Lianbo Ma

3.2k citations
119 papers · 2.1k indexed · 1 hit paper · h-index 26
Topics
Metaheuristic Optimization Algorithms Research (32 papers)Advanced Multi-Objective Optimization Algorithms (25 papers)Complex Network Analysis Techniques (13 papers)

In The Last Decade

Lianbo Ma

103 papers receiving 2.1k citations

Hit Papers

An Adaptive Localized Decision Variable Analysis Approach...2021202620222024202150100150200

Peers

Lianbo Ma
Comparison fields: 5 of 109
  • Artificial Intelligence 912
  • Computational Theory and Mathematics 503
  • Computer Networks and Communications 449
  • Computer Vision and Pattern Recognition 289
  • Electrical and Electronic Engineering 289
Replace Laizhong Cui with:
Laizhong Cui China
Tianlong Gu China
Huaqiang Yuan China
Youcef Djenouri Norway
Tianlong Gu China
Ahamad Tajudin Khader Malaysia
Eneko Osaba Spain
Mohammad Reza Meybodi Iran
Parham Moradi Iran
Yunni Xia China
Lianbo Ma relative to Laizhong Cui China Laizhong Cui's profile →
Citations per field
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Laizhong Cui · 1×
Citations per year

Countries citing papers authored by Lianbo Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lianbo Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianbo Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Lianbo Ma. A scholar is included among the top collaborators of Lianbo Ma 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 Lianbo Ma. Lianbo Ma 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 4
2 2
3 0
4 7
5 1
6 2
7 32
8 1
9 0
10 2
11 3
12 4
13 3
14 10
15 9
16 42
17 7
18 4
19 47
20 75

About Lianbo Ma

Lianbo Ma is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Media Technology, having authored 119 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (32 papers), Advanced Multi-Objective Optimization Algorithms (25 papers) and Complex Network Analysis Techniques (13 papers). The work is most often cited by research in Computational Theory and Mathematics (503 citations), Artificial Intelligence (912 citations) and Statistical and Nonlinear Physics (265 citations). Lianbo Ma has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Min Huang, Xingwei Wang, Shi Cheng, Yuhui Shi, Hanning Chen, Yunlong Zhu, Shengxiang Yang, Qiang He, Rui Wang and Kunyuan Hu. Their work appears in journals such as Nano Letters, IEEE Transactions on Image Processing and IEEE Communications Surveys & Tutorials.

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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