Ming Hu
Impact in
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- Neural dynamics and brain function
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- Cooperative Communication and Network Coding
- Wireless Networks and Protocols
- Mobile Ad Hoc Networks
Papers in
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- Caching and Content Delivery 4
- Wireless Communication Networks Research 4
- Co-authors
- Junshan Zhang (3 shared papers)Masao Fukushima (3 shared papers)Valentin Dragoi (4 shared papers)Mriganka Sur (5 shared papers)Murat Yıldırım (2 shared papers)Xiaolong Jiang (3 shared papers)Yan Ding (4 shared papers)Vincent Breton‐Provencher (2 shared papers)
- Journals
- Nature Neuroscience (2 papers)Cell Reports (2 papers)Computer Networks (1 paper)Computational Optimization and Applications (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ming Hu
33 papers receiving 286 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 93
- Computer Networks and Communications 84
- Cellular and Molecular Neuroscience 65
- Computational Mathematics 2
- Management Science and Operations Research 26
Countries citing papers authored by Ming Hu
This map shows the geographic impact of Ming Hu'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 Ming Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Hu more than expected).
Fields of papers citing papers by Ming Hu
This network shows the impact of papers produced by Ming Hu. 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 Ming Hu. The network helps show where Ming Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Hu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 66 | |
| 2 | 2015 | 37 | |
| 3 | 2019 | 30 | |
| 4 | 2023 | 24 | |
| 5 | 2013 | 22 | |
| 6 | 2021 | 19 | |
| 7 | 2017 | 15 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2010 | 7 | |
| 12 | 2011 | 6 | |
| 13 | 2025 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2005 | 3 | |
| 19 | 2007 | 3 | |
| 20 | 2023 | 2 |
About Ming Hu
Ming Hu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Information Systems, having authored 37 papers that have together received 300 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (5 papers), Caching and Content Delivery (4 papers), Wireless Communication Networks Research (4 papers), Advanced Wireless Network Optimization (3 papers), Economic theories and models (3 papers), Visual perception and processing mechanisms (3 papers) and Advanced MIMO Systems Optimization (3 papers). The work is most often cited by research in Cognitive Neuroscience (93 citations), Computer Networks and Communications (84 citations), Cellular and Molecular Neuroscience (65 citations), Computational Mathematics (2 citations) and Management Science and Operations Research (26 citations). Ming Hu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Junshan Zhang, Masao Fukushima, Valentin Dragoi, Mriganka Sur, Murat Yıldırım, Xiaolong Jiang, Yan Ding, Vincent Breton‐Provencher, Rajeev Rikhye and Klaus Obermayer. Their work appears in journals such as Nature Neuroscience, Cell Reports, Computer Networks, Computational Optimization and Applications and Journal of Neuroscience.
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.