Jiyang Fu

1.2k citations
44 papers · 901 · h-index 18

Impact in

  • Neurology top 5%
    • Barrier Structure and Function Studies
    • Bacterial Infections and Vaccines

Papers in

Jiyang Fu

43 papers receiving 890 citations

Peers

Jiyang Fu
Comparison fields: 5 of 111
  • Neurology 126
  • Microbiology 77
  • Cancer Research 142
  • Civil and Structural Engineering 209
  • Endocrinology 43
Replace Martin Fusek with:
Martin Fusek Czechia
Yoshikazu Ohara Japan
Zhengzhi Li United States
Ling Yin China
Tsuyoshi Matsuo Japan
Chun‐Cheih Chao Taiwan
Xisheng Li China
Xueyou Hu China
Noriaki Yoshida Japan
Vincenzo Vullo Italy
Jiyang Fu relative to Martin Fusek Czechia Martin Fusek's profile →
Citations per field
00.5×7.4×
Martin Fusek · 1×
Citations per year

Countries citing papers authored by Jiyang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jiyang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201996
2 202280
3 202268
4 201654
5 201945
6 201645
7 202136
8 202234
9 201830
10 201629
11 201828
12 202127
13 202025
14 202124
15 202119
16 202319
17 201918
18 201618
19 202017
20 202016

About Jiyang Fu

Jiyang Fu is a scholar working on Molecular Biology, Civil and Structural Engineering, Cancer Research, Neurology and Mechanical Engineering, having authored 44 papers that have together received 901 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Barrier Structure and Function Studies (7 papers), RNA modifications and cancer (6 papers), Energy Harvesting in Wireless Networks (5 papers), Infrastructure Maintenance and Monitoring (5 papers), Innovative Energy Harvesting Technologies (5 papers), MicroRNA in disease regulation (5 papers) and Concrete Corrosion and Durability (4 papers). The work is most often cited by research in Neurology (126 citations), Microbiology (77 citations), Cancer Research (142 citations), Civil and Structural Engineering (209 citations) and Endocrinology (43 citations). Jiyang Fu has collaborated with scholars based in China, Australia and Botswana. Frequent co-authors include Huanchun Chen, Airong Liu, Ruicheng Yang, Chen Tan, Xiangru Wang, Bojie Xu, Yonghui Huang, Zhicheng Yang, Di Wu and Ching‐Tai Ng. Their work appears in journals such as Engineering Structures, Journal of Neuroinflammation, Molecular Neurobiology, Pathogens and Measurement.

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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