Chun Wu

4.2k total citations · 3 hit papers
75 papers, 3.6k citations indexed

About

Chun Wu is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Automotive Engineering. According to data from OpenAlex, Chun Wu has authored 75 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Electrical and Electronic Engineering, 48 papers in Electronic, Optical and Magnetic Materials and 12 papers in Automotive Engineering. Recurrent topics in Chun Wu's work include Supercapacitor Materials and Fabrication (48 papers), Advancements in Battery Materials (42 papers) and Advanced battery technologies research (32 papers). Chun Wu is often cited by papers focused on Supercapacitor Materials and Fabrication (48 papers), Advancements in Battery Materials (42 papers) and Advanced battery technologies research (32 papers). Chun Wu collaborates with scholars based in China, Hong Kong and Australia. Chun Wu's co-authors include Kaili Zhang, Ying Zhu, Chuankun Jia, Junjie Cai, Mei Ding, Wei Qin, Xianyou Wang, Qiaobao Zhang, Pei Kang Shen and Jiaye Ye and has published in prestigious journals such as Chemical Society Reviews, Angewandte Chemie International Edition and Advanced Functional Materials.

In The Last Decade

Chun Wu

73 papers receiving 3.6k citations

Hit Papers

Boosting the Development of Hard Carbon for Sodium‐Ion Ba... 2023 2026 2024 2025 2023 2024 2025 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun Wu China 35 3.1k 2.3k 605 567 536 75 3.6k
Shuoqing Zhao China 32 2.9k 0.9× 1.4k 0.6× 803 1.3× 446 0.8× 635 1.2× 56 3.4k
Hanmei Jiang China 41 4.0k 1.3× 2.9k 1.2× 609 1.0× 646 1.1× 545 1.0× 74 4.6k
Pengfei Wang China 31 2.0k 0.6× 1.0k 0.4× 606 1.0× 316 0.6× 389 0.7× 120 2.5k
Rui Zeng China 22 2.3k 0.8× 1.4k 0.6× 592 1.0× 310 0.5× 344 0.6× 40 2.9k
Jiyuan Liang China 36 3.1k 1.0× 1.2k 0.5× 1.1k 1.8× 789 1.4× 945 1.8× 70 4.1k
Jianwei Li China 31 3.9k 1.3× 1.2k 0.5× 662 1.1× 721 1.3× 820 1.5× 56 4.3k
Shiyao Lu China 36 2.3k 0.7× 973 0.4× 828 1.4× 602 1.1× 441 0.8× 78 3.4k
Juan Yang China 26 2.1k 0.7× 1.3k 0.5× 563 0.9× 406 0.7× 416 0.8× 81 2.7k
Xinran Wang China 33 3.9k 1.3× 1.5k 0.6× 653 1.1× 434 0.8× 1.1k 2.1× 94 4.3k
Anthony J. R. Rennie United Kingdom 14 1.8k 0.6× 1.5k 0.6× 386 0.6× 240 0.4× 325 0.6× 20 2.3k

