C‐Auミクロスフェア. Journal of Nanoparticle Research. 18(12). 11. 1 indexed citations
20.
Li, Xiaoyu, Guodong Fan, Giorgio Rizzoni, et al.. (2016). A simplified multi-particle model for lithium ion batteries via a predictor-corrector strategy and quasi-linearization. Energy. 116. 154–169. 45 indexed citations

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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