Haili Ma
Impact in
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- Neuroscience and Neural Engineering
Papers in
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- Advanced Memory and Neural Computing 9
- Ferroelectric and Negative Capacitance Devices 8
- Semiconductor materials and devices 4
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- Animal Virus Infections Studies 8
- Co-authors
- Hangbing Lv (5 shared papers)Qing Luo (5 shared papers)Peng Yuan (5 shared papers)Xiaoxin Xu (5 shared papers)Tiancheng Gong (4 shared papers)Qi Liu (2 shared papers)Danian Dong (3 shared papers)Jie Feng (6 shared papers)
- Journals
- IEEE Transactions on Electron Devices (3 papers)Research in Veterinary Science (2 papers)IEEE Electron Device Letters (2 papers)Frontiers in Veterinary Science (2 papers)Journal of Integrative Agriculture (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Haili Ma
43 papers receiving 585 citations
Peers
Comparison fields: 5 of 112
- Drug Discovery 1
- Cellular and Molecular Neuroscience 83
- Animal Science and Zoology 45
- Electrical and Electronic Engineering 240
- Polymers and Plastics 47
Countries citing papers authored by Haili Ma
This map shows the geographic impact of Haili 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 Haili Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haili Ma more than expected).
Fields of papers citing papers by Haili Ma
This network shows the impact of papers produced by Haili 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 Haili Ma. The network helps show where Haili Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Haili 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 76 | |
| 2 | 2017 | 74 | |
| 3 | 2013 | 42 | |
| 4 | 2018 | 31 | |
| 5 | 2019 | 30 | |
| 6 | 2019 | 23 | |
| 7 | 2023 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 2019 | 20 | |
| 11 | 2017 | 19 | |
| 12 | 2016 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2019 | 15 | |
| 16 | 2018 | 15 | |
| 17 | 2013 | 12 | |
| 18 | 2013 | 12 | |
| 19 | 2018 | 9 | |
| 20 | 2018 | 9 |
About Haili Ma
Haili Ma is a scholar working on Electrical and Electronic Engineering, Animal Science and Zoology, Molecular Biology, Immunology and Infectious Diseases, having authored 45 papers that have together received 596 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Animal Virus Infections Studies (8 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Viral gastroenteritis research and epidemiology (6 papers), Virus-based gene therapy research (4 papers), Viral Infections and Immunology Research (4 papers), Semiconductor materials and devices (4 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Drug Discovery (1 citation), Cellular and Molecular Neuroscience (83 citations), Animal Science and Zoology (45 citations), Electrical and Electronic Engineering (240 citations) and Polymers and Plastics (47 citations). Haili Ma has collaborated with scholars based in China, United States and India. Frequent co-authors include Hangbing Lv, Qing Luo, Peng Yuan, Xiaoxin Xu, Tiancheng Gong, Qi Liu, Danian Dong, Jie Feng, Ming Liu and Jinming Wang. Their work appears in journals such as IEEE Transactions on Electron Devices, Research in Veterinary Science, IEEE Electron Device Letters, Frontiers in Veterinary Science and Journal of Integrative Agriculture.
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.