Haiping Ma

3.8k total citations · 1 hit paper
86 papers, 2.5k citations indexed

About

Haiping Ma is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haiping Ma has authored 86 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 22 papers in Computational Theory and Mathematics and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haiping Ma's work include Metaheuristic Optimization Algorithms Research (30 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Evolutionary Algorithms and Applications (18 papers). Haiping Ma is often cited by papers focused on Metaheuristic Optimization Algorithms Research (30 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Evolutionary Algorithms and Applications (18 papers). Haiping Ma collaborates with scholars based in China, United States and United Kingdom. Haiping Ma's co-authors include Dan Simon, Minrui Fei, Zhile Yang, Enhong Chen, Shan Yu, Yajing Zhang, Ting Liu, Huiyu Zhou, Xingyi Zhang and Ye Tian and has published in prestigious journals such as PLoS ONE, Environmental Pollution and IEEE Transactions on Image Processing.

In The Last Decade

Haiping Ma

83 papers receiving 2.4k citations

Hit Papers

A comprehensive survey on NSGA-II for multi-objective opt... 2023 2026 2024 2025 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiping Ma China 28 1.3k 553 475 323 230 86 2.5k
Hamza Turabieh Saudi Arabia 31 1.3k 1.1× 274 0.5× 251 0.5× 344 1.1× 179 0.8× 85 2.8k
Siti Mariyam Shamsuddin Malaysia 23 1.2k 0.9× 228 0.4× 352 0.7× 365 1.1× 227 1.0× 133 2.4k
Kalyan Veeramachaneni United States 21 1.3k 1.0× 329 0.6× 308 0.6× 365 1.1× 179 0.8× 82 2.5k
Pei‐Wei Tsai China 25 792 0.6× 228 0.4× 399 0.8× 260 0.8× 244 1.1× 91 2.0k
Ahamad Tajudin Khader Malaysia 25 1.7k 1.4× 544 1.0× 345 0.7× 484 1.5× 267 1.2× 66 3.0k
Iyad Abu Doush Jordan 26 1.1k 0.8× 324 0.6× 368 0.8× 362 1.1× 207 0.9× 104 2.3k
Jeffrey O. Agushaka South Africa 18 1.5k 1.2× 530 1.0× 381 0.8× 428 1.3× 334 1.5× 27 2.8k
Isaac Triguero Spain 30 2.2k 1.8× 310 0.6× 363 0.8× 772 2.4× 194 0.8× 90 3.5k
Ardeshir Bahreininejad Iran 23 1.9k 1.5× 1.3k 2.3× 557 1.2× 223 0.7× 631 2.7× 56 4.3k
Ala’ M. Al-Zoubi Jordan 23 2.0k 1.6× 447 0.8× 283 0.6× 417 1.3× 206 0.9× 51 3.0k

Countries citing papers authored by Haiping Ma

Since Specialization
Citations

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

Fields of papers citing papers by Haiping Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiping Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Haiping Ma. A scholar is included among the top collaborators of Haiping 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 Haiping Ma. Haiping 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
2.
Ma, Yanwen, Xiangli Dong, Bin Li, et al.. (2025). Diversity and functional roles of viral communities in gene transfer and antibiotic resistance in aquaculture waters and microplastic biofilms. Environmental Pollution. 381. 126636–126636. 1 indexed citations
3.
Ma, Haiping, Ting Liu, Yajing Zhang, Minrui Fei, & Huiyu Zhou. (2024). Maximum correntropy smoothers based on information theoretic learning in non-Gaussian environments. Transactions of the Institute of Measurement and Control. 48(4). 715–732. 1 indexed citations
4.
Li, Qian, Ke Yin, Haiping Ma, et al.. (2024). Application of improved GalNAc conjugation in development of cost-effective siRNA therapies targeting cardiovascular diseases. Molecular Therapy. 32(3). 637–645. 6 indexed citations
5.
Ma, Haiping, et al.. (2024). Model analysis and application case for complex multi-system evolutionary optimization. Evolutionary Intelligence. 17(4). 2733–2748.
6.
Liu, Ting, et al.. (2024). Distributed maximum correntropy unscented Kalman filter under hybrid attacks in non‐Gaussian environment. Asian Journal of Control. 26(5). 2451–2463. 4 indexed citations
7.
Ma, Haiping, et al.. (2023). Weighted multi-error information entropy based you only look once network for underwater object detection. Engineering Applications of Artificial Intelligence. 130. 107766–107766. 24 indexed citations
8.
Zhang, Yunfei, Chuan Qin, Dazhong Shen, et al.. (2023). ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. 858–867. 6 indexed citations
9.
Ma, Haiping, et al.. (2023). A novel computerized adaptive testing framework with decoupled learning selector. Complex & Intelligent Systems. 9(5). 5555–5566. 4 indexed citations
10.
Zhou, Yuming, Haiping Ma, Fan He, et al.. (2023). Quality of childcare and delayed child development in left-behind children in China. Pediatric Research. 95(3). 809–818. 9 indexed citations
11.
Chen, Long, Feixiang Zhou, Shengke Wang, et al.. (2022). SWIPENET: Object detection in noisy underwater scenes. Pattern Recognition. 132. 108926–108926. 84 indexed citations
12.
Zhang, Yanhui, Shili Lin, Haiping Ma, Yuanjun Guo, & Wei Feng. (2021). A Novel Pigeon‐Inspired Optimized RBF Model for Parallel Battery Branch Forecasting. Complexity. 2021(1). 1 indexed citations
13.
Tong, Shiwei, Qi Liu, Wei Huang, et al.. (2020). Structure-Based Knowledge Tracing: An Influence Propagation View. 541–550. 66 indexed citations
14.
Ma, Haiping, et al.. (2020). Heparin sensitivity and postoperative blood loss in patients undergoing cardiac surgery with cardiopulmonary bypass. European Journal of Anaesthesiology. 37(3). 162–169. 3 indexed citations
15.
Ma, Haiping, Shigen Shen, Mei Yu, et al.. (2018). Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey. Swarm and Evolutionary Computation. 44. 365–387. 155 indexed citations
16.
Yang, Zhile, Kang Li, Yuanjun Guo, Haiping Ma, & Min Zheng. (2018). Compact real-valued teaching-learning based optimization with the applications to neural network training. Knowledge-Based Systems. 159. 51–62. 57 indexed citations
17.
Ma, Haiping, Zhile Yang, Pengcheng You, & Minrui Fei. (2017). Multi-objective biogeography-based optimization for dynamic economic emission load dispatch considering plug-in electric vehicles charging. Energy. 135. 101–111. 103 indexed citations
18.
Sun, Jinkun, et al.. (2016). RESEARCH ON THE IMPROVEMENT OF CONSTRUCTION WASTE RECOVERY PROCESS. 34(12). 107. 1 indexed citations
19.
Ma, Haiping, et al.. (2010). Oppositional ant colony optimization algorithm and its application to fault monitoring. Chinese Control Conference. 3895–3898. 30 indexed citations
20.
Ma, Haiping. (2009). Effects of controlled-release nitrogen fertilizer on characteristics of source,sink and flow of summer maize(Zea mays L.). He'nan nongye daxue xuebao. 1 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.

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