Yining Ma

929 total citations
29 papers, 550 citations indexed

About

Yining Ma is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yining Ma has authored 29 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Industrial and Manufacturing Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yining Ma's work include Vehicle Routing Optimization Methods (6 papers), Robotic Path Planning Algorithms (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Yining Ma is often cited by papers focused on Vehicle Routing Optimization Methods (6 papers), Robotic Path Planning Algorithms (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Yining Ma collaborates with scholars based in China, Singapore and United States. Yining Ma's co-authors include Yue‐Jiao Gong, Jun Zhang, Zhiguang Cao, Ying Gao, Wen Song, Jingwen Li, Jie Zhang, Ruize Gao, Kai Lei and Andrew Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACS Applied Materials & Interfaces.

In The Last Decade

Yining Ma

27 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yining Ma China 11 154 139 99 84 81 29 550
Juntao Li China 10 160 1.0× 158 1.1× 82 0.8× 24 0.3× 121 1.5× 54 543
Leonora Bianchi Switzerland 8 320 2.1× 47 0.3× 268 2.7× 28 0.3× 89 1.1× 12 748
Yiming Nie China 11 47 0.3× 300 2.2× 36 0.4× 48 0.6× 17 0.2× 45 586
Sung Won Cho South Korea 10 130 0.8× 110 0.8× 18 0.2× 73 0.9× 44 0.5× 21 359
Ahmad Hemmati Norway 10 504 3.3× 71 0.5× 41 0.4× 31 0.4× 27 0.3× 24 648
Akash Tayal India 11 177 1.1× 104 0.7× 169 1.7× 28 0.3× 38 0.5× 29 680
Yian Zhu China 12 160 1.0× 42 0.3× 64 0.6× 36 0.4× 146 1.8× 98 604
Ting-Yu Lin Taiwan 15 183 1.2× 60 0.4× 67 0.7× 23 0.3× 375 4.6× 50 711
Edgar Scavino Malaysia 12 199 1.3× 74 0.5× 65 0.7× 11 0.1× 27 0.3× 27 651
Yi Ding China 14 47 0.3× 58 0.4× 73 0.7× 17 0.2× 85 1.0× 54 505

Countries citing papers authored by Yining Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yining Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yining Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yining Ma. A scholar is included among the top collaborators of Yining 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 Yining Ma. Yining 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.
Cao, Zhiguang, et al.. (2025). Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning. 683–694. 1 indexed citations
2.
Ma, Yining, et al.. (2024). Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. Proceedings of the Genetic and Evolutionary Computation Conference. 1497–1505. 3 indexed citations
3.
Ma, Yining, et al.. (2024). Efficient Neural Collaborative Search for Pickup and Delivery Problems. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11019–11034. 8 indexed citations
4.
Cao, Zhiguang, et al.. (2024). Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. arXiv (Cornell University). 884–895. 2 indexed citations
5.
Ma, Yining, et al.. (2024). Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. IEEE Transactions on Systems Man and Cybernetics Systems. 54(7). 4247–4259. 14 indexed citations
6.
7.
Chen, Shuo, et al.. (2024). Decision-Making With Speculative Opponent Models. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5304–5318.
8.
Sun, Zhu, et al.. (2024). Disentangled Multi-interest Representation Learning for Sequential Recommendation. 677–688. 2 indexed citations
9.
Li, Jingwen, Yining Ma, Zhiguang Cao, et al.. (2023). Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 15279–15291. 15 indexed citations
10.
Gong, Yue‐Jiao, Ting Huang, Yining Ma, Sang-Woon Jeon, & Jun Zhang. (2023). MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles. IEEE Transactions on Intelligent Transportation Systems. 24(4). 3714–3727. 19 indexed citations
11.
12.
Zhang, Cong, Yaoxin Wu, Yining Ma, et al.. (2023). A review on learning to solve combinatorial optimisation problems in manufacturing. SHILAP Revista de lepidopterología. 5(1). 32 indexed citations
13.
Rong, Guangzhi, et al.. (2022). Hazard Assessment of Earthquake Disaster Chains Based on Deep Learning—A Case Study of Mao County, Sichuan Province. Frontiers in Earth Science. 9. 15 indexed citations
14.
Li, Jingwen, Yining Ma, Ruize Gao, et al.. (2021). Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. IEEE Transactions on Cybernetics. 52(12). 13572–13585. 122 indexed citations
15.
Ma, Yining, et al.. (2021). Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. Neural Information Processing Systems. 34. 4 indexed citations
16.
Liu, Qi, Leqi Wang, Yuanhang Zhou, et al.. (2021). Stromal Barrier-Dismantled Nanodrill-Like and Cancer Cell-Targeted pH-Responsive Polymeric Micelles for Further Enhancing the Anticancer Efficacy of Doxorubicin. ACS Biomaterials Science & Engineering. 7(12). 5690–5705. 10 indexed citations
17.
18.
Zhou, Yuanhang, Yang Zou, Yao Jin, et al.. (2020). Multi pH-sensitive polymer–drug conjugate mixed micelles for efficient co-delivery of doxorubicin and curcumin to synergistically suppress tumor metastasis. Biomaterials Science. 8(18). 5029–5046. 30 indexed citations
19.
Ma, Yining, et al.. (2018). Path Planning for Autonomous Underwater Vehicles: An Ant Colony Algorithm Incorporating Alarm Pheromone. IEEE Transactions on Vehicular Technology. 68(1). 141–154. 150 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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