Ji Ma
Impact in
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- Advanced Battery Technologies Research
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- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Corrosion Behavior and Inhibition 3
- Mesoporous Materials and Catalysis 2
- Layered Double Hydroxides Synthesis and Applications 2
- Co-authors
- Pengdong Chen (2 shared papers)Yuanqiang Zhu (2 shared papers)Hui Xu (2 shared papers)Yong Chen (1 shared paper)Da‐Wen Sun (3 shared papers)Jun‐Hu Cheng (3 shared papers)Gustavo Hernández Ábrego (1 shared paper)Vincent Zhao (1 shared paper)
- Journals
- Additive manufacturing (2 papers)Progress in Organic Coatings (2 papers)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)Optics Express (1 paper)RSC Advances (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Ji Ma
27 papers receiving 307 citations
Peers
Comparison fields: 5 of 81
- Automotive Engineering 34
- Artificial Intelligence 79
- Health Informatics 3
- Surfaces, Coatings and Films 14
- Computer Vision and Pattern Recognition 34
Countries citing papers authored by Ji Ma
This map shows the geographic impact of Ji 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 Ji Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Ma more than expected).
Fields of papers citing papers by Ji Ma
This network shows the impact of papers produced by Ji 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 Ji Ma. The network helps show where Ji Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 86 | |
| 2 | 2022 | 44 | |
| 3 | 2022 | 28 | |
| 4 | 2023 | 20 | |
| 5 | 2022 | 17 | |
| 6 | 2024 | 15 | |
| 7 | 2019 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2025 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 3 |
About Ji Ma
Ji Ma is a scholar working on Materials Chemistry, Mechanics of Materials, Mechanical Engineering, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering, having authored 30 papers that have together received 319 indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (3 papers), Supercapacitor Materials and Fabrication (3 papers), Polymer composites and self-healing (3 papers), Mesoporous Materials and Catalysis (2 papers), Welding Techniques and Residual Stresses (2 papers), Layered Double Hydroxides Synthesis and Applications (2 papers), Advanced Battery Materials and Technologies (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Automotive Engineering (34 citations), Artificial Intelligence (79 citations), Health Informatics (3 citations), Surfaces, Coatings and Films (14 citations) and Computer Vision and Pattern Recognition (34 citations). Ji Ma has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Pengdong Chen, Yuanqiang Zhu, Hui Xu, Yong Chen, Da‐Wen Sun, Jun‐Hu Cheng, Gustavo Hernández Ábrego, Vincent Zhao, Jing Lü and Yinfei Yang. Their work appears in journals such as Additive manufacturing, Progress in Organic Coatings, Colloids and Surfaces A Physicochemical and Engineering Aspects, Optics Express and RSC Advances.
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.