Hai Guo

1.0k citations
70 papers · 782 indexed · h-index 12
Topics
Electric Motor Design and Analysis (15 papers)Handwritten Text Recognition Techniques (13 papers)Image Processing and 3D Reconstruction (12 papers)
Partner nations
ChinaJapanItaly

In The Last Decade

Hai Guo

63 papers receiving 739 citations

Peers

Hai Guo
Comparison fields: 5 of 102
  • Electrical and Electronic Engineering 380
  • Materials Chemistry 235
  • Electronic, Optical and Magnetic Materials 138
  • Control and Systems Engineering 118
  • Mechanical Engineering 109
Replace Jun Shu with:
Jun Shu China
Zhiliang Wu China
Lei Yan China
Yajing Liu China
Jian‐Hong Liu China
Md. Nazmul Hasan Bangladesh
Mumtaj Begam Malaysia
Jin Deng China
Mengfei Wang China
Jin-Hyung Park South Korea
Hai Guo relative to Jun Shu China Jun Shu's profile →
Citations per field
00.5×1.5×1.8×
Jun Shu · 1×
Citations per year

Countries citing papers authored by Hai Guo

Since Specialization
Citations

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

Fields of papers citing papers by Hai Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Guo. A scholar is included among the top collaborators of Hai Guo 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 Hai Guo. Hai Guo 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 1
3 10
4 1
5 96
6 2
7 1
8 2
9 36
10 0
11 7
12
Speckle Reduction via Wavelet Shrinkage with Application to SAR based ATD/R
11
13 2
14 2
15 1
16 1
17 4
18 1
19 5
20 1

About Hai Guo

Hai Guo is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Electronic, Optical and Magnetic Materials, having authored 70 papers that have together received 782 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (15 papers), Handwritten Text Recognition Techniques (13 papers) and Image Processing and 3D Reconstruction (12 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (138 citations), Electrical and Electronic Engineering (380 citations) and Control and Systems Engineering (118 citations). Hai Guo has collaborated with scholars based in China, Japan and Italy. Frequent co-authors include Hao Luo, Jing Zhou, Jiamu Cao, Jinghua Yin, Xiaoxu Liu, O. Ichinokura, Likun Wang, Tianyi Ji, Zexiang Shen and Hongfei Lin. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Chemical Physics Letters and Expert Systems with Applications.

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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