Jun Fu

2.7k total citations · 1 hit paper
66 papers, 2.3k citations indexed

About

Jun Fu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Jun Fu has authored 66 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Materials Chemistry, 15 papers in Electrical and Electronic Engineering and 14 papers in Biomedical Engineering. Recurrent topics in Jun Fu's work include Block Copolymer Self-Assembly (15 papers), 2D Materials and Applications (13 papers) and Advanced Polymer Synthesis and Characterization (9 papers). Jun Fu is often cited by papers focused on Block Copolymer Self-Assembly (15 papers), 2D Materials and Applications (13 papers) and Advanced Polymer Synthesis and Characterization (9 papers). Jun Fu collaborates with scholars based in China, Germany and Australia. Jun Fu's co-authors include Jun Lin, Yue Han, Haijun Zhang, Shu Wang, Zengfu Wang, Yu Ma, Hualing Zeng, Mingxia Yu, Yang Cong and Yanchun Han and has published in prestigious journals such as Advanced Materials, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Jun Fu

62 papers receiving 2.3k citations

Hit Papers

Fabrication, Patterning, and Optical Properties of Nanocr... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Fu China 23 1.7k 814 364 301 242 66 2.3k
Shin‐Pon Ju Taiwan 26 1.5k 0.9× 495 0.6× 493 1.4× 225 0.7× 196 0.8× 212 2.5k
Werner A. Goedel Germany 27 1.5k 0.8× 567 0.7× 557 1.5× 206 0.7× 577 2.4× 96 2.3k
Zhiqiang Wang China 29 1.7k 0.9× 711 0.9× 720 2.0× 491 1.6× 550 2.3× 80 2.9k
T. S. Perova Ireland 27 1.4k 0.8× 1.5k 1.9× 674 1.9× 461 1.5× 177 0.7× 199 2.9k
Jia Min Chin Austria 25 917 0.5× 365 0.4× 318 0.9× 190 0.6× 352 1.5× 69 1.9k
Shamima Hussain India 26 2.0k 1.1× 1000 1.2× 504 1.4× 588 2.0× 143 0.6× 192 2.9k
In‐Tae Bae United States 25 1.2k 0.7× 1.5k 1.8× 294 0.8× 569 1.9× 158 0.7× 78 2.7k
Ganapathiraman Ramanath United States 24 1.6k 0.9× 739 0.9× 561 1.5× 312 1.0× 170 0.7× 38 2.1k
Nicholas Blanchard France 17 571 0.3× 413 0.5× 303 0.8× 178 0.6× 108 0.4× 62 1.1k
Katsumi Tanigaki Japan 15 1.6k 0.9× 912 1.1× 603 1.7× 508 1.7× 283 1.2× 30 3.0k

Countries citing papers authored by Jun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Fu. A scholar is included among the top collaborators of Jun Fu 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 Jun Fu. Jun Fu 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.
Fu, Jun, et al.. (2026). Optical Imaging of the Interlayer Sliding in Two-Dimensional 1T′-ReS 2. Nano Letters. 26(4). 1288–1295.
2.
Li, Zeyu, Jun Fu, Jingjing Wang, et al.. (2025). Tuning the Electronic Structure in the MoS2/SrTiO3 Heterojunction via Phase Evolution of the SrTiO3 Substrate. ACS Nano. 19(37). 33534–33543. 1 indexed citations
3.
Wu, Jun, Jun Fu, Yong Zhang, et al.. (2025). Understanding the Impact of Grafted Chain Length in Polymer Electrolytes with Nonlinear Architectures. Macromolecules. 59(1). 476–485.
5.
Fu, Jun, et al.. (2025). Effect of fatty acid chain length on the structure and digestibility of high-amylose starch-fatty acid and high-amylose starch-fatty acid-whey protein isolate complexes. International Journal of Biological Macromolecules. 308(Pt 2). 142616–142616. 1 indexed citations
6.
Duan, Qingfei, Fang Xie, Jun Fu, et al.. (2025). Impact of soy protein isolate addition on corn starch during gelatinization: exploring the mechanism behind physicochemical property changes. Journal of the Science of Food and Agriculture. 105(10). 5388–5401.
8.
Zhang, Xiaodong, Chenxi Huang, Jun Fu, et al.. (2024). Reliable wafer-scale integration of two-dimensional materials and metal electrodes with van der Waals contacts. Nature Communications. 15(1). 4619–4619. 25 indexed citations
9.
Fu, Jun, et al.. (2024). Atomic Step-Promoted Growth and Interfacial Coupling in MoS2/TMO Heterostructures. The Journal of Physical Chemistry C. 128(41). 17596–17605. 3 indexed citations
10.
Li, Wei, et al.. (2024). Gate-Tunable Interlayer Antiferroelectricity in 2H α-In2Se3. ACS Applied Electronic Materials. 6(12). 8725–8730. 2 indexed citations
11.
Liu, Heng, et al.. (2024). Reversible flexoelectric domain engineering at the nanoscale in van der Waals ferroelectrics. Nature Communications. 15(1). 4556–4556. 20 indexed citations
12.
Lu, Qinwen, Xunyong Lei, Jun Fu, et al.. (2023). Magnetic proximity effect in ultrathin freestanding WS2/LaMnO3 van der Waals heterostructures. AIP Advances. 13(5). 1 indexed citations
13.
Fu, Jun, et al.. (2023). Direct Growth of Monolayer WS2 on Rutile TiO2 for Enhanced Valley Coherence. The Journal of Physical Chemistry C. 127(15). 7425–7432. 4 indexed citations
14.
Chen, Chen, Heng Liu, Xiaoyu Mao, et al.. (2022). Large-Scale Domain Engineering in Two-Dimensional Ferroelectric CuInP 2 S 6 via Giant Flexoelectric Effect. Nano Letters. 22(8). 3275–3282. 85 indexed citations
15.
Wang, Xiaolong, Rui Zeng, Wei Tang, et al.. (2019). A quencher-free DNAzyme beacon for fluorescently sensing uranyl ions via embedding 2-aminopurine. Biosensors and Bioelectronics. 135. 166–172. 24 indexed citations
16.
Fu, Jun, Jiuhui Qu, Ruiping Liu, et al.. (2009). Cu(II)-catalyzed THM formation during water chlorination and monochloramination: A comparison study. Journal of Hazardous Materials. 170(1). 58–65. 38 indexed citations
17.
Xue, Longjian, Jian Li, Jun Fu, & Yanchun Han. (2008). Super-hydrophobicity of silica nanoparticles modified with vinyl groups. Colloids and Surfaces A Physicochemical and Engineering Aspects. 338(1-3). 15–19. 63 indexed citations
18.
Fu, Jun, Yang Cong, Jian Li, et al.. (2004). Hole Nucleation and Growth Induced by Crystallization and Microphase Separation of Thin Semicrystalline Diblock Copolymer Films. Macromolecules. 37(18). 6918–6925. 15 indexed citations
19.
Lin, Jun, et al.. (2003). Patterning and optical properties rhodamine B-doped organic–inorganic silica films fabricated by sol–gel soft lithography. Materials Letters. 57(7). 1355–1360. 35 indexed citations
20.
Luo, Chunxia, Rubo Xing, Zexin Zhang, Jun Fu, & Yanchun Han. (2003). Ordered droplet formation by thin polymer film dewetting on a stripe-patterned substrate. Journal of Colloid and Interface Science. 269(1). 158–163. 50 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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