Zijing Mao

857 total citations
17 papers, 615 citations indexed

About

Zijing Mao is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Zijing Mao has authored 17 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Zijing Mao's work include EEG and Brain-Computer Interfaces (10 papers), ECG Monitoring and Analysis (3 papers) and Neuroscience and Neural Engineering (3 papers). Zijing Mao is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), ECG Monitoring and Analysis (3 papers) and Neuroscience and Neural Engineering (3 papers). Zijing Mao collaborates with scholars based in United States, China and Japan. Zijing Mao's co-authors include Yufei Huang, Mehdi Hajinoroozi, Jingxia Chen, Chin‐Teng Lin, Tzyy‐Ping Jung, Yushan Zhang, Dongmei Jiang, Wan X. Yao, Wanxiang Yao and Daniel J. Pack and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and Multimedia Tools and Applications.

In The Last Decade

Zijing Mao

15 papers receiving 606 citations

Peers

Zijing Mao
Chih-Feng Chao Taiwan
Agustina Garcés Correa Argentina
Rana Fayyaz Ahmad Malaysia
Andrzej Majkowski Poland
Yuliang Ma China
Ataollah Abbasi Iran
Marcin Kołodziej Poland
Lorena Orosco Argentina
Qinglin Zhao China
Ruei-Cheng Wu Taiwan
Chih-Feng Chao Taiwan
Zijing Mao
Citations per year, relative to Zijing Mao Zijing Mao (= 1×) peers Chih-Feng Chao

Countries citing papers authored by Zijing Mao

Since Specialization
Citations

This map shows the geographic impact of Zijing Mao'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 Zijing Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zijing Mao more than expected).

Fields of papers citing papers by Zijing Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zijing Mao. 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 Zijing Mao. The network helps show where Zijing Mao may publish in the future.

Co-authorship network of co-authors of Zijing Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Zijing Mao. A scholar is included among the top collaborators of Zijing Mao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zijing Mao. Zijing Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Liu, Chang, et al.. (2024). HyperOIS: A Comprehensive Optical Image Stabilization Solution for Modern Smartphones. IEEE Transactions on Consumer Electronics. 70(1). 696–703.
2.
Chen, Jingxia, et al.. (2019). Accurate EEG-Based Emotion Recognition on Combined Features Using Deep Convolutional Neural Networks. IEEE Access. 7. 44317–44328. 186 indexed citations
3.
Chen, Jingxia, Zijing Mao, Wanxiang Yao, & Yufei Huang. (2019). EEG-based biometric identification with convolutional neural network. Multimedia Tools and Applications. 79(15-16). 10655–10675. 55 indexed citations
4.
Chen, Jingxia, et al.. (2019). Feature Selection of Deep Learning Models for EEG-Based RSVP Target Detection. IEICE Transactions on Information and Systems. E102.D(4). 836–844. 8 indexed citations
5.
Zhang, Tinghe, Zijing Mao, Xiaojing Xu, et al.. (2018). Prediction of Human Performance Using Electroencephalography under Different Indoor Room Temperatures. Brain Sciences. 8(4). 74–74. 25 indexed citations
6.
7.
Zhang, Fuquan, et al.. (2017). Design of Chinese Natural Language in Fuzzy Boundary Determination Algorithm Based on Big Data.. J. Inf. Hiding Multim. Signal Process.. 8. 423–434.
8.
Mao, Zijing, et al.. (2017). Design of deep convolutional networks for prediction of image rapid serial visual presentation events. PubMed. 2017. 2035–2038. 7 indexed citations
9.
Mao, Zijing, Wan X. Yao, & Yufei Huang. (2017). EEG-based biometric identification with deep learning. 609–612. 70 indexed citations
10.
Zhang, Tinghe, Zijing Mao, Xiaojing Xu, et al.. (2017). Prediction of temperature induced office worker's performance during typing task using EEG. PubMed. 76. 1684–1687. 3 indexed citations
11.
Mao, Zijing, et al.. (2016). Idea Creation of Creative Computing Based on Embedding Features and Ontology. 1–6. 1 indexed citations
12.
Hajinoroozi, Mehdi, Zijing Mao, Tzyy‐Ping Jung, Chin‐Teng Lin, & Yufei Huang. (2016). EEG-based prediction of driver's cognitive performance by deep convolutional neural network. Signal Processing Image Communication. 47. 549–555. 163 indexed citations
13.
14.
Hajinoroozi, Mehdi, Zijing Mao, & Yufei Huang. (2015). Prediction of driver's drowsy and alert states from EEG signals with deep learning. 493–496. 43 indexed citations
15.
Mao, Zijing, et al.. (2014). BIMMER: a novel algorithm for detecting differential DNA methylation regions from MBDCap-seq data. BMC Bioinformatics. 15(S12). 51–56. 4 indexed citations
16.
Mao, Zijing, Vernon J. Lawhern, Li Deng, et al.. (2014). Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning. 520–524. 6 indexed citations
17.
Mao, Zijing, et al.. (2013). A Deep Learning method for classification of images RSVP events with EEG data. 33–36. 25 indexed citations

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.

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