Ying Fu

4.1k citations
79 papers · 3.2k indexed · 1 hit paper · h-index 35

Impact in

Papers in

Ying Fu

74 papers receiving 3.2k citations

Hit Papers

Functionalized Organic Thin Film Transistors for Biosensing 2019 · 306 citations
3062019202620212023100200300

Peers

Ying Fu
Comparison fields: 5 of 127
  • Bioengineering 396
  • Polymers and Plastics 916
  • Cellular and Molecular Neuroscience 469
  • Electrochemistry 150
  • Electrical and Electronic Engineering 1.3k
Replace Carmen Bartic with:
Carmen Bartic Belgium
Fwu‐Shan Sheu Singapore
Carlo Augusto Bortolotti Italy
Concepción Parrado Spain
Jan Halámek United States
Sungbo Cho South Korea
Qing Li China
Pandiaraj Manickam India
Chengwu Zhang China
Moo Yeol Lee South Korea
Ying Fu relative to Carmen Bartic Belgium Carmen Bartic's profile →
Citations per field
00.5×2.9×
Carmen Bartic · 1×
Citations per year

Countries citing papers authored by Ying Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ying 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 Ying Fu Line = papers co-authored together Ying Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20258
2 20252
3 20252
4 20250
5 20250
6 20241
7 202410
8 20236
9 202334
10 202343
11 202211
12 20220
13 201868
14 201867
15 201755
16
Abstract 17430: Abnormal Excitation-contraction Coupling Gain in Heart Failure With Preserved Ejection Fraction (HFPEF) Can be Rescued by Cardiosphere-derived Stem Cells
20161
17 201531
18 201363
19 201153
20 201115

About Ying Fu

Ying Fu is a scholar working on Bioengineering, Polymers and Plastics, Electrochemistry, General Dentistry and Molecular Biology, having authored 79 papers that have together received 3.2k indexed citations. Recurring topics across this work include Conducting polymers and applications (18 papers), Advanced biosensing and bioanalysis techniques (14 papers), Analytical Chemistry and Sensors (12 papers), Electrochemical sensors and biosensors (10 papers), Cardiac electrophysiology and arrhythmias (9 papers), Advanced Memory and Neural Computing (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Bioengineering (396 citations), Polymers and Plastics (916 citations), Cellular and Molecular Neuroscience (469 citations), Electrochemistry (150 citations) and Electrical and Electronic Engineering (1.3k citations). Ying Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feng Yan, Naixiang Wang, Anneng Yang, Yuanzhe Li, Jia Sun, Li Li, Juxiang Wang, Yongli Gao, Todd Scheuer and William A. Catterall. Their work appears in journals such as ACS Applied Materials & Interfaces, Analytical Chemistry, Biosensors and Bioelectronics, Bioorganic & Medicinal Chemistry Letters and Advanced Materials.

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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