Weijun Ma
Impact in
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
- Ion Channels and Receptors
Papers in
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- Protein purification and stability 3
-
- Vestibular and auditory disorders 5
- Co-authors
- Min Xu (8 shared papers)Quanxin Zhu (2 shared papers)Ying Cheng (5 shared papers)Junli Wang (2 shared papers)Qimin Zhang (4 shared papers)Xiaotong Zhang (3 shared papers)Juan Hu (3 shared papers)Beiying Liu (1 shared paper)
- Journals
- Neurocomputing (2 papers)Acta Oto-Laryngologica (2 papers)Applied Mathematics and Computation (2 papers)Sensors and Actuators B Chemical (2 papers)International Journal of Robust and Nonlinear Control (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weijun Ma
45 papers receiving 478 citations
Peers
Comparison fields: 5 of 116
- Sensory Systems 67
- Computational Mathematics 8
- Modeling and Simulation 28
- Otorhinolaryngology 24
- Neurology 41
Countries citing papers authored by Weijun Ma
This map shows the geographic impact of Weijun 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 Weijun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijun Ma more than expected).
Fields of papers citing papers by Weijun Ma
This network shows the impact of papers produced by Weijun 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 Weijun Ma. The network helps show where Weijun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijun 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 60 | |
| 2 | 2020 | 42 | |
| 3 | 2020 | 40 | |
| 4 | 2004 | 26 | |
| 5 | 2020 | 24 | |
| 6 | 2019 | 21 | |
| 7 | 2018 | 21 | |
| 8 | 2017 | 19 | |
| 9 | 2014 | 19 | |
| 10 | 2017 | 17 | |
| 11 | 2015 | 16 | |
| 12 | 2015 | 14 | |
| 13 | 2024 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2016 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2011 | 11 | |
| 18 | 2017 | 10 | |
| 19 | 2015 | 10 | |
| 20 | 2023 | 9 |
About Weijun Ma
Weijun Ma is a scholar working on Molecular Biology, Neurology, Computer Networks and Communications, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 491 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (6 papers), Vestibular and auditory disorders (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Stability and Control of Uncertain Systems (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Protein purification and stability (3 papers) and Tensor decomposition and applications (3 papers). The work is most often cited by research in Sensory Systems (67 citations), Computational Mathematics (8 citations), Modeling and Simulation (28 citations), Otorhinolaryngology (24 citations) and Neurology (41 citations). Weijun Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Min Xu, Quanxin Zhu, Ying Cheng, Junli Wang, Qimin Zhang, Xiaotong Zhang, Juan Hu, Beiying Liu, Juan Hu and Jianjun Du. Their work appears in journals such as Neurocomputing, Acta Oto-Laryngologica, Applied Mathematics and Computation, Sensors and Actuators B Chemical and International Journal of Robust and Nonlinear Control.
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.