Haiping Ma

1.1k total citations
38 papers, 709 citations indexed

About

Haiping Ma is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Haiping Ma has authored 38 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Haiping Ma's work include Intelligent Tutoring Systems and Adaptive Learning (9 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Metaheuristic Optimization Algorithms Research (7 papers). Haiping Ma is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (9 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Metaheuristic Optimization Algorithms Research (7 papers). Haiping Ma collaborates with scholars based in China, Hong Kong and Germany. Haiping Ma's co-authors include Xingyi Zhang, Ye Tian, Yaochu Jin, Kay Chen Tan, Xiaopeng Li, Lei Zhang, Hong Zheng, Lin Chen, Hai Guo and Hao Chen and has published in prestigious journals such as Meat Science, IEEE Transactions on Evolutionary Computation and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Haiping Ma

35 papers receiving 700 citations

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 15 340 224 62 62 59 38 709
Yifan Wang China 11 189 0.6× 23 0.1× 26 0.4× 86 1.4× 131 2.2× 52 601
Cungen Cao China 13 378 1.1× 169 0.8× 41 0.7× 93 1.5× 13 0.2× 89 592
Gregory Provan Ireland 18 492 1.4× 162 0.7× 102 1.6× 103 1.7× 5 0.1× 112 1.1k
Amir Masoud Eftekhari Moghadam Iran 15 331 1.0× 91 0.4× 47 0.8× 100 1.6× 5 0.1× 59 1.0k
Haiyang Fang China 12 216 0.6× 231 1.0× 91 1.5× 14 0.2× 14 0.2× 24 673
Kristian G. Olesen Denmark 14 889 2.6× 77 0.3× 103 1.7× 91 1.5× 50 0.8× 36 1.2k
Salah Ud Din China 14 475 1.4× 33 0.1× 46 0.7× 79 1.3× 8 0.1× 25 905
Oğuz Fındık Türkiye 10 296 0.9× 79 0.4× 16 0.3× 34 0.5× 5 0.1× 17 626
Shaimaa Ahmed Elsaid Egypt 13 310 0.9× 43 0.2× 70 1.1× 46 0.7× 7 0.1× 27 675

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
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Ma, Haiping, Chuan Qin, Dazhong Shen, et al.. (2025). Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach. ACM Transactions on Management Information Systems. 16(2). 1–25.
4.
Ma, Haiping, et al.. (2025). Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing. 997–1007. 1 indexed citations
5.
Ma, Haiping, et al.. (2025). AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis. Proceedings of the AAAI Conference on Artificial Intelligence. 39(12). 12337–12345. 1 indexed citations
6.
Ma, Haiping, et al.. (2024). Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8877–8885. 6 indexed citations
7.
Tian, Ye, et al.. (2024). An Evolutionary Multitasking Algorithm for Efficient Multiobjective Recommendations. IEEE Transactions on Artificial Intelligence. 6(3). 518–532. 3 indexed citations
8.
Qin, Chuan, Dazhong Shen, Shangshang Yang, et al.. (2024). RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. 4047–4058. 7 indexed citations
9.
Ma, Haiping, et al.. (2024). HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. 4479–4488. 10 indexed citations
10.
Qin, Chuan, Dazhong Shen, Haiping Ma, et al.. (2024). RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer. IEEE Transactions on Knowledge and Data Engineering. 36(7). 3429–3442. 13 indexed citations
11.
Yang, Shangshang, Haiping Ma, Ying Bi, et al.. (2024). An Evolutionary Multiobjective Neural Architecture Search Approach to Advancing Cognitive Diagnosis in Intelligent Education. IEEE Transactions on Evolutionary Computation. 29(6). 2431–2445. 5 indexed citations
12.
Peng, Xin, et al.. (2023). Multi-Level Medical Image Segmentation Network Based on Multi-Scale and Context Information Fusion Strategy. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(1). 474–487. 8 indexed citations
13.
Ma, Haiping, et al.. (2023). Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective. 4094–4098. 12 indexed citations
14.
Yang, Shangshang, Haoyu Wei, Haiping Ma, et al.. (2023). Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(3). 829–844. 21 indexed citations
15.
Zhang, Yajie, Hao Jiang, Ye Tian, Haiping Ma, & Xingyi Zhang. (2023). Multigranularity Surrogate Modeling for Evolutionary Multiobjective Optimization With Expensive Constraints. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 2956–2968. 20 indexed citations
16.
Tian, Ye, et al.. (2023). A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization. Swarm and Evolutionary Computation. 80. 101323–101323. 35 indexed citations
17.
Tian, Ye, Xiaopeng Li, Haiping Ma, et al.. (2022). Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(4). 1051–1064. 111 indexed citations
18.
Ma, Haiping, Zhenjie Liu, Xingyi Zhang, Lei Zhang, & Hao Jiang. (2021). Balancing topology structure and node attribute in evolutionary multi-objective community detection for attributed networks. Knowledge-Based Systems. 227. 107169–107169. 13 indexed citations
19.
Zhao, Hongke, et al.. (2021). CoEA: A Cooperative–Competitive Evolutionary Algorithm for Bidirectional Recommendations. IEEE Transactions on Evolutionary Computation. 26(1). 28–42. 23 indexed citations
20.
Tian, Ye, et al.. (2020). A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems. IEEE Transactions on Evolutionary Computation. 25(3). 405–418. 103 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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