Fang Wan

11.1k total citations · 9 hit papers
95 papers, 9.8k citations indexed

About

Fang Wan is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Polymers and Plastics. According to data from OpenAlex, Fang Wan has authored 95 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Electrical and Electronic Engineering, 37 papers in Electronic, Optical and Magnetic Materials and 13 papers in Polymers and Plastics. Recurrent topics in Fang Wan's work include Advanced Battery Materials and Technologies (44 papers), Advancements in Battery Materials (37 papers) and Advanced battery technologies research (37 papers). Fang Wan is often cited by papers focused on Advanced Battery Materials and Technologies (44 papers), Advancements in Battery Materials (37 papers) and Advanced battery technologies research (37 papers). Fang Wan collaborates with scholars based in China, United States and United Kingdom. Fang Wan's co-authors include Zhiqiang Niu, Jun Chen, Linlin Zhang, Xinyu Wang, Xi Dai, Songshan Bi, Shuo Huang, Xing‐Long Wu, Hongmei Cao and Yong Lü and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Fang Wan

88 papers receiving 9.7k citations

Hit Papers

Aqueous rechargeable zinc/sodium vanadate batteries with ... 2018 2026 2020 2023 2018 2020 2019 2019 2018 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Wan China 41 9.2k 3.6k 1.9k 1.3k 950 95 9.8k
Dipan Kundu Australia 35 12.0k 1.3× 3.5k 1.0× 3.0k 1.6× 1.6k 1.2× 749 0.8× 65 12.4k
Cuiping Han China 56 9.4k 1.0× 4.0k 1.1× 2.1k 1.1× 1.6k 1.2× 1.1k 1.2× 136 10.4k
Dianlong Wang China 50 7.5k 0.8× 3.2k 0.9× 2.0k 1.0× 1.7k 1.3× 581 0.6× 168 8.3k
Hui Duan China 44 5.4k 0.6× 2.9k 0.8× 1.5k 0.8× 1.1k 0.8× 998 1.1× 102 6.3k
Pengxian Han China 45 5.3k 0.6× 3.0k 0.8× 1.2k 0.6× 1.6k 1.2× 537 0.6× 79 6.2k
Jiangxuan Song China 52 9.1k 1.0× 2.7k 0.8× 2.9k 1.5× 1.9k 1.4× 652 0.7× 123 9.8k
Chunhua Han China 41 5.7k 0.6× 3.1k 0.9× 765 0.4× 1.2k 0.9× 1.2k 1.3× 84 6.7k
Vinod Mathew South Korea 47 9.1k 1.0× 4.1k 1.1× 2.0k 1.1× 1.1k 0.8× 755 0.8× 135 9.6k
Alberto Varzi Germany 47 7.2k 0.8× 3.4k 1.0× 1.9k 1.0× 2.1k 1.6× 807 0.8× 105 8.6k
Haimei Liu China 55 6.5k 0.7× 2.8k 0.8× 1.3k 0.7× 2.0k 1.5× 1.3k 1.3× 150 8.1k

