Lijia Ma

6.4k total citations · 1 hit paper
81 papers, 2.5k citations indexed

About

Lijia Ma is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Lijia Ma has authored 81 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistical and Nonlinear Physics, 30 papers in Artificial Intelligence and 22 papers in Molecular Biology. Recurrent topics in Lijia Ma's work include Complex Network Analysis Techniques (37 papers), Opinion Dynamics and Social Influence (23 papers) and Advanced Multi-Objective Optimization Algorithms (16 papers). Lijia Ma is often cited by papers focused on Complex Network Analysis Techniques (37 papers), Opinion Dynamics and Social Influence (23 papers) and Advanced Multi-Objective Optimization Algorithms (16 papers). Lijia Ma collaborates with scholars based in China, Hong Kong and Mexico. Lijia Ma's co-authors include Maoguo Gong, Qing Cai, Licheng Jiao, Xiaowei Chen, Bo Shen, Qiuzhen Lin, Jianqiang Li, Qingfu Zhang, Carlos A. Coello Coello and Dayong Tian and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and International Journal of Cancer.

In The Last Decade

Lijia Ma

74 papers receiving 2.4k citations

Hit Papers

Complex Network Clustering by Multiobjective Discrete Par... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lijia Ma China 25 1.2k 815 511 419 336 81 2.5k
Kamal Berahmand Australia 33 927 0.8× 1.2k 1.5× 419 0.8× 135 0.3× 340 1.0× 54 2.5k
Hui Gao China 19 435 0.4× 310 0.4× 411 0.8× 106 0.3× 238 0.7× 70 1.5k
Nagarajan Natarajan United States 19 236 0.2× 683 0.8× 298 0.6× 182 0.4× 306 0.9× 63 1.6k
Jianbin Huang China 24 637 0.5× 611 0.7× 185 0.4× 148 0.4× 322 1.0× 96 1.7k
Parham Moradi Iran 28 423 0.3× 1.9k 2.4× 397 0.8× 322 0.8× 389 1.2× 108 3.2k
Shaojie Qiao China 26 279 0.2× 793 1.0× 173 0.3× 134 0.3× 289 0.9× 142 2.2k
Yuan Fang China 28 357 0.3× 1.3k 1.6× 316 0.6× 92 0.2× 205 0.6× 144 2.5k
Clara Pizzuti Italy 27 1.1k 0.9× 1.3k 1.6× 395 0.8× 236 0.6× 488 1.5× 99 2.6k
Ruoming Jin United States 33 609 0.5× 1.4k 1.7× 263 0.5× 372 0.9× 1.0k 3.0× 140 3.1k
Xiao Huang Hong Kong 23 423 0.3× 1.4k 1.8× 219 0.4× 57 0.1× 238 0.7× 94 2.0k

Countries citing papers authored by Lijia Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lijia Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijia Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Lijia Ma. A scholar is included among the top collaborators of Lijia 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 Lijia Ma. Lijia 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
1.
Liu, Songbai, Zeyi Wang, Lijia Ma, Jianyong Chen, & Xun Zhou. (2025). Learning improvement representations to accelerate evolutionary large-scale multiobjective optimization. Information Sciences. 705. 121973–121973. 1 indexed citations
2.
Lin, Qiuzhen, et al.. (2025). TOM: Joint Trajectory, Offloading and Migration Optimization in Stateful Service-Oriented UAV-Enabled VEC System. IEEE Transactions on Services Computing. 18(6). 4261–4275.
3.
Gao, Peng, et al.. (2025). Phage Host Prediction Using Deep Neural Network With Multi-Source Protein Language Models and Squeeze-and-Excitation Attention Mechanism. IEEE Journal of Biomedical and Health Informatics. 30(2). 1759–1771.
5.
Ma, Lijia, Peng Gao, Wenxiang Zhou, et al.. (2024). Multi-view attention graph convolutional networks for the host prediction of phages. Knowledge-Based Systems. 308. 112755–112755. 2 indexed citations
6.
Zhu, Qingling, et al.. (2023). A survey of dynamic pickup and delivery problems. Neurocomputing. 554. 126631–126631. 12 indexed citations
7.
Ma, Lijia, Yuan Bai, Zhanwei Du, et al.. (2023). Identifying Phage Sequences From Metagenomic Data Using Deep Neural Network With Word Embedding and Attention Mechanism. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(6). 3772–3785. 2 indexed citations
8.
Lin, Qiuzhen, et al.. (2023). Multiobjective Multitasking Optimization With Decomposition-Based Transfer Selection. IEEE Transactions on Cybernetics. 54(5). 3146–3159. 8 indexed citations
9.
Ma, Lijia, Jianqiang Li, Qiuzhen Lin, et al.. (2021). Enhancing Robustness and Resilience of Multiplex Networks Against Node-Community Cascading Failures. IEEE Transactions on Systems Man and Cybernetics Systems. 52(6). 3808–3821. 23 indexed citations
10.
Li, Jianqiang, Tao Sun, Xiaopeng Huang, et al.. (2021). A Memetic Path Planning Algorithm for Unmanned Air/Ground Vehicle Cooperative Detection Systems. IEEE Transactions on Automation Science and Engineering. 19(4). 2724–2737. 59 indexed citations
11.
Lin, Qiuzhen, et al.. (2021). An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization. IEEE Transactions on Evolutionary Computation. 26(4). 631–645. 45 indexed citations
12.
Wang, Jia, Qiuzhen Lin, Lijia Ma, et al.. (2020). A survey of decomposition approaches in multiobjective evolutionary algorithms. Neurocomputing. 408. 308–330. 37 indexed citations
13.
Ma, Lijia, Shiqiang Wang, Qiuzhen Lin, et al.. (2020). Multi-Neighborhood Learning for Global Alignment in Biological Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2598–2611. 7 indexed citations
14.
Ma, Lijia, et al.. (2020). SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(1). 136–149. 12 indexed citations
15.
Ma, Lijia, Xiaopeng Huang, Jianqiang Li, et al.. (2019). Privacy-Preserving Global Structural Balance Computation in Signed Networks. IEEE Transactions on Computational Social Systems. 7(1). 164–177. 5 indexed citations
16.
Ma, Lijia, Jianqiang Li, Qiuzhen Lin, et al.. (2019). Cost-Aware Robust Control of Signed Networks by Using a Memetic Algorithm. IEEE Transactions on Cybernetics. 50(10). 4430–4443. 19 indexed citations
17.
Wang, Haiyan, Qiuzhen Lin, Jianyong Chen, et al.. (2019). On Stability of Multi‐Valued Nonlinear Feedback Shift Registers. Complexity. 2019(1). 3 indexed citations
18.
Ma, Lijia, Wee Peng Tay, & Gaoxi Xiao. (2018). Iterative expectation maximization for reliable social sensing with information flows. Information Sciences. 501. 621–634. 7 indexed citations
19.
Lin, Qiuzhen, Xiaozhou Wang, Lijia Ma, et al.. (2018). Multiobjective Personalized Recommendation Algorithm Using Extreme Point Guided Evolutionary Computation. Complexity. 2018(1). 23 indexed citations
20.
Ma, Lijia, Jianqiang Li, Qiuzhen Lin, et al.. (2018). Reliable Link Inference for Network Data With Community Structures. IEEE Transactions on Cybernetics. 49(9). 3347–3361. 24 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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