Mengjun Ming

849 citations
16 papers · 663 · 1 hit paper · h-index 10

Impact in

Papers in

Mengjun Ming

16 papers receiving 656 citations

Mengjun Ming's Hit Papers

A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization 2021 · 195 citations
1950+1+3Years since publication50100150

Peers

Mengjun Ming
Comparison fields: 5 of 51
  • Energy Engineering and Power Technology 178
  • Computational Theory and Mathematics 284
  • Pollution 105
  • Artificial Intelligence 268
  • Control and Systems Engineering 153
Replace S. K. Bath with:
S. K. Bath India
Yu Ru United States
Hari Mohan Dubey India
Faranak Golestaneh Iran
S. Sivasubramani India
Sundaram B. Pandya India
Bahman Bahmani-Firouzi Iran
Jingyi Zhao China
A.A. El-Keib United States
Mojtaba Ghasemi Iran
Mengjun Ming relative to S. K. Bath India S. K. Bath's profile →
Citations per field
00.5×
S. K. Bath · 1×
Citations per year

Countries citing papers authored by Mengjun Ming

Since Specialization
Citations

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

Fields of papers citing papers by Mengjun Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Mengjun Ming, 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 Mengjun Ming Line = papers co-authored together Mengjun Ming links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization
Hit paper breakdown →
2021195
2 201787
3 201782
4 202173
5 201740
6 202037
7 201933
8 201831
9 201927
10 202126
11 20199
12 20199
13 20226
14 20176
15 20211
16 20181

About Mengjun Ming

Mengjun Ming is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Energy Engineering and Power Technology, Pollution and Control and Systems Engineering, having authored 16 papers that have together received 663 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (7 papers), Hybrid Renewable Energy Systems (6 papers), Electric Vehicles and Infrastructure (3 papers), Energy and Environment Impacts (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Evolutionary Algorithms and Applications (3 papers), Integrated Energy Systems Optimization (3 papers) and Microgrid Control and Optimization (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (178 citations), Computational Theory and Mathematics (284 citations), Pollution (105 citations), Artificial Intelligence (268 citations) and Control and Systems Engineering (153 citations). Mengjun Ming has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Rui Wang, Tao Zhang, Dipti Srinivasan, Anupam Trivedi, Yabing Zha, Guozheng Li, Hisao Ishibuchi, Ling Wang, Guohua Wu and Wenhua Li. Their work appears in journals such as Information Sciences, Energies, IEEE Transactions on Evolutionary Computation, Swarm and Evolutionary Computation 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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