Dongxu Ma

437 total citations · 1 hit paper
11 papers, 264 citations indexed

About

Dongxu Ma is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Dongxu Ma has authored 11 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Industrial and Manufacturing Engineering, 2 papers in Automotive Engineering and 2 papers in Mechanical Engineering. Recurrent topics in Dongxu Ma's work include Digital Transformation in Industry (10 papers), Manufacturing Process and Optimization (7 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). Dongxu Ma is often cited by papers focused on Digital Transformation in Industry (10 papers), Manufacturing Process and Optimization (7 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). Dongxu Ma collaborates with scholars based in China and United States. Dongxu Ma's co-authors include Guanghui Zhou, Fengtian Chang, Kai Ding, Dan Zhao, Zenghui Wang, Chao Zhang, Wei Cheng, Yanzhen Jing, Chao Zhang and Jinɡjinɡ Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and IEEE Internet of Things Journal.

In The Last Decade

Dongxu Ma

10 papers receiving 252 citations

Hit Papers

Towards new-generation hu... 2023 2026 2024 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongxu Ma China 6 165 33 33 27 22 11 264
Ana Cachada Portugal 6 219 1.3× 53 1.6× 23 0.7× 12 0.4× 26 1.2× 8 325
Shimin Liu China 7 189 1.1× 82 2.5× 40 1.2× 32 1.2× 22 1.0× 17 302
Iris Graessler Germany 8 164 1.0× 45 1.4× 43 1.3× 14 0.5× 9 0.4× 25 292
Andreas Löcklin Germany 10 180 1.1× 21 0.6× 10 0.3× 19 0.7× 21 1.0× 19 275
Ishwar Singh Canada 7 120 0.7× 30 0.9× 28 0.8× 10 0.4× 9 0.4× 18 207
Andrea de Giorgio Sweden 9 111 0.7× 56 1.7× 33 1.0× 35 1.3× 61 2.8× 22 311
Jan Zenisek Austria 8 100 0.6× 46 1.4× 37 1.1× 60 2.2× 69 3.1× 19 296
Vahid Salehi Germany 9 122 0.7× 65 2.0× 52 1.6× 24 0.9× 9 0.4× 30 224
Jack C. Chaplin United Kingdom 10 227 1.4× 26 0.8× 27 0.8× 24 0.9× 8 0.4× 33 311

Countries citing papers authored by Dongxu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Dongxu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongxu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Dongxu Ma. A scholar is included among the top collaborators of Dongxu 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 Dongxu Ma. Dongxu Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Zeng, Yu, Jian Li, Guoqiang Han, et al.. (2025). Catechin-Based Polyphenol Nanoparticles Ameliorated Ferroptosis to Alleviate Brain Injury after Intracerebral Hemorrhage. ACS Applied Materials & Interfaces. 17(5). 7424–7437. 7 indexed citations
2.
Xu, Qingfeng, Guanghui Zhou, Chao Zhang, et al.. (2025). A large language model-enabled machining process knowledge graph construction method for intelligent process planning. Advanced Engineering Informatics. 65. 103244–103244. 8 indexed citations
3.
Ma, Dongxu, Chao Zhang, Guanghui Zhou, et al.. (2025). A Systematic Review on Vision-Based Proactive Human Assembly Intention Recognition for Human-Centric Smart Manufacturing in Industry 5.0. IEEE Internet of Things Journal. 12(16). 32493–32515. 1 indexed citations
4.
Ma, Dongxu, et al.. (2025). Large and small-scale models’ fusion-driven proactive robotic manipulation control for human-robot collaborative assembly in industry 5.0. Robotics and Computer-Integrated Manufacturing. 97. 103078–103078. 2 indexed citations
6.
Zhang, Chao, Guanghui Zhou, Junjie Hu, et al.. (2024). Hybrid mechanism and data-driven digital twin model for assembly quality traceability and optimization of complex products. Advanced Engineering Informatics. 62. 102707–102707. 4 indexed citations
7.
Zhang, Chao, et al.. (2024). Digital twin-driven multi-dimensional assembly error modeling and control for complex assembly process in Industry 4.0. Advanced Engineering Informatics. 60. 102390–102390. 10 indexed citations
8.
Zhang, Chao, Zenghui Wang, Guanghui Zhou, et al.. (2023). Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review. Advanced Engineering Informatics. 57. 102121–102121. 132 indexed citations breakdown →
9.
Zhang, Chao, et al.. (2023). A deep learning-enabled human-cyber-physical fusion method towards human-robot collaborative assembly. Robotics and Computer-Integrated Manufacturing. 83. 102571–102571. 32 indexed citations
11.
Zhang, Chao, Guanghui Zhou, Jinɡjinɡ Li, et al.. (2022). A multi-access edge computing enabled framework for the construction of a knowledge-sharing intelligent machine tool swarm in Industry 4.0. Journal of Manufacturing Systems. 66. 56–70. 64 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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