Countries citing papers authored by Fang Wan

Since Specialization
Citations

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

Fields of papers citing papers by Fang Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Wan. A scholar is included among the top collaborators of Fang Wan 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 Fang Wan. Fang Wan 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
2.
Wan, Fang, et al.. (2025). Effect of Co-passivation on CsPbI2Br perovskite solar cells with increased photovoltaic efficiency. Organic Electronics. 139. 107198–107198.
3.
Li, Jiaqi, Zhenzhen Wu, Fang Wan, et al.. (2025). Two-dimensional layered Co3O4/CoSe2 heterostructure modified separator for high-capacity and long-cycle lithium-sulfur battery. Journal of Colloid and Interface Science. 690. 137366–137366. 3 indexed citations
4.
Wang, Ruoyang, Yuqing Wu, Qing Yang, et al.. (2024). Unveiling the Oxygen Migration Retarding Effort of Carbon Coating During Disproportionation Enabling High‐ICE and Long‐Cycle‐Life SiO Anodes. Advanced Functional Materials. 35(10). 10 indexed citations
5.
Li, Jiaqi, Xin Wang, Jianhua Chen, et al.. (2023). GO-CoNi alloy promotes internal reaction kinetics of lithium-sulfur batteries to improve long cycle performance at high-rate. Chemical Engineering Journal. 474. 145994–145994. 3 indexed citations
6.
Jacoby, Gady, et al.. (2023). The effect of fraud experience on investment behavior. Emerging Markets Review. 55. 101007–101007. 2 indexed citations
7.
Zhu, Chaoqiong, Lang Qiu, Fang Wan, et al.. (2023). Constructing a robust Li-rich Mn-based oxide cathode with oxygen vacancies and strong B-O bonds by BN treatment. Chemical Engineering Journal. 473. 145402–145402. 15 indexed citations
8.
Hu, Changyan, Ying Li, Dong Wang, et al.. (2023). Improving Low‐temperature Performance and Stability of Na 2 Ti 6 O 13 Anodes by the Ti−O Spring Effect through Nb‐doping. Angewandte Chemie International Edition. 62(46). e202312310–e202312310. 21 indexed citations
9.
Wang, Xinyu, et al.. (2023). A highly reversible Zn anode enabled by organic/inorganic Bi-protective layer. Journal of Electroanalytical Chemistry. 947. 117765–117765. 1 indexed citations
10.
Guan, Ruiqi, Gady Jacoby, Xiaomeng Lu, Fang Wan, & Qi Zhang. (2023). Trauma and investment horizon: Evidence from a representative China equity investor behavior survey. Finance research letters. 57. 104153–104153. 2 indexed citations
11.
Wan, Fang, et al.. (2023). A Road Damage Detection Method Based on Improved YOLOV8s. 1112–1116.
12.
Li, Jiaqi, Fang Wan, Zhenguo Wu, et al.. (2023). GO‐CoNiP New Composite Material Modified Separator for Long Cycle Lithium–Sulfur Batteries. Small. 20(17). e2307912–e2307912. 19 indexed citations
13.
Hu, Changyan, Ying Li, Dong Wang, et al.. (2023). Improving Low‐temperature Performance and Stability of Na 2 Ti 6 O 13 Anodes by the Ti−O Spring Effect through Nb‐doping. Angewandte Chemie. 135(46). 10 indexed citations
14.
Deng, Wen, Fang Wan, Xinxin Peng, et al.. (2022). Super hydrophilic, ultra bubble repellent substrate for pinhole free Dion–Jacobson perovskite solar cells. Applied Physics Letters. 121(23). 9 indexed citations
15.
Pan, Yuan, Haipeng Xie, Fang Wan, et al.. (2020). Triphenylamine–Polystyrene Blends for Perovskite Solar Cells with Simultaneous Energy Loss Suppression and Stability Improvement. Solar RRL. 4(12). 5 indexed citations
16.
Zhang, Qiu, Yilin Ma, Yong Lü, et al.. (2020). Modulating electrolyte structure for ultralow temperature aqueous zinc batteries. Nature Communications. 11(1). 4463–4463. 785 indexed citations breakdown →
17.
Wan, Fang, Lili Ke, Yongbo Yuan, & Liming Ding. (2020). Passivation with crosslinkable diamine yields 0.1 V non-radiative Voc loss in inverted perovskite solar cells. Science Bulletin. 66(5). 417–420. 18 indexed citations
18.
Zhang, Yan, Fang Wan, Shuo Huang, et al.. (2020). A chemically self-charging aqueous zinc-ion battery. Nature Communications. 11(1). 2199–2199. 351 indexed citations breakdown →
19.
Zhang, Linlin, Daobin Liu, Zahir Muhammad, et al.. (2019). Single Nickel Atoms on Nitrogen‐Doped Graphene Enabling Enhanced Kinetics of Lithium–Sulfur Batteries. Advanced Materials. 31(40). e1903955–e1903955. 640 indexed citations breakdown →
20.
Wan, Fang. (2006). Cultivating Better Quality Students by the Process of Production,Learning and Researching Combination. 1 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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