Siyao Fu

1.2k citations
46 papers · 753 · h-index 13

Impact in

Papers in

Siyao Fu

43 papers receiving 734 citations

Peers

Siyao Fu
Comparison fields: 5 of 106
  • Automotive Engineering 128
  • Computer Vision and Pattern Recognition 164
  • Ocean Engineering 82
  • Electrical and Electronic Engineering 269
  • Control and Systems Engineering 96
Replace Valentina Bianchi with:
Valentina Bianchi Italy
Doo-Hyun Choi South Korea
Dan Liu China
Huijie Chen China
Hongliang Guo China
Bing Yan China
Mingzhu Zhu China
Dong-Gyu Lee South Korea
Rui Song China
Siyao Fu relative to Valentina Bianchi Italy Valentina Bianchi's profile →
Citations per field
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Valentina Bianchi · 1×
Citations per year

Countries citing papers authored by Siyao Fu

Since Specialization
Citations

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

Fields of papers citing papers by Siyao Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014174
2 2014118
3 201550
4 201937
5 201634
6 201231
7 201528
8 200926
9 200622
10 201922
11 202419
12 202017
13 201216
14 202312
15 201011
16 202510
17 201010
18 20069
19 20219
20 20089

About Siyao Fu

Siyao Fu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Ocean Engineering, Artificial Intelligence and Aerospace Engineering, having authored 46 papers that have together received 753 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Power Line Inspection Robots (6 papers), Underwater Vehicles and Communication Systems (6 papers), Indoor and Outdoor Localization Technologies (5 papers), Advanced Memory and Neural Computing (4 papers), Face and Expression Recognition (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Automotive Engineering (128 citations), Computer Vision and Pattern Recognition (164 citations), Ocean Engineering (82 citations), Electrical and Electronic Engineering (269 citations) and Control and Systems Engineering (96 citations). Siyao Fu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jun Yang, Haibo He, Zeng‐Guang Hou, Di Huang, Taifu Li, Jun Yi, Guosheng Yang, Zize Liang, Min Tan and Xiaotao Zhang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Science China Materials, Advanced Optical Materials, Physica A Statistical Mechanics and its Applications 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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