Wangyang Fu

3.0k total citations
69 papers, 2.5k citations indexed

About

Wangyang Fu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Wangyang Fu has authored 69 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 32 papers in Materials Chemistry and 31 papers in Biomedical Engineering. Recurrent topics in Wangyang Fu's work include Graphene research and applications (20 papers), Analytical Chemistry and Sensors (14 papers) and Advanced biosensing and bioanalysis techniques (14 papers). Wangyang Fu is often cited by papers focused on Graphene research and applications (20 papers), Analytical Chemistry and Sensors (14 papers) and Advanced biosensing and bioanalysis techniques (14 papers). Wangyang Fu collaborates with scholars based in China, Switzerland and Netherlands. Wangyang Fu's co-authors include Christian Schönenberger, Michel Calame, Alexey Tarasov, Mathias Wipf, Oren Knopfmacher, Erik P. van Geest, Grégory F. Schneider, Lia M. C. Lima, Lin Jiang and Zhengjun Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Advanced Materials.

In The Last Decade

Wangyang Fu

63 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wangyang Fu China 25 1.2k 1.1k 1.0k 574 395 69 2.5k
Minhee Yun United States 24 1.6k 1.3× 981 0.9× 727 0.7× 425 0.7× 332 0.8× 88 2.6k
Yaping Dan China 21 1.7k 1.4× 1.3k 1.2× 1.4k 1.3× 208 0.4× 84 0.2× 88 2.6k
Yi Tu China 22 1.3k 1.0× 695 0.6× 1.5k 1.4× 286 0.5× 373 0.9× 83 2.8k
Christophe Renault United States 23 1.0k 0.8× 813 0.7× 385 0.4× 325 0.6× 661 1.7× 46 2.3k
Kalayil Manian Manesh South Korea 31 1.4k 1.2× 1.7k 1.5× 467 0.4× 353 0.6× 458 1.2× 42 3.4k
Tao Deng China 26 987 0.8× 1.3k 1.2× 1.0k 1.0× 99 0.2× 127 0.3× 105 2.4k
Rozalina Zakaria Malaysia 26 1.3k 1.0× 863 0.8× 425 0.4× 110 0.2× 223 0.6× 118 2.0k
Chongjun Jin China 24 1.3k 1.0× 1.4k 1.3× 1.2k 1.2× 83 0.1× 247 0.6× 82 2.9k
Thomas Szkopek Canada 29 1.4k 1.2× 1.1k 1.0× 2.2k 2.1× 164 0.3× 103 0.3× 106 3.3k
Steve Semancik United States 27 1.7k 1.4× 1.2k 1.1× 997 1.0× 802 1.4× 137 0.3× 79 2.6k

