Mingwen Wang

2.8k citations
86 papers · 1.8k indexed · 1 hit paper · h-index 17
Topics
Metaheuristic Optimization Algorithms Research (14 papers)Advanced Multi-Objective Optimization Algorithms (10 papers)Image Retrieval and Classification Techniques (8 papers)

In The Last Decade

Mingwen Wang

79 papers receiving 1.6k citations

Hit Papers

Design of a distributed energy-efficient clustering algor...20062026201220192006250500750

Peers

Mingwen Wang
Comparison fields: 5 of 121
  • Computer Networks and Communications 910
  • Electrical and Electronic Engineering 784
  • Computer Vision and Pattern Recognition 296
  • Artificial Intelligence 282
  • Renewable Energy, Sustainability and the Environment 149
Replace Meng Zheng with:
Meng Zheng China
Siting Liu China
Yu‐Cheng Kao Taiwan
S.R. Das Canada
Fulong Chen China
Xiaobing Zhou China
Jihong Park Australia
Bilal A. Khawaja Pakistan
Yuxin Wang China
Mingwen Wang relative to Meng Zheng China Meng Zheng's profile →
Citations per field
00.5×7.1×
Meng Zheng · 1×
Citations per year

Countries citing papers authored by Mingwen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingwen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingwen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingwen Wang. A scholar is included among the top collaborators of Mingwen Wang 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 Mingwen Wang. Mingwen Wang 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 3
2 1
3 2
4 2
5 5
6 11
7 3
8 15
9 1
10 2
11 15
12 1
13
Improved Itti Visual Saliency Detection Based on Multi-scale Tensor Space
1
14 3
15 42
16 1
17
Principal Feature Selection Method Based on Improved ReliefF Algorithm
1
18 1
19
A Dempster-Shafer Model for Query Expansion
0
20 1

About Mingwen Wang

Mingwen Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Computer Networks and Communications (910 citations), Computer Vision and Pattern Recognition (296 citations) and Electrical and Electronic Engineering (784 citations). Mingwen Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qingxin Zhu, Qing Li, Xinyu Zhou, Aiwen Jiang, Kunmei Su, Xi Du, Jihua Ye, Victor S. Sheng, Zhenhuan Li and Maliang Zhang. Their work appears in journals such as Scientific Reports, Carbon and Chemical Engineering Journal.

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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