Jian‐Fang Wu

3.4k total citations · 1 hit paper
62 papers, 2.9k citations indexed

About

Jian‐Fang Wu is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Jian‐Fang Wu has authored 62 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Electrical and Electronic Engineering, 18 papers in Automotive Engineering and 16 papers in Materials Chemistry. Recurrent topics in Jian‐Fang Wu's work include Advancements in Battery Materials (43 papers), Advanced Battery Materials and Technologies (42 papers) and Advanced Battery Technologies Research (18 papers). Jian‐Fang Wu is often cited by papers focused on Advancements in Battery Materials (43 papers), Advanced Battery Materials and Technologies (42 papers) and Advanced Battery Technologies Research (18 papers). Jian‐Fang Wu collaborates with scholars based in China, Australia and Macao. Jian‐Fang Wu's co-authors include Xin Guo, Lu Wei, Jilei Liu, Wei Kong Pang, Vanessa K. Peterson, Hui Yang, Heming Huang, Jiakun Zhu, Zhuo Li and Chaohe Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nano Letters.

In The Last Decade

Jian‐Fang Wu

59 papers receiving 2.8k citations

Hit Papers

4.2V polymer all-solid-st... 2023 2026 2024 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian‐Fang Wu China 27 2.6k 917 866 329 165 62 2.9k
Jianneng Liang China 37 4.4k 1.7× 1.9k 2.1× 873 1.0× 708 2.2× 101 0.6× 65 4.6k
Moran Balaish Israel 17 2.2k 0.8× 835 0.9× 475 0.5× 203 0.6× 79 0.5× 27 2.4k
Gregory T. Hitz United States 12 4.2k 1.6× 2.1k 2.3× 1.1k 1.2× 362 1.1× 153 0.9× 13 4.4k
Mun Sek Kim United States 24 3.5k 1.3× 1.8k 1.9× 628 0.7× 584 1.8× 110 0.7× 32 3.9k
Yongbiao Mu China 29 2.5k 0.9× 567 0.6× 513 0.6× 696 2.1× 119 0.7× 120 2.9k
Hongbo Ding China 19 1.4k 0.5× 276 0.3× 394 0.5× 510 1.6× 53 0.3× 40 1.6k
Yaoyu Ren China 18 1.5k 0.6× 730 0.8× 517 0.6× 99 0.3× 79 0.5× 43 1.8k
Hermann Tempel Germany 26 1.7k 0.7× 618 0.7× 467 0.5× 417 1.3× 50 0.3× 127 2.2k
Andrea Paolella Canada 23 2.1k 0.8× 951 1.0× 392 0.5× 271 0.8× 66 0.4× 46 2.3k
Jung‐Keun Yoo South Korea 26 2.0k 0.8× 591 0.6× 454 0.5× 829 2.5× 45 0.3× 66 2.4k

