Yuchuan Fu

2.0k citations
67 papers · 1.2k indexed · 1 hit paper · h-index 17
Topics
Vehicular Ad Hoc Networks (VANETs) (20 papers)Privacy-Preserving Technologies in Data (20 papers)Blockchain Technology Applications and Security (17 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Wireless Communications
Partner nations
ChinaCanadaSingapore

In The Last Decade

Yuchuan Fu

59 papers receiving 1.2k citations

Hit Papers

A Survey of Blockchain and Intelligent Networking for the...202220262023202420224080120

Peers

Yuchuan Fu
Comparison fields: 5 of 91
  • Computer Networks and Communications 381
  • Electrical and Electronic Engineering 380
  • Automotive Engineering 325
  • Information Systems 302
  • Artificial Intelligence 295
Replace Ali H. Al‐Bayatti with:
Ali H. Al‐Bayatti United Kingdom
Latif U. Khan South Korea
Guiyang Luo China
Adnan Shaout United States
Jiadai Wang China
Klaus David Germany
Kazi Masudul Alam Bangladesh
Shaoshan Liu United States
Manzoor Ahmed Khan United Arab Emirates
Egemen Tanin Australia
Yuchuan Fu relative to Ali H. Al‐Bayatti United Kingdom Ali H. Al‐Bayatti's profile →
Citations per field
00.5×2.8×
Ali H. Al‐Bayatti · 1×
Citations per year

Countries citing papers authored by Yuchuan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yuchuan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchuan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchuan Fu. A scholar is included among the top collaborators of Yuchuan Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuchuan Fu. Yuchuan Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 5
4 4
5 32
6 5
7 6
8 0
9 1
10 0
11 1
12 8
13 36
14 86
15
Comparison of Dice similarity coefficient and Hausdorff distance in image segmentation
2
16 6
17 8
18 5
19 42
20 15

About Yuchuan Fu

Yuchuan Fu is a scholar working on Computer Science Applications, Automotive Engineering and Computer Networks and Communications, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (20 papers), Privacy-Preserving Technologies in Data (20 papers) and Blockchain Technology Applications and Security (17 papers). The work is most often cited by research in Automotive Engineering (325 citations), Computer Networks and Communications (381 citations) and Information Systems (302 citations). Yuchuan Fu has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Changle Li, Tom H. Luan, F. Richard Yu, Yao Zhang, Pincan Zhao, Sha Liu, Yanxing Song, Li Zhou, Nan Cheng and Lina Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Wireless Communications.

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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