Center for Excellence in Brain Science and Intelligence Technology
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Developmental Neuroscience top 5%
Papers in
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- Functional Brain Connectivity Studies 216
- Memory and Neural Mechanisms 119
- Neural dynamics and brain function 115
- Visual perception and processing mechanisms 114
- Journals
- Neuroscience Bulletin (122 papers)Nature Communications (107 papers)Cell Reports (75 papers)Neuron (60 papers)Pattern Recognition (53 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Center for Excellence in Brain Science and Intelligence Technology
3.8k papers receiving 126.7k citations
Peers
Comparison fields: 5 of 235
- Computer Vision and Pattern Recognition 26.5k
- Developmental Neuroscience 2.4k
- Cognitive Neuroscience 15.1k
- Cellular and Molecular Neuroscience 7.4k
- Neurology 3.4k
Countries citing scholars working at Center for Excellence in Brain Science and Intelligence Technology
This map shows the geographic impact of research produced by authors working at Center for Excellence in Brain Science and Intelligence Technology. 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 papers produced at Center for Excellence in Brain Science and Intelligence Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Center for Excellence in Brain Science and Intelligence Technology more than expected).
Fields of papers published by authors at Center for Excellence in Brain Science and Intelligence Technology
This network shows the impact of papers affiliated with Center for Excellence in Brain Science and Intelligence Technology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Center for Excellence in Brain Science and Intelligence Technology at the time of their publication.
About Center for Excellence in Brain Science and Intelligence Technology
In recent decades, authors affiliated with Center for Excellence in Brain Science and Intelligence Technology have published 4k papers, which have received a total of 126.8k indexed citations . Scholars at this organization have produced 792 papers in Cognitive Neuroscience, 105 papers in Developmental Neuroscience, 564 papers in Computer Vision and Pattern Recognition, 336 papers in Cellular and Molecular Neuroscience and 84 papers in Sensory Systems on the topics of Functional Brain Connectivity Studies (216 papers), Advanced Neural Network Applications (159 papers), Neuroscience and Neuropharmacology Research (151 papers), Schizophrenia research and treatment (139 papers), Memory and Neural Mechanisms (119 papers), Neural dynamics and brain function (115 papers), Visual perception and processing mechanisms (114 papers) and CRISPR and Genetic Engineering (104 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (26.5k citations), Developmental Neuroscience (2.4k citations), Cognitive Neuroscience (15.1k citations), Cellular and Molecular Neuroscience (7.4k citations) and Neurology (3.4k citations). Authors at Center for Excellence in Brain Science and Intelligence Technology collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including Neuroscience Bulletin, Nature Communications, Cell Reports, Neuron and Pattern Recognition. Some of Center for Excellence in Brain Science and Intelligence Technology's most productive authors include Kaiqi Huang, Jian Cheng, Liang Wang, Shiguang Shan, Xilin Chen, Yifan Zhang, Hanqing Lu, Tieniu Tan, Lei Shi and Ran He.
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.