Yangyang Fu

2.6k citations
112 papers · 1.9k · 1 hit paper · h-index 23

Impact in

Papers in

Yangyang Fu

95 papers receiving 1.9k citations

Yangyang Fu's Hit Papers

A review of machine learning in building load prediction 2021 · 451 citations
4510+1+3Years since publication100200300400

Peers

Yangyang Fu
Comparison fields: 5 of 131
  • Radiology, Nuclear Medicine and Imaging 536
  • Building and Construction 330
  • Electrical and Electronic Engineering 1.4k
  • Atomic and Molecular Physics, and Optics 342
  • Environmental Engineering 143
Replace Qiao Wang with:
Qiao Wang China
N. H. Malik Saudi Arabia
Li-Ming Ruan China
Ching‐Ming Lai Taiwan
Yanan Wang China
Katja Schladitz Germany
Ya-Tao Ren China
José Páscoa Portugal
Yangyang Fu relative to Qiao Wang China Qiao Wang's profile →
Citations per field
00.5×10×13.4×
Qiao Wang · 1×
Citations per year

Countries citing papers authored by Yangyang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yangyang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of machine learning in building load prediction
Hit paper breakdown →
2021451
2 2020105
3 201582
4 202055
5 201555
6 201543
7 202339
8 201938
9 201837
10 201835
11 202235
12 202034
13 201834
14 201832
15 202132
16 201731
17 200329
18 201628
19 202027
20 202026

About Yangyang Fu

Yangyang Fu is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics, Mechanics of Materials and Materials Chemistry, having authored 112 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plasma Diagnostics and Applications (78 papers), Plasma Applications and Diagnostics (43 papers), Electrohydrodynamics and Fluid Dynamics (28 papers), Dust and Plasma Wave Phenomena (19 papers), Electrostatic Discharge in Electronics (18 papers), High voltage insulation and dielectric phenomena (10 papers), Semiconductor materials and devices (9 papers) and Metal and Thin Film Mechanics (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (536 citations), Building and Construction (330 citations), Electrical and Electronic Engineering (1.4k citations), Atomic and Molecular Physics, and Optics (342 citations) and Environmental Engineering (143 citations). Yangyang Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include John Verboncoeur, Peng Zhang, Xinxin Wang, Yanfei Li, Jianli Chen, Jin Wen, William Livingood, Liang Zhang, Yunyang Ye and Xiaobing Zou. Their work appears in journals such as Physics of Plasmas, Plasma Sources Science and Technology, Applied Physics Letters, IEEE Transactions on Plasma Science and Journal of Applied Physics.

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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