Mengjie Zhang

32.0k total citations · 9 hit papers
594 papers, 17.7k citations indexed

About

Mengjie Zhang is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Mengjie Zhang has authored 594 papers receiving a total of 17.7k indexed citations (citations by other indexed papers that have themselves been cited), including 442 papers in Artificial Intelligence, 110 papers in Industrial and Manufacturing Engineering and 102 papers in Computational Theory and Mathematics. Recurrent topics in Mengjie Zhang's work include Metaheuristic Optimization Algorithms Research (338 papers), Evolutionary Algorithms and Applications (314 papers) and Advanced Multi-Objective Optimization Algorithms (96 papers). Mengjie Zhang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (338 papers), Evolutionary Algorithms and Applications (314 papers) and Advanced Multi-Objective Optimization Algorithms (96 papers). Mengjie Zhang collaborates with scholars based in New Zealand, China and Australia. Mengjie Zhang's co-authors include Bing Xue, Will N. Browne, Yi Mei, Su Nguyen, Yanan Sun, Gary G. Yen, Xin Yao, Mark Johnston, Fangfang Zhang and Kay Chen Tan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Circulation.

In The Last Decade

Mengjie Zhang

546 papers receiving 17.3k citations

Hit Papers

A Survey on Evolutionary Computation Approaches to Featur... 2012 2026 2016 2021 2015 2012 2020 2019 2013 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey on Evolutionary Computation Approaches to Feature Selection
    2015 1.2k citations Bing Xue, Mengjie Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  2. Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach
    2012 933 citations Bing Xue, Mengjie Zhang et al. profile →
  3. Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification
    2020 593 citations Yanan Sun, Bing Xue et al. profile →
  4. Evolving Deep Convolutional Neural Networks for Image Classification
    2019 510 citations Yanan Sun, Bing Xue et al. IEEE Transactions on Evolutionary Computation profile →
  5. Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms
    2013 463 citations Bing Xue, Mengjie Zhang et al. Applied Soft Computing profile →
  6. Domain Generalization for Object Recognition with Multi-task Autoencoders
    2015 339 citations Mengjie Zhang et al. profile →
  7. Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
    2016 323 citations Mengjie Zhang et al. profile →
  8. Automated Design of Production Scheduling Heuristics: A Review
    2015 311 citations Su Nguyen, Mengjie Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  9. A survey on swarm intelligence approaches to feature selection in data mining
    2020 292 citations Bing Xue, Mengjie Zhang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mengjie Zhang New Zealand 62 11.5k 3.4k 3.3k 3.1k 1.5k 594 17.7k
Yew-Soon Ong Singapore 67 10.7k 0.9× 7.3k 2.1× 1.7k 0.5× 1.6k 0.5× 1.1k 0.7× 448 17.4k
Bing Xue New Zealand 53 9.2k 0.8× 2.9k 0.9× 2.8k 0.8× 660 0.2× 1.0k 0.7× 475 13.3k
Thomas Stützle Belgium 48 8.6k 0.7× 4.7k 1.4× 1.7k 0.5× 5.8k 1.9× 1.6k 1.1× 232 18.9k
Gai‐Ge Wang China 62 7.3k 0.6× 3.4k 1.0× 1.7k 0.5× 1.6k 0.5× 1.4k 0.9× 189 12.9k
Bahriye Akay Türkiye 32 7.2k 0.6× 3.1k 0.9× 2.0k 0.6× 1.4k 0.5× 1.8k 1.2× 56 13.5k
Sam Kwong Hong Kong 73 8.5k 0.7× 4.3k 1.3× 11.0k 3.3× 1.1k 0.4× 2.0k 1.3× 671 24.5k
Andries P. Engelbrecht South Africa 51 9.0k 0.8× 4.5k 1.3× 1.4k 0.4× 891 0.3× 1.9k 1.2× 366 13.5k
Daniel Molina Spain 26 8.7k 0.8× 3.5k 1.0× 1.2k 0.4× 1.1k 0.3× 1.0k 0.7× 64 13.5k
Riccardo Poli United Kingdom 38 10.0k 0.9× 3.6k 1.0× 2.3k 0.7× 1.9k 0.6× 3.5k 2.4× 252 23.3k
Swagatam Das India 64 12.0k 1.0× 6.8k 2.0× 2.6k 0.8× 1.2k 0.4× 2.7k 1.8× 388 20.2k

