Yuanbin Mo

463 citations
34 papers · 330 indexed · h-index 11
Topics
Metaheuristic Optimization Algorithms Research (16 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)Advanced Algorithms and Applications (7 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Yuanbin Mo

33 papers receiving 312 citations

Peers

Yuanbin Mo
Comparison fields: 5 of 71
  • Artificial Intelligence 164
  • Computational Theory and Mathematics 72
  • Electrical and Electronic Engineering 50
  • Computer Vision and Pattern Recognition 49
  • Computer Networks and Communications 48
Replace Ratul Chakraborty with:
Ratul Chakraborty India
Andi Tang China
Zhuoran Zhang China
Shail Kumar Dinkar India
Amir Shabani Canada
Anila Usman Pakistan
Hadi Nobahari Iran
Najeh Ben Guedria Tunisia
Heba Al-Hiary Jordan
Gh. S. El-Tawel Egypt
Yuanbin Mo relative to Ratul Chakraborty India Ratul Chakraborty's profile →
Citations per field
00.5×1.5×
Ratul Chakraborty · 1×
Citations per year

Countries citing papers authored by Yuanbin Mo

Since Specialization
Citations

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

Fields of papers citing papers by Yuanbin Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanbin Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanbin Mo. A scholar is included among the top collaborators of Yuanbin Mo 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 Yuanbin Mo. Yuanbin Mo 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 4
4 4
5 10
6 9
7 12
8 2
9 13
10 9
11 8
12 6
13 3
14
Hand Gesture Recognition Based on Convolutional Neural Network
3
15 1
16 6
17 2
18 13
19 75
20
An Expert System For Classification Of Rock Masses
6

About Yuanbin Mo

Yuanbin Mo is a scholar working on General Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 34 papers that have together received 330 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Advanced Algorithms and Applications (7 papers). The work is most often cited by research in Numerical Analysis (34 citations), Artificial Intelligence (164 citations) and Computational Theory and Mathematics (72 citations). Yuanbin Mo has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Qin Wang, Yanyue Lu, Jizhong Liu, Shengfeng Tian, Jiang Li, Baolei Wang, Mingyue Cui, Dezhao Chen, Yuedong Zhang and Kun Hu. Their work appears in journals such as PLoS ONE, Expert Systems with Applications 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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