Xiaofan Yu

898 citations
37 papers · 648 · h-index 11

Impact in

Papers in

Xiaofan Yu

33 papers receiving 632 citations

Peers

Xiaofan Yu
Comparison fields: 5 of 107
  • Soil Science 142
  • Agronomy and Crop Science 63
  • Plant Science 171
  • Animal Science and Zoology 40
  • Biomedical Engineering 132
Replace Li-Li Chen with:
Li-Li Chen China
Chikako van Koten New Zealand
Yunfei Wang China
Ruiyin He China
K. Vijayalakshmi India
Daniel Ingo Hefft United Kingdom
J. S. Patel United States
R. N. Edmondson United Kingdom
A. Martínez-Fernández Spain
Matthew F. Digman United States
Xiaofan Yu relative to Li-Li Chen China Li-Li Chen's profile →
Citations per field
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Li-Li Chen · 1×
Citations per year

Countries citing papers authored by Xiaofan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015165
2 2017138
3 201864
4 202148
5 201636
6 201934
7 201629
8 201524
9 202024
10 202016
11 202214
12 20209
13 20227
14 20204
15 20243
16 20233
17 20203
18 20213
19 20243
20 20242

About Xiaofan Yu

Xiaofan Yu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 37 papers that have together received 648 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (9 papers), Advanced Memory and Neural Computing (5 papers), IoT and Edge/Fog Computing (4 papers), Energy Harvesting in Wireless Networks (4 papers), Age of Information Optimization (4 papers), Cryptography and Data Security (3 papers), Multimodal Machine Learning Applications (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Soil Science (142 citations), Agronomy and Crop Science (63 citations), Plant Science (171 citations), Animal Science and Zoology (40 citations) and Biomedical Engineering (132 citations). Xiaofan Yu has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Liyue Guo, Gaoming Jiang, Fang Chen, Yanbin Li, Ronghui Wang, Guanglei Wu, Caihong Li, Haitao Liu, Yong Li and Jie Meng. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, PeerJ, Food Control, Sensors and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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