Countries citing papers authored by Mengjie Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Mengjie Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengjie Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Mengjie Zhang. A scholar is included among the top collaborators of Mengjie Zhang 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 Mengjie Zhang. Mengjie Zhang 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
1.
Huang, Junhao, Bing Xue, Yanan Sun, Mengjie Zhang, & Gary G. Yen. (2025). Automated design of neural networks with multi-scale convolutions via multi-path weight sampling. Pattern Recognition. 165. 111605–111605. 1 indexed citations
2.
Zhang, Mengjie, Yuanyuan Li, Hao Qin, et al.. (2025). In-situ grown CoVSe/reduced graphene oxide nanocomposites as bifunctional electrode material for supercapacitors and lithium-ion batteries. Journal of Power Sources. 631. 236251–236251. 5 indexed citations
3.
4.
Guo, Tong, Yi Mei, Mengjie Zhang, et al.. (2025). Enhanced Evolution of Parallel Algorithm Portfolio for Vehicle Routing Problem via Transfer Optimization. IEEE Transactions on Evolutionary Computation. 1–1.
5.
Wang, Chunyu, Qi Chen, Bing Xue, & Mengjie Zhang. (2024). Semantics-guided multi-task genetic programming for multi-output regression. Pattern Recognition. 161. 111289–111289. 1 indexed citations
6.
Liu, Fangfang, Juan Zhang, Yifeng Liu, et al.. (2024). FARS2 Deficiency Causes Cardiomyopathy by Disrupting Mitochondrial Homeostasis and the Mitochondrial Quality Control System. Circulation. 149(16). 1268–1284. 19 indexed citations
7.
Wang, Yuanyuan, Shuo Wang, Qi‐Chao Yang, et al.. (2024). Dual-Responsive Epigenetic Inhibitor Nanoprodrug Combined with Oncolytic Virus Synergistically Boost Cancer Immunotherapy by Igniting Gasdermin E-Mediated Pyroptosis. ACS Nano. 18(31). 20167–20180. 14 indexed citations
8.
Tian, Yuan, Yi Mei, & Mengjie Zhang. (2024). Learning Heuristics via Genetic Programming for Multi-Mode Resource-Constrained Project Scheduling. 1–8. 1 indexed citations
9.
Ain, Qurrat Ul, Harith Al-Sahaf, Bing Xue, & Mengjie Zhang. (2024). Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection. IEEE Computational Intelligence Magazine. 19(3). 26–41.
10.
Liang, Jing, et al.. (2024). A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 4 indexed citations
11.
Yang, Yifan, Gang Chen, Hui Ma, Sven Hartmann, & Mengjie Zhang. (2024). Dual-Tree Genetic Programming with Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing. IEEE Transactions on Evolutionary Computation. 29(5). 1692–1706. 10 indexed citations
12.
Tran, Binh, et al.. (2024). Fairness optimisation with multi-objective swarms for explainable classifiers on data streams. Complex & Intelligent Systems. 10(4). 4741–4754. 1 indexed citations
13.
Li, An‐Da, Bing Xue, & Mengjie Zhang. (2023). Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes. Information Sciences. 641. 119062–119062. 25 indexed citations
14.
15.
Al-Sahaf, Harith, Pablo Mesejo, Ying Bi, & Mengjie Zhang. (2023). Evolutionary deep learning for computer vision and image processing. Applied Soft Computing. 151. 111159–111159. 6 indexed citations
16.
Bi, Ying, et al.. (2023). A genetic programming-based method for image classification with small training data. Knowledge-Based Systems. 283. 111188–111188. 6 indexed citations
17.
Wang, Peng, Bing Xue, Jing Liang, & Mengjie Zhang. (2023). Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. Information Sciences. 626. 586–606. 43 indexed citations
18.
Xu, Meng, Yi Mei, Fangfang Zhang, & Mengjie Zhang. (2022). Genetic programming with diverse partner selection for dynamic flexible job shop scheduling. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 615–618. 6 indexed citations
19.
Nguyen, Su, Dhananjay Thiruvady, Mengjie Zhang, & Kay Chen Tan. (2021). A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming. IEEE Transactions on Evolutionary Computation. 25(3). 492–507. 8 indexed citations
20.
Mei, Yi, et al.. (2020). Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling. Evolutionary Computation. 29(1). 75–105. 41 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yew-Soon Ong Breakdown of academic impact, for papers by Bing Xue Breakdown of academic impact, for papers by Thomas Stützle Breakdown of academic impact, for papers by Gai‐Ge Wang Breakdown of academic impact, for papers by Bahriye Akay Breakdown of academic impact, for papers by Sam Kwong Breakdown of academic impact, for papers by Andries P. Engelbrecht Breakdown of academic impact, for papers by Daniel Molina Breakdown of academic impact, for papers by Riccardo Poli Breakdown of academic impact, for papers by Swagatam Das
Rankless by CCL
2026