Yuanbin Mo

463 citations
34 papers · 330 · h-index 11

Impact in

    • Advanced Optimization Algorithms Research
    • Iterative Methods for Nonlinear Equations
    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications

Papers in

Yuanbin Mo

33 papers receiving 312 citations

Peers

Yuanbin Mo
Comparison fields: 5 of 71
  • Numerical Analysis 34
  • Artificial Intelligence 164
  • Computational Theory and Mathematics 72
  • 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
00.5×2.8×
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-authors

The 21 scholars most cited alongside Yuanbin Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuanbin Mo Line = papers co-authored together Yuanbin Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200875
2 201335
3 201119
4 202217
5 202117
6 202116
7 202213
8 201013
9 202312
10 202310
11 199310
12 20229
13 20239
14 20228
15 20128
16 20226
17
An Expert System For Classification Of Rock Masses
19886
18 20136
19 20226
20 20234

About Yuanbin Mo

Yuanbin Mo is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 34 papers that have together received 330 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (16 papers), Advanced Algorithms and Applications (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Evolutionary Algorithms and Applications (5 papers), Advanced Sensor and Control Systems (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), Vehicle Routing Optimization Methods (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Numerical Analysis (34 citations), Artificial Intelligence (164 citations), Computational Theory and Mathematics (72 citations), Computer Vision and Pattern Recognition (49 citations) and Computer Networks and Communications (48 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, Dezhao Chen, Qing Zhang, Qing Zhang, Yuedong Zhang and Kun Hu. Their work appears in journals such as IEEE Access, Membranes, Expert Systems with Applications, Journal of Intelligent & Fuzzy Systems and Engineering Optimization.

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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