Maowei He

597 total citations
40 papers, 430 citations indexed

About

Maowei He is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Maowei He has authored 40 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Maowei He's work include Metaheuristic Optimization Algorithms Research (17 papers), Advanced Multi-Objective Optimization Algorithms (14 papers) and Evolutionary Algorithms and Applications (9 papers). Maowei He is often cited by papers focused on Metaheuristic Optimization Algorithms Research (17 papers), Advanced Multi-Objective Optimization Algorithms (14 papers) and Evolutionary Algorithms and Applications (9 papers). Maowei He collaborates with scholars based in China, Hong Kong and United States. Maowei He's co-authors include Hanning Chen, Xiaodan Liang, Weixing Su, Lianbo Ma, Xiaodan Liang, Kunyuan Hu, Linfeng Li, Yunlong Zhu, Fang Liu and Hujun Gong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors and Actuators B Chemical.

In The Last Decade

Maowei He

37 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maowei He China 10 126 111 76 54 45 40 430
Stefka Fidanova Bulgaria 10 39 0.3× 122 1.1× 14 0.2× 40 0.7× 31 0.7× 64 386
Ajit Kumar Sahoo India 12 57 0.5× 67 0.6× 12 0.2× 32 0.6× 50 1.1× 67 526
Li Tang China 8 103 0.8× 126 1.1× 104 1.4× 5 0.1× 38 0.8× 44 478
Liming Zhang China 10 41 0.3× 134 1.2× 8 0.1× 29 0.5× 70 1.6× 58 506
Lixing Yu United States 12 119 0.9× 330 3.0× 91 1.2× 10 0.2× 41 0.9× 20 605
Wenyuan Liu China 12 109 0.9× 63 0.6× 24 0.3× 58 1.1× 29 0.6× 44 463
Keigo Yamada Japan 13 119 0.9× 133 1.2× 23 0.3× 42 0.8× 92 2.0× 41 490
Feibo Jiang China 14 184 1.5× 169 1.5× 82 1.1× 7 0.1× 42 0.9× 34 742

Countries citing papers authored by Maowei He

Since Specialization
Citations

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

Fields of papers citing papers by Maowei He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maowei He

This figure shows the co-authorship network connecting the top 25 collaborators of Maowei He. A scholar is included among the top collaborators of Maowei He 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 Maowei He. Maowei He 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.
He, Maowei, et al.. (2025). Path planning for mobile robot based on improved ant colony Q-learning algorithm. International Journal on Interactive Design and Manufacturing (IJIDeM). 2 indexed citations
2.
Du, Zhiheng, Hao Cui, Fangping Yan, et al.. (2025). CH4 and CO2 emissions and dissolved carbon exporting in rivers on the upper Lanzhou section of the Yellow River, China. Geoscience Frontiers. 16(4). 102057–102057. 2 indexed citations
3.
Wang, Wenhai, Songyue Zhang, Jiantao Jiang, et al.. (2025). COF encapsulated bio-enzyme cascade Fe/Cu-MOF nanozyme to strengthen environmental tolerance of electrochemical/colorimetric dual-modal sensor toward pesticide residue monitoring. Sensors and Actuators B Chemical. 448. 139028–139028. 1 indexed citations
4.
He, Maowei, Zhixue Wang, Hanning Chen, Yang Cao, & Lianbo Ma. (2024). Multi‐Objective Evolutionary Algorithm Based on Decomposition With Orthogonal Experimental Design. Expert Systems. 42(2). 1 indexed citations
5.
He, Maowei, et al.. (2024). A Knee Point‐Driven Many‐Objective Evolutionary Algorithm with Adaptive Switching Mechanism. Journal of Applied Mathematics. 2024(1). 3 indexed citations
6.
Su, Weixing, et al.. (2023). Multi-scale adaptive networks for efficient inference. International Journal of Machine Learning and Cybernetics. 15(2). 267–282. 1 indexed citations
7.
Li, Linfeng, Weixing Su, Fang Liu, Maowei He, & Xiaodan Liang. (2023). Knowledge Fusion Distillation: Improving Distillation with Multi-scale Attention Mechanisms. Neural Processing Letters. 55(5). 6165–6180. 7 indexed citations
8.
He, Maowei, Haitao Xia, Hanning Chen, & Lianbo Ma. (2022). An Inhomogeneous Grid-Based Evolutionary Algorithm for Many-Objective Optimization. IEEE Access. 10. 60459–60473. 1 indexed citations
9.
Su, Weixing, Linfeng Li, Fang Liu, Maowei He, & Xiaodan Liang. (2022). AI on the edge: a comprehensive review. Artificial Intelligence Review. 55(8). 6125–6183. 44 indexed citations
10.
Sun, Wendi, et al.. (2020). A modified surrogate-assisted multi-swarm artificial bee colony for complex numerical optimization problems. Microprocessors and Microsystems. 76. 103050–103050. 8 indexed citations
11.
Peng, Lu, et al.. (2020). Dynamic strain signal monitoring and calibration with neural network based on hierarchical orthogonal artificial bee colony. Computer Communications. 159. 279–288. 1 indexed citations
12.
Chen, Hanning, et al.. (2019). Multi‐Swarm Multi‐Objective Optimizer Based on p‐Optimality Criteria for Multi‐Objective Portfolio Management. Mathematical Problems in Engineering. 2019(1). 2 indexed citations
13.
Liang, Xiaodan, et al.. (2019). LSTM with Wavelet Transform Based Data Preprocessing for Stock Price Prediction. Mathematical Problems in Engineering. 2019(1). 64 indexed citations
14.
Su, Weixing, Fang Liu, Jianjun Zhao, Maowei He, & Hanning Chen. (2017). An on-line detection method for outliers of dynamic unstable measurement data. Cluster Computing. 22(S4). 7831–7839. 1 indexed citations
15.
Chen, Hanning, et al.. (2016). Artificial Bee Colony Optimizer Based on Bee Life-Cycle for Stationary and Dynamic Optimization. IEEE Transactions on Systems Man and Cybernetics Systems. 1–20. 29 indexed citations
16.
Sun, Liling, Maowei He, Jingtao Hu, Yunlong Zhu, & Hanning Chen. (2015). A Butterfly-Shaped Wideband Microstrip Patch Antenna for Wireless Communication. International Journal of Antennas and Propagation. 2015. 1–8. 30 indexed citations
17.
He, Maowei, Liling Sun, Kunyuan Hu, Yunlong Zhu, & Hanning Chen. (2015). Analysis of DoD inkjet printhead performance for printable electronics fabrication using dynamic lumped element modeling and swarm intelligence based optimal prediction. Journal of Central South University. 22(10). 3925–3934. 9 indexed citations
18.
He, Maowei, et al.. (2014). Hierarchical Artificial Bee Colony Optimizer with Divide-and-Conquer and Crossover for Multilevel Threshold Image Segmentation. Discrete Dynamics in Nature and Society. 2014. 1–22. 4 indexed citations
19.
Zhang, Qian, Shuyao Wu, Maowei He, et al.. (2012). Preparation and Bioelectrochemical Application of Gold Nanoparticles-Chitosan-Graphene Nanomaterials. Acta Chimica Sinica. 70(21). 2213–2213. 6 indexed citations
20.

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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