Hongbo Mu

424 citations
32 papers · 271 indexed · h-index 8
Topics
Industrial Vision Systems and Defect Detection (14 papers)Image Processing and 3D Reconstruction (12 papers)Wood and Agarwood Research (7 papers)
Partner nations
ChinaCanada

In The Last Decade

Hongbo Mu

27 papers receiving 261 citations

Peers

Hongbo Mu
Comparison fields: 5 of 85
  • Industrial and Manufacturing Engineering 62
  • Molecular Biology 57
  • Computer Vision and Pattern Recognition 49
  • Organic Chemistry 37
  • Environmental Engineering 33
Replace Phooi Yee Lau with:
Phooi Yee Lau Malaysia
Esa Prakasa Indonesia
Arvind R. Yadav India
Yuanhao Guo China
Malathy Jawahar India
Takeshi Yoshida Japan
Mengyang Zhao China
Xingzheng Wang China
Sarifuddin Madenda Indonesia
Fredrik Ahlgren Sweden
Hongbo Mu relative to Phooi Yee Lau Malaysia Phooi Yee Lau's profile →
Citations per field
00.5×7.6×
Phooi Yee Lau · 1×
Citations per year

Countries citing papers authored by Hongbo Mu

Since Specialization
Citations

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

Fields of papers citing papers by Hongbo Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbo Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongbo Mu. A scholar is included among the top collaborators of Hongbo Mu 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 Hongbo Mu. Hongbo Mu 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 0
2 8
3 7
4 4
5 16
6 6
7 93
8 4
9 17
10 18
11 3
12 3
13
Detection and recognition of wood defects based on gray transformation and BP neural network.
1
14 3
15 3
16 1
17 5
18 10
19 1
20 1

About Hongbo Mu

Hongbo Mu is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 32 papers that have together received 271 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (14 papers), Image Processing and 3D Reconstruction (12 papers) and Wood and Agarwood Research (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (62 citations), Computer Vision and Pattern Recognition (49 citations) and Environmental Engineering (33 citations). Hongbo Mu has collaborated with scholars based in China and Canada. Frequent co-authors include Dawei Qi, Mingyu Gao, Jianfeng Chen, Jianyi Yang, Zhenling Peng, Mingming Zhang, Hong Yang, Shangjie Ge‐Zhang, Yongshuai Jiang and Yudong Wang. Their work appears in journals such as Bioinformatics, Journal of Applied Physics and International Journal of Molecular Sciences.

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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