Xiaorong Gao

15.0k total citations · 8 hit papers
266 papers, 10.9k citations indexed

About

Xiaorong Gao is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaorong Gao has authored 266 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 217 papers in Cognitive Neuroscience, 105 papers in Cellular and Molecular Neuroscience and 54 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaorong Gao's work include EEG and Brain-Computer Interfaces (198 papers), Neural dynamics and brain function (110 papers) and Neuroscience and Neural Engineering (103 papers). Xiaorong Gao is often cited by papers focused on EEG and Brain-Computer Interfaces (198 papers), Neural dynamics and brain function (110 papers) and Neuroscience and Neural Engineering (103 papers). Xiaorong Gao collaborates with scholars based in China, United States and Germany. Xiaorong Gao's co-authors include Shangkai Gao, Yijun Wang, Xiaogang Chen, Bo Hong, Wei Wu, Tzyy‐Ping Jung, Zhonglin Lin, Changshui Zhang, Guangyu Bin and Masaki Nakanishi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaorong Gao

256 papers receiving 10.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-speed spelling with a noninvasive brain–computer interface

2015 719 citations Xiaogang Chen, Yijun Wang et al. profile →
Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs

2007 676 citations Xiaorong Gao et al. profile →
An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method

2009 605 citations Xiaorong Gao, Shangkai Gao et al. Journal of Neural Engineering profile →
Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface

2015 572 citations Xiaogang Chen, Yijun Wang et al. Journal of Neural Engineering profile →
Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis

2017 561 citations Yijun Wang, Xiaogang Chen et al. profile →
Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs

2006 538 citations Xiaorong Gao et al. profile →
EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization

2022 361 citations Bingchuan Liu, Xiaorong Gao et al. IEEE Transactions on Neural Systems and Rehabilitation Engineering profile →
A Benchmark Dataset for SSVEP-Based Brain–Computer Interfaces

2016 338 citations Yijun Wang, Xiaogang Chen et al. IEEE Transactions on Neural Systems and Rehabilitation Engineering profile →

Peers

Xiaorong Gao

CMN

EEE

Shangkai Gao China

Theresa M. Vaughan United States

Fabien Lotte France

Kai Keng Ang Singapore

Alois Schlögl Austria

Dean J. Krusienski United States

Benjamin Blankertz Germany

Michael Tangermann Germany

Reinhold Scherer Austria

Marco Congedo France

Shangkai Gao China

Xiaorong Gao

8.0k ×0.8

4.7k ×0.8

CMN

2.1k ×0.8

EEE

1.8k ×0.9

1.6k ×0.8

Citations per year, relative to Xiaorong Gao Xiaorong Gao (= 1×) peers Shangkai Gao

Countries citing papers authored by Xiaorong Gao

Since Specialization

Citations

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

Fields of papers citing papers by Xiaorong Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaorong Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaorong Gao. A scholar is included among the top collaborators of Xiaorong Gao 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 Xiaorong Gao. Xiaorong Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wei, Qingguo, Chang Li, Yijun Wang, & Xiaorong Gao. (2025). Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network. Scientific Reports. 15(1). 365–365. 1 indexed citations

Dai, Bo, et al.. (2025). A reliability-enhanced Brain–Computer Interface via Mixture-of-Graphs-driven Information Fusion. Information Fusion. 120. 103069–103069. 1 indexed citations

Chen, Xiaogang, Yijun Wang, Yuewei Zhang, et al.. (2025). Connecting Minds and Devices: A Fifty-Year Review of Brain-Computer Interfaces. Chinese Journal of Electronics. 34(5). 1464–1474.

Pei, Weihua, et al.. (2025). Comparisons of stimulus paradigms for SSVEP-based brain–computer interfaces. Journal of Neural Engineering. 22(2). 26064–26064.

Pei, Weihua, et al.. (2024). High-Density Electroencephalogram Facilitates the Detection of Small Stimuli in Code-Modulated Visual Evoked Potential Brain–Computer Interfaces. Sensors. 24(11). 3521–3521. 5 indexed citations

Li, Yuhan, et al.. (2024). Dual-Alpha: a large EEG study for dual-frequency SSVEP brain–computer interface. GigaScience. 13. 3 indexed citations

Wei, Qingguo, et al.. (2024). Combing Multiple Visual Stimuli to Enhance the Performance of VEP-Based Biometrics. IEEE Transactions on Information Forensics and Security. 19. 7982–7993. 4 indexed citations

Pei, Weihua, et al.. (2024). Optimizing Visual Stimulation Paradigms for User-Friendly SSVEP-Based BCIs. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1090–1099. 7 indexed citations

Yan, Haowen, et al.. (2024). Wemap‐based direction model for individuals with limited spatial orientation skills. Transactions in GIS. 28(2). 111–129. 2 indexed citations

10.

Zhao, Huiqing, Yuan Miao, Yijun Wang, et al.. (2023). Optimization of ear electrodes for SSVEP-based BCI. Journal of Neural Engineering. 20(4). 46011–46011. 5 indexed citations

11.

Chen, Jingjing, Nanlin Shi, Chen Yang, et al.. (2023). A hybrid steady-state visual evoked response-based brain-computer interface with MEG and EEG. Expert Systems with Applications. 223. 119736–119736. 25 indexed citations

12.

Shi, Nanlin, et al.. (2023). Representative-Based Cold Start for Adaptive SSVEP-BCI. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1521–1531. 14 indexed citations

13.

Yan, Haowen, et al.. (2023). A similarity calculation model of road network and its application in map generalization quality evaluation. Spatial Cognition and Computation. 24(1). 6–31. 1 indexed citations

14.

Wang, Zhouheng, Nanlin Shi, Yingchao Zhang, et al.. (2023). Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces. Nature Communications. 14(1). 4213–4213. 70 indexed citations

15.

Yang, Chen, et al.. (2022). Multisymbol Time Division Coding for High-Frequency Steady-State Visual Evoked Potential-Based Brain-Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1693–1704. 9 indexed citations

16.

Yang, Chen, et al.. (2021). Implementing a calibration-free SSVEP-based BCI system with 160 targets. Journal of Neural Engineering. 18(4). 46094–46094. 79 indexed citations

17.

Liu, Bingchuan, Xiaogang Chen, Nanlin Shi, et al.. (2021). Improving the Performance of Individually Calibrated SSVEP-BCI by Task- Discriminant Component Analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 1998–2007. 122 indexed citations

18.

Chen, Xiaogang, Xiaoshan Huang, Yijun Wang, & Xiaorong Gao. (2020). Combination of Augmented Reality Based Brain- Computer Interface and Computer Vision for High-Level Control of a Robotic Arm. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(12). 3140–3147. 83 indexed citations

19.

Gao, Xiaorong, et al.. (2011). Development of WebGIS System based on Flex and REST Service. Yaogan jishu yu yingyong. 26(1). 123–128. 1 indexed citations

20.

Gao, Xiaorong. (2008). Steady state visual evoked potential measurement using a phase-locking method. Journal of Tsinghua University(Science and Technology). 1 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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