Countries citing papers authored by Chun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Wu. A scholar is included among the top collaborators of Chun Wu 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 Chun Wu. Chun Wu 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.
Xu, Hui, Hong Song, Jin‐Ming Wu, et al.. (2025). Revisiting inactive constituents in sodium-ion batteries: Uncovering hidden drivers of performance. Chinese Chemical Letters. 111605–111605. 1 indexed citations
2.
Xu, Hui, Hong Song, Yinghao Zhang, et al.. (2025). Molecular-level precursor regulation strategy aids fast-charging hard carbon anodes for sodium-ion batteries. Nano Energy. 137. 110824–110824. 43 indexed citations breakdown →
4.
Tan, Xin, Xiaojing Li, Chun Wu, et al.. (2025). Critical Role of Potential‐Driven Charge Effects in Hard Carbon Anodes for Sodium Storage. Angewandte Chemie International Edition. 64(39). e202512830–e202512830. 6 indexed citations
5.
Tan, Xin, Xiaojing Li, Chun Wu, et al.. (2025). Critical Role of Potential‐Driven Charge Effects in Hard Carbon Anodes for Sodium Storage. Angewandte Chemie. 137(39). 1 indexed citations
6.
Li, Chuang‐Chuang, Qinghang Chen, Pandeng Zhao, et al.. (2025). Carbon engineering for sodium batteries: multi-role architectures bridging material design and hybrid system innovation. Chemical Society Reviews. 54(20). 9317–9369. 5 indexed citations
7.
Wu, Chun, Yunrui Yang, Yinghao Zhang, et al.. (2024). Hard carbon for sodium-ion batteries: progress, strategies and future perspective. Chemical Science. 15(17). 6244–6268. 153 indexed citations breakdown →
8.
Wang, Bixia, et al.. (2024). Interfacial regulation of biomass-derived carbon towards high-performance supercapacitor. Journal of Energy Storage. 86. 111301–111301. 65 indexed citations
9.
Guo, Ziyi, et al.. (2024). Structure-modulation of flower-like VS2 via ammonium ion intercalation for high performance potassium-ion batteries. Vacuum. 227. 113393–113393. 4 indexed citations
10.
Qin, Wei, et al.. (2023). One-pot synthesis of boron-doped cobalt oxide nanorod coupled with reduced graphene oxide for sodium ion batteries. Journal of Colloid and Interface Science. 640. 710–718. 14 indexed citations
11.
Wang, Bixia, et al.. (2023). Flexible supercapacitor with manganese-based sulfides electrode for high electrochemical performance. Journal of Energy Storage. 74. 109406–109406. 6 indexed citations
12.
Yang, Yunrui, Chun Wu, Xiang‐Xi He, et al.. (2023). Boosting the Development of Hard Carbon for Sodium‐Ion Batteries: Strategies to Optimize the Initial Coulombic Efficiency. Advanced Functional Materials. 34(5). 234 indexed citations breakdown →
13.
Wang, Bixia, et al.. (2023). Mini-Review on the Regulation of Electrolyte Solvation Structure for Aqueous Zinc Ion Batteries. Batteries. 9(2). 73–73. 10 indexed citations
14.
Chen, Yulian, Juan Yang, Hao Yu, et al.. (2022). Design and Preparation of NiCoMn Ternary Layered Double Hydroxides with a Hollow Dodecahedral Structure for High-Performance Asymmetric Supercapacitors. ACS Applied Energy Materials. 5(6). 6772–6782. 48 indexed citations
15.
16.
Ye, Jiaye, Lu Xia, Chun Wu, et al.. (2019). Redox targeting-based flow batteries. Journal of Physics D Applied Physics. 52(44). 443001–443001. 57 indexed citations
17.
Qin, Wei, Jinliang Li, Xinyue Liu, et al.. (2019). Formation of needle-like porous CoNi2S4-MnOOH for high performance hybrid supercapacitors with high energy density. Journal of Colloid and Interface Science. 554. 125–132. 41 indexed citations
18.
Guo, Chunli, Chun Wu, Jie Li, et al.. (2018). Highly Stable Gully-Network Co3O4 Nanowire Arrays as Battery-Type Electrode for Outstanding Supercapacitor Performance. Frontiers in Chemistry. 6. 636–636. 48 indexed citations
19.
Ye, Jiaye, Xuechun Lou, Chun Wu, et al.. (2018). Ion Selectivity and Stability Enhancement of SPEEK/Lignin Membrane for Vanadium Redox Flow Battery: The Degree of Sulfonation Effect. Frontiers in Chemistry. 6. 549–549. 27 indexed citations
20.
Wu, Chun, Lei Chen, Xuechun Lou, Mei Ding, & Chuankun Jia. (2018). Fabrication of Cobalt-Nickel-Zinc Ternary Oxide Nanosheet and Applications for Supercapacitor Electrode. Frontiers in Chemistry. 6. 597–597. 44 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026