Countries citing papers authored by Wangyang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Wangyang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wangyang Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Wangyang Fu. A scholar is included among the top collaborators of Wangyang 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 Wangyang Fu. Wangyang 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, Wangyang, et al.. (2025). Experimental strategies to fabricate mechanically exfoliated graphene sub-nanofluidic devices. Carbon. 234. 120005–120005.
2.
Fu, Wangyang, et al.. (2025). Near-Field Mapping and Modulation of Dark Exciton–Plasmon Hybrid States on Planar Open Cavity. ACS Nano. 19(43). 37651–37658.
3.
Chen, Buhang, Erik P. van Geest, Wangyang Fu, et al.. (2025). Substrate‐Tight Graphene Transmembrane‐nanofluidic Devices. Small. e2407140–e2407140.
4.
Zheng, Muyun, Yuchi Wan, Leping Yang, et al.. (2024). In situ construction of Cu(I)-Cu(II) pairs for efficient electrocatalytic nitrate reduction reaction to ammonia. Journal of Energy Chemistry. 100. 106–113. 17 indexed citations
5.
6.
Bi, Xue, Kunpeng Song, Zeqi Zhang, et al.. (2024). Joint Exfoliation of MXene by Dimensional Mismatched SiC/ZIF‐67 Toward Multifunctional Flame Retardant Thermoplastic Polyurethane. Small. 20(43). e2403375–e2403375. 60 indexed citations
7.
Huang, Yujia, Lei Bao, Yi Li, et al.. (2024). Ultrasensitive quantum capacitance detector at the edge of graphene. Materials Today. 73. 38–46. 4 indexed citations
8.
Wang, Qianlong, Lei Bao, Xiaoyan Zhang, et al.. (2024). Duplex-specific-nuclease-assisted graphene field-effect transistor biosensor: A novel platform for preamplification-free detection of cancer related miRNA. Carbon. 230. 119670–119670. 5 indexed citations
9.
Zhao, Xiaofeng, Bohan Shan, Weipeng Wang, et al.. (2024). Cervical cancer screening by biomarker-free Serum-SERS technique: A three-principal-substrate approach. Biosensors and Bioelectronics. 271. 117070–117070. 1 indexed citations
10.
Deng, Yuping, Yuan Ma, Shangbin Liu, et al.. (2023). A Flexible and Biomimetic Olfactory Synapse with Gasotransmitter‐Mediated Plasticity (Adv. Funct. Mater. 18/2023). Advanced Functional Materials. 33(18). 1 indexed citations
11.
Liu, Junjiang, Yanli Wang, Shan Ren, et al.. (2023). Ultrasensitive Biochemical Sensing Platform Enabled by Directly Grown Graphene on Insulator. Small. 20(17). e2305363–e2305363. 3 indexed citations
12.
Gao, Jianwei, et al.. (2023). Radiofrequency sensing systems based on emerging two-dimensional materials and devices. International Journal of Extreme Manufacturing. 5(3). 32010–32010. 12 indexed citations
13.
Zhang, Jingxian, Fan Lv, Zehui Li, et al.. (2021). Cr‐Doped Pd Metallene Endows a Practical Formaldehyde Sensor New Limit and High Selectivity. Advanced Materials. 34(2). e2105276–e2105276. 89 indexed citations
14.
Zhao, Fengtong, Weipeng Wang, Fei Yang, et al.. (2020). Robust quantitative SERS analysis with Relative Raman scattering intensities. Talanta. 221. 121465–121465. 33 indexed citations
15.
Stoop, R., Mathias Wipf, K. Bedner, et al.. (2015). Competing surface reactions limiting the performance of ion-sensitive field-effect transistors. Sensors and Actuators B Chemical. 220. 500–507. 22 indexed citations
16.
Bedner, K., Vitaliy A. Guzenko, Alexey Tarasov, et al.. (2013). pH Response of Silicon Nanowire Sensors: Impact of Nanowire Width and Gate Oxide. Sensors and Materials. 567–567. 29 indexed citations
17.
Fu, Wangyang, Alexey Tarasov, Mathias Wipf, et al.. (2013). High mobility graphene ion-sensitive field-effect transistors by noncovalent functionalization. Nanoscale. 5(24). 12104–12104. 78 indexed citations
18.
Zhang, Xiaoyan, Wangyang Fu, Cornelia G. Palivan, & Wolfgang Meier. (2013). Natural channel protein inserts and functions in a completely artificial, solid-supported bilayer membrane. Scientific Reports. 3(1). 2196–2196. 47 indexed citations
19.
Wipf, Mathias, R. Stoop, Alexey Tarasov, et al.. (2013). Potassium sensing with membrane-coated silicon nanowire field-effect transistors. DORA PSI (Paul Scherrer Institute). 1182–1185. 2 indexed citations
20.
Knopfmacher, Oren, Alexey Tarasov, Mathias Wipf, et al.. (2012). Silicon‐Based Ion‐Sensitive Field‐Effect Transistor Shows Negligible Dependence on Salt Concentration at Constant pH. ChemPhysChem. 13(5). 1157–1160. 18 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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