Guan Wu

7.5k total citations · 1 hit paper
113 papers, 6.7k citations indexed

About

Guan Wu is a scholar working on Electronic, Optical and Magnetic Materials, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Guan Wu has authored 113 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Electronic, Optical and Magnetic Materials, 54 papers in Biomedical Engineering and 54 papers in Materials Chemistry. Recurrent topics in Guan Wu's work include Supercapacitor Materials and Fabrication (63 papers), Advanced Sensor and Energy Harvesting Materials (47 papers) and MXene and MAX Phase Materials (31 papers). Guan Wu is often cited by papers focused on Supercapacitor Materials and Fabrication (63 papers), Advanced Sensor and Energy Harvesting Materials (47 papers) and MXene and MAX Phase Materials (31 papers). Guan Wu collaborates with scholars based in China, Hong Kong and United Kingdom. Guan Wu's co-authors include Wei Chen, Su Chen, Jinghai Liu, Yuewei Zhang, Ying Hu, Xingjiang Wu, Hengyang Cheng, Ningzhong Bao, Cai‐Feng Wang and Xiaolin Zhu and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Guan Wu

105 papers receiving 6.6k citations

Hit Papers

Porous graphitic carbon nitride synthesized via direct po... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guan Wu China 45 2.8k 2.8k 2.6k 2.2k 1.5k 113 6.7k
Tianpeng Ding China 38 3.1k 1.1× 1.3k 0.5× 2.3k 0.9× 1.4k 0.6× 3.7k 2.5× 57 7.6k
Rouhollah Jalili Australia 41 2.4k 0.9× 2.6k 0.9× 2.0k 0.8× 1.6k 0.7× 1.6k 1.1× 84 6.4k
Yuanyuan Shang China 48 2.7k 1.0× 2.4k 0.9× 3.1k 1.2× 2.7k 1.2× 950 0.6× 177 7.1k
Sisi He China 42 2.4k 0.8× 2.2k 0.8× 3.4k 1.3× 1.4k 0.6× 1.3k 0.9× 111 6.5k
Wenxi Guo China 45 4.7k 1.7× 2.6k 1.0× 3.0k 1.1× 1.6k 0.7× 1.7k 1.2× 111 8.2k
Jianbo Tang Australia 37 2.3k 0.8× 1.8k 0.6× 2.0k 0.8× 558 0.2× 644 0.4× 135 4.8k
Xinyu Xue China 58 4.3k 1.5× 3.2k 1.1× 5.6k 2.1× 2.4k 1.1× 1.5k 1.0× 160 9.3k
Xiaoli Zhao China 38 1.9k 0.7× 2.7k 1.0× 3.3k 1.3× 2.7k 1.2× 415 0.3× 133 6.5k
Zheng Zhang China 60 3.7k 1.3× 5.0k 1.8× 5.0k 1.9× 1.3k 0.6× 2.5k 1.7× 160 10.3k
Dorna Esrafilzadeh Australia 27 2.3k 0.8× 1.8k 0.7× 1.5k 0.6× 952 0.4× 376 0.3× 50 4.3k

