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
- Co-authors
- Hui Xu (2 shared papers)Yuanqiang Zhu (2 shared papers)Pengdong Chen (2 shared papers)Jun‐Hu Cheng (3 shared papers)Da‐Wen Sun (3 shared papers)Jianmo Ni (1 shared paper)Zhuyun Dai (1 shared paper)Vincent Zhao (1 shared paper)
- Journals
- Progress in Organic Coatings (2 papers)Additive manufacturing (2 papers)Advanced Materials Interfaces (1 paper)Atmospheric Research (1 paper)Advanced Science (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Ji Ma
29 papers receiving 350 citations
Peers
Comparison fields: 5 of 82
- Automotive Engineering 35
- Artificial Intelligence 87
- Surfaces, Coatings and Films 16
- Health Informatics 3
- Polymers and Plastics 26
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 94 | |
| 2 | 2022 | 47 | |
| 3 | 2022 | 30 | |
| 4 | 2023 | 22 | |
| 5 | 2022 | 19 | |
| 6 | 2024 | 16 | |
| 7 | 2023 | 12 | |
| 8 | 2019 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2025 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 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 31 papers that have together received 357 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), Welding Techniques and Residual Stresses (2 papers), Additive Manufacturing Materials and Processes (2 papers), Data Management and Algorithms (2 papers), Natural Language Processing Techniques (2 papers) and Surface Modification and Superhydrophobicity (2 papers). The work is most often cited by research in Automotive Engineering (35 citations), Artificial Intelligence (87 citations), Surfaces, Coatings and Films (16 citations), Health Informatics (3 citations) and Polymers and Plastics (26 citations). Ji Ma has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Hui Xu, Yuanqiang Zhu, Pengdong Chen, Jun‐Hu Cheng, Da‐Wen Sun, Jianmo Ni, Zhuyun Dai, Vincent Zhao, Ming‐Wei Chang and Keith Hall. Their work appears in journals such as Progress in Organic Coatings, Additive manufacturing, Advanced Materials Interfaces, Atmospheric Research and Advanced Science.
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.