Fangyao Liu

2.7k citations
18 papers · 1.5k indexed · 1 hit paper · h-index 8
Topics
Advanced Neural Network Applications (4 papers)Vehicle License Plate Recognition (2 papers)Handwritten Text Recognition Techniques (2 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Fangyao Liu

16 papers receiving 1.5k citations

Hit Papers

A Review of Yolo Algorithm Developments202220262023202420224008001.2k

Peers

Fangyao Liu
Comparison fields: 5 of 159
  • Computer Vision and Pattern Recognition 585
  • Industrial and Manufacturing Engineering 220
  • Plant Science 198
  • Artificial Intelligence 156
  • Aerospace Engineering 144
Replace Peiyuan Jiang with:
Peiyuan Jiang China
Ying Cai China
Juan Terven Mexico
Diana‐Margarita Córdova‐Esparza Mexico
Julio-Alejandro Romero-González Mexico
Muhammad Hussain United Kingdom
Guanzhong Wang Germany
Zhen Jia China
Qingqing Dang China
Fangyao Liu relative to Peiyuan Jiang China Peiyuan Jiang's profile →
Citations per field
00.5×1.5×
Peiyuan Jiang · 1×
Citations per year

Countries citing papers authored by Fangyao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fangyao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangyao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangyao Liu. A scholar is included among the top collaborators of Fangyao Liu 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 Fangyao Liu. Fangyao Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 5
5 12
6 2
7 24
8 2
9 8
10 31
11 29
12 10
13 1
14 4
15 2
16 1
17
A Review of Yolo Algorithm Developmentsbreakdown →
1378
18 30

About Fangyao Liu

Fangyao Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Information Management, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Vehicle License Plate Recognition (2 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (585 citations), Industrial and Manufacturing Engineering (220 citations) and Media Technology (135 citations). Fangyao Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Daji Ergu, Ying Cai, Bo Ma, Peiyuan Jiang, Rui Zeng, Kaijun Gou, Xi Chen, Jie Ma, Ping Li and Boyang Yu. Their work appears in journals such as Scientific Reports, Journal of Animal Ecology and IEEE Access.

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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