Sheng Fu

3.0k citations
53 papers · 2.4k · 1 hit paper · h-index 29

Impact in

Papers in

Sheng Fu

51 papers receiving 2.4k citations

Sheng Fu's Hit Papers

Homogenizing SAM deposition via seeding –OH groups for scalable fabrication of perovskite solar cells 2025 · 34 citations
340Years since publication102030

Peers

Sheng Fu
Comparison fields: 5 of 49
  • Polymers and Plastics 1.1k
  • Electrical and Electronic Engineering 2.1k
  • Materials Chemistry 988
  • Cognitive Neuroscience 144
  • Cellular and Molecular Neuroscience 121
Replace Babak Taheri with:
Babak Taheri Italy
Mi Jang South Korea
Jingon Jang South Korea
Ghada I. Koleilat Canada
Richard Hahnkee Kim South Korea
Insung Bae South Korea
Sein Chung South Korea
Cunyun Xu China
Shuaipeng Ge China
Ji-Young Oh South Korea
Sheng Fu relative to Babak Taheri Italy Babak Taheri's profile →
Citations per field
00.5×3.3×
Babak Taheri · 1×
Citations per year

Countries citing papers authored by Sheng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sheng Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sheng Fu Line = papers co-authored together Sheng Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019186
2 2017179
3 2018171
4 2020152
5 2020135
6 202298
7 202092
8 202384
9 201984
10 202182
11 202075
12 202173
13 202073
14 201973
15 201965
16 202465
17 202152
18 201947
19 202345
20 202343

About Sheng Fu

Sheng Fu is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (44 papers), Conducting polymers and applications (25 papers), Chalcogenide Semiconductor Thin Films (19 papers), Quantum Dots Synthesis And Properties (14 papers), Organic Electronics and Photovoltaics (6 papers), Organic Light-Emitting Diodes Research (5 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Electrical and Electronic Engineering (2.1k citations), Materials Chemistry (988 citations), Cognitive Neuroscience (144 citations) and Cellular and Molecular Neuroscience (121 citations). Sheng Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Junfeng Fang, Wenxiao Zhang, Weijie Song, Li Wan, Xiaodong Li, Xiaodong Li, Yulei Wu, Nannan Sun, Lijun Chen and Zhaoning Song. Their work appears in journals such as Journal of Materials Chemistry A, ACS Energy Letters, ACS Applied Materials & Interfaces, Advanced Functional Materials and Joule.

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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