Pinglei Bao
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Face Recognition and Perception
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
Papers in
-
- Visual perception and processing mechanisms 12
- Neural dynamics and brain function 11
- Face Recognition and Perception 5
- EEG and Brain-Computer Interfaces 2
- Co-authors
- Doris Y. TsaoLiang SheMason McGillBosco S. TjanTianmiao HuaZhong‐Lin LuYifeng ZhouChang‐Bing Huang
- Journals
- Nature Communications (2 papers)Brain Research (2 papers)Journal of Neurophysiology (1 paper)Current Biology (1 paper)NeuroImage (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Pinglei Bao
17 papers receiving 523 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 447
- Sensory Systems 26
- Cellular and Molecular Neuroscience 95
- Computer Vision and Pattern Recognition 60
- Developmental Biology 6
Countries citing papers authored by Pinglei Bao
This map shows the geographic impact of Pinglei Bao'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 Pinglei Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pinglei Bao more than expected).
Fields of papers citing papers by Pinglei Bao
This network shows the impact of papers produced by Pinglei Bao. 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 Pinglei Bao. The network helps show where Pinglei Bao may publish in the future.
Co-authors
The 25 scholars most cited alongside Pinglei Bao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2020 | 195 | |
| 3 | Brain-inspired Robust Vision using Convolutional Neural Networks with Feedback | 2019 | 2 |
| 4 | 2018 | 27 | |
| 5 | 2018 | 10 | |
| 6 | 2017 | 40 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 14 | |
| 9 | 2016 | 10 | |
| 10 | 2015 | 14 | |
| 11 | 2014 | 21 | |
| 12 | 2014 | 39 | |
| 13 | 2012 | 6 | |
| 14 | 2011 | 8 | |
| 15 | 2010 | 117 | |
| 16 | 2005 | 10 | |
| 17 | 2005 | 6 |
About Pinglei Bao
Pinglei Bao is a scholar working on Cognitive Neuroscience, Behavioral Neuroscience, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 525 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (12 papers), Neural dynamics and brain function (11 papers), Face Recognition and Perception (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Pain Mechanisms and Treatments (2 papers), Visual Attention and Saliency Detection (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Ophthalmology and Visual Impairment Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (447 citations), Sensory Systems (26 citations), Cellular and Molecular Neuroscience (95 citations), Computer Vision and Pattern Recognition (60 citations) and Developmental Biology (6 citations). Pinglei Bao has collaborated with scholars based in United States and China. Frequent co-authors include Doris Y. Tsao, Liang She, Mason McGill, Bosco S. Tjan, Tianmiao Hua, Zhong‐Lin Lu, Yifeng Zhou, Chang‐Bing Huang, Zhenhua Wang and Le Chang. Their work appears in journals such as Nature Communications, Brain Research, Journal of Neurophysiology, Current Biology and NeuroImage.
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.