Countries citing papers authored by Guan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guan Wu. A scholar is included among the top collaborators of Guan 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 Guan Wu. Guan 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.
Jia, Xiaoli, Yongzhe Zhang, Guangjun Liu, et al.. (2025). Supermolecule engineering and ion-dipole modulation towards -40 °C-resilient and biocompatible fiber-based supercapacitors. Energy storage materials. 84. 104770–104770.
3.
Zhang, Yu, et al.. (2025). Biomimetic, antibiofouling graphdiyne-Ti3C2Tx MXene fiber fabrics for high-performance osmotic energy conversion. Journal of Membrane Science. 724. 123977–123977. 1 indexed citations
4.
Liu, Yunchuan, Yongzhe Zhang, Chao Yang, et al.. (2025). A Hierarchical Multimetal Oxides@Graphene Fabric Electrode with High Energy Density and Robust Cycling Performance for Flexible Supercapacitors. Nano Letters. 25(11). 4485–4493. 7 indexed citations
7.
Zhu, Xiaolin, Hui Qiu, Yang Zhang, et al.. (2024). Publisher Correction: Vertical-Aligned and Ordered-Active Architecture of Heterostructured Fibers for High Electrochemical Capacitance. Advanced Fiber Materials. 6(6). 1992–1992.
8.
Zheng, Yun, Yang Zhang, Zengming Man, et al.. (2024). Electrochemical Exfoliation and Growth of Nickel–Cobalt Layered Double Hydroxides@Black Phosphorus Hetero‐Nanostructure Textiles for Robust Foldable Supercapacitors. Advanced Functional Materials. 34(39). 34 indexed citations
9.
Zhu, Xiaolin, Hui Qiu, Yang Zhang, et al.. (2024). Vertical-Aligned and Ordered-Active Architecture of Heterostructured Fibers for High Electrochemical Capacitance. Advanced Fiber Materials. 6(1). 312–328. 27 indexed citations
10.
Zhang, Yang, et al.. (2023). Interface‐Anchored Covalent Organic Frameworks@Amino‐Modified Ti3C2Tx MXene on Nylon 6 Film for High‐Performance Deformable Supercapacitors. Angewandte Chemie International Edition. 62(33). 41 indexed citations
11.
Zhu, Xiaolin, Yang Zhang, Zengming Man, et al.. (2023). Microfluidic‐Assembled Covalent Organic Frameworks@Ti3C2Tx MXene Vertical Fibers for High‐Performance Electrochemical Supercapacitors. Advanced Materials. 35(46). e2307186–e2307186. 59 indexed citations
12.
Zheng, Yun, Zengming Man, Yang Zhang, et al.. (2023). High-Performance Stretchable Supercapacitors Based on Centrifugal Electrospinning-Directed Hetero-structured Graphene–Polyaniline Hierarchical Fabric. Advanced Fiber Materials. 5(5). 1759–1772. 51 indexed citations
13.
Wu, Tianyu, Xingjiang Wu, Ziyi Yu, et al.. (2021). A Covalent Black Phosphorus/Metal–Organic Framework Hetero‐nanostructure for High‐Performance Flexible Supercapacitors. Angewandte Chemie. 133(18). 10454–10462. 13 indexed citations
14.
Qiu, Hui, Hengyang Cheng, Jinku Meng, Guan Wu, & Su Chen. (2020). Magnetothermal Microfluidic‐Assisted Hierarchical Microfibers for Ultrahigh‐Energy‐Density Supercapacitors. Angewandte Chemie International Edition. 59(20). 7934–7943. 75 indexed citations
15.
Du, Xiang‐Yun, Cai‐Feng Wang, Guan Wu, & Su Chen. (2020). The Rapid and Large‐Scale Production of Carbon Quantum Dots and their Integration with Polymers. Angewandte Chemie. 133(16). 8668–8678. 9 indexed citations
16.
Cheng, Hengyang, Jinku Meng, Guan Wu, & Su Chen. (2019). Hierarchical Micro‐Mesoporous Carbon‐Framework‐Based Hybrid Nanofibres for High‐Density Capacitive Energy Storage. Angewandte Chemie. 131(48). 17626–17634. 13 indexed citations
17.
Li, Qing, Zhi Xu, Xiang‐Yun Du, et al.. (2018). Microfluidic-Directed Hydrogel Fabrics Based on Interfibrillar Self-Healing Effects. Chemistry of Materials. 30(24). 8822–8828. 51 indexed citations
18.
Wu, Xingjiang, Yijun Xu, Ying Hu, et al.. (2018). Microfluidic-spinning construction of black-phosphorus-hybrid microfibres for non-woven fabrics toward a high energy density flexible supercapacitor. Nature Communications. 9(1). 4573–4573. 211 indexed citations
19.
Xu, Bin, et al.. (2018). Microfluidic‐Spinning‐Directed Conductive Fibers toward Flexible Micro‐Supercapacitors. Macromolecular Materials and Engineering. 303(6). 45 indexed citations
20.
Zhang, Yawen, et al.. (2017). Multicolored Mixed-Organic-Cation Perovskite Quantum Dots (FAxMA1–xPbX3, X = Br and I) for White Light-Emitting Diodes. Industrial & Engineering Chemistry Research. 56(36). 10053–10059. 36 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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