Countries citing papers authored by Jian‐Fang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Fang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian‐Fang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Fang Wu. A scholar is included among the top collaborators of Jian‐Fang 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 Jian‐Fang Wu. Jian‐Fang 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.
Xiang, Xing, Zhenzhen Zhao, Huihu Wang, et al.. (2025). Enhancing Ion Transport and Suppressing Electron Conduction: a Hybrid Interlayer for Stable Garnet‐Based Solid‐State Batteries. Advanced Functional Materials. 35(29). 5 indexed citations
2.
Zhou, Wang, Biao Zheng, M. Z. Kufian, et al.. (2025). Oxidation‐Induced Molecular Structural Transformations in Pitches with Different Softening Points Toward High Performance Sodium Storage. Advanced Functional Materials. 35(44). 11 indexed citations
3.
Gao, Chenlong, Qingfeng Fu, Shunqing Wu, et al.. (2025). Fast Potassium‐Ion Conduction in K3LnSi3O9 (Ln = Y and Gd) Enabled by P‐Doping Toward Ultrastable Quasi‐Solid‐State Batteries. Advanced Materials. 37(41). e07380–e07380. 1 indexed citations
4.
Wu, Jian‐Fang, et al.. (2025). High-Rate 4.2 V Solid-State Potassium Batteries by In Situ Polymerized Epoxide Ether Electrolyte. Nano Letters. 25(2). 635–640. 9 indexed citations
7.
Deng, Shiwei, Huilin Zhu, Zixing Wang, et al.. (2024). Synergistically Engineering Grains and Grain Boundaries toward Li Dendrite-Free Li7La3Zr2O12. Nano Letters. 24(32). 9801–9807. 17 indexed citations
8.
Wu, Jian‐Fang, et al.. (2024). Nanometer scale lithium-ion conducting oxides: Li6.1Ga0.3La3Zr2O12 and Li0.3La0.57TiO3. Solid State Ionics. 414. 116635–116635. 1 indexed citations
9.
Wang, Zhou, et al.. (2024). Layered K2Mg2TeO6 Solid Electrolyte Enables Long-Life Solid-State Potassium Batteries. ACS Energy Letters. 9(6). 2626–2632. 14 indexed citations
11.
Wang, Zixing, Jian‐Fang Wu, Wang Zhou, et al.. (2024). Ultrathin K–C Composite Anode Enables Conformal Stripping/Plating for Dendrite-Free and High-Rate Potassium-Metal Batteries. ACS Energy Letters. 9(9). 4534–4543. 17 indexed citations
12.
Zhang, Yilin, Yuqing Chen, Wei Wang, et al.. (2024). Interface engineering strategy via electron-defect trimethyl borate additive toward 4.7 V ultrahigh-nickel LiNi0.9Co0.05Mn0.05O2 battery. Journal of Energy Chemistry. 92. 639–647. 18 indexed citations
13.
Peng, Yufan, Wang Zhou, Zixing Wang, et al.. (2023). Regulating anion chemistry with F-containing bonds enable superior potassium ions storage in hard carbon. Energy storage materials. 62. 102942–102942. 12 indexed citations
14.
Wu, Jian‐Fang, Wang Zhou, Zixing Wang, et al.. (2023). Building K–C Anode with Ultrahigh Self‐Diffusion Coefficient for Solid State Potassium Metal Batteries Operating at −20 to 120 °C. Advanced Materials. 35(16). e2209833–e2209833. 46 indexed citations
15.
Wang, Zixing, Jian‐Fang Wu, Peng Gao, et al.. (2023). Rejuvenating propylene carbonate-based electrolytes by regulating the coordinated structure toward all-climate potassium-ion batteries. Energy & Environmental Science. 17(1). 274–283. 68 indexed citations
16.
Zhou, Xiaoyan, Xiaogang Li, Zhuo Li, et al.. (2022). Ten micrometer thick polyethylene separator modified by α-LiAlO2@γ-Al2O3 nanosheets for simultaneous suppression of Li dendrite growth and polysulfide shuttling in Li-S batteries. Materials Today Energy. 26. 100990–100990. 15 indexed citations
17.
Xiao, Kuikui, Jian‐Fang Wu, Hanghang Yan, et al.. (2022). Intercalation-deposition mechanism induced by aligned carbon fiber toward dendrite-free metallic potassium batteries. Energy storage materials. 51. 122–129. 37 indexed citations
18.
Li, Weize, Rui Zhang, Zhen Chen, et al.. (2021). Microstructure‐Dependent K+ Storage in Porous Hard Carbon. Small. 17(21). e2100397–e2100397. 68 indexed citations
19.
Wu, Jian‐Fang, Rui Zhang, Qingfeng Fu, et al.. (2020). Inorganic Solid Electrolytes for All‐Solid‐State Sodium Batteries: Fundamentals and Strategies for Battery Optimization. Advanced Functional Materials. 31(13). 123 indexed citations
20.
Wang, Qi, Jian‐Fang Wu, Ziheng Lu, et al.. (2019). Solid Electrolytes: A New Lithium‐Ion Conductor LiTaSiO5: Theoretical Prediction, Materials Synthesis, and Ionic Conductivity (Adv. Funct. Mater. 37/2019). Advanced Functional Materials. 29(37). 4 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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