John Q. Gan

4.3k total citations
148 papers, 3.0k citations indexed

About

John Q. Gan is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Signal Processing. According to data from OpenAlex, John Q. Gan has authored 148 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cognitive Neuroscience, 58 papers in Artificial Intelligence and 33 papers in Signal Processing. Recurrent topics in John Q. Gan's work include EEG and Brain-Computer Interfaces (55 papers), Neural Networks and Applications (40 papers) and Neural dynamics and brain function (33 papers). John Q. Gan is often cited by papers focused on EEG and Brain-Computer Interfaces (55 papers), Neural Networks and Applications (40 papers) and Neural dynamics and brain function (33 papers). John Q. Gan collaborates with scholars based in United Kingdom, China and India. John Q. Gan's co-authors include C.J. Harris, Shang‐Ming Zhou, Huosheng Hu, Francisco Sepulveda, Chun Sing Louis Tsui, Bashar Hasan, Xia Hong, Shyamanta M. Hazarika, Julio Ortega and Haixian Wang and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

John Q. Gan

139 papers receiving 2.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Q. Gan 1.1k 1.1k 586 412 366 148 3.0k
Zehong Cao 986 0.9× 1.0k 1.0× 407 0.7× 184 0.4× 237 0.6× 118 3.4k
Sai Ho Ling 703 0.6× 1.5k 1.4× 621 1.1× 124 0.3× 779 2.1× 214 4.5k
Jost Tobias Springenberg 2.0k 1.8× 2.0k 1.8× 276 0.5× 628 1.5× 660 1.8× 30 5.4k
Wadood Abdul 574 0.5× 358 0.3× 399 0.7× 225 0.5× 930 2.5× 90 2.6k
Mansour Alsulaiman 1.5k 1.3× 1.4k 1.3× 214 0.4× 564 1.4× 587 1.6× 100 4.5k
Girijesh Prasad 3.0k 2.7× 953 0.9× 640 1.1× 1.2k 3.0× 754 2.1× 200 5.0k
Alain Rakotomamonjy 1.8k 1.6× 1.2k 1.1× 182 0.3× 703 1.7× 545 1.5× 63 4.5k
Nazmul Siddique 382 0.3× 864 0.8× 339 0.6× 135 0.3× 359 1.0× 127 2.9k
Chu Kiong Loo 424 0.4× 1.1k 1.0× 440 0.8× 112 0.3× 735 2.0× 254 3.3k
Rui Yang 434 0.4× 409 0.4× 826 1.4× 102 0.2× 385 1.1× 158 2.6k

Countries citing papers authored by John Q. Gan

Since Specialization
Citations

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

Fields of papers citing papers by John Q. Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Q. Gan. 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 John Q. Gan. The network helps show where John Q. Gan may publish in the future.

Co-authorship network of co-authors of John Q. Gan

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

All Works

20 of 20 papers shown
1.
Zhang, Juhong, John Q. Gan, Hai Li, et al.. (2024). miR-130b-3p involved in the pathogenesis of age-related hearing loss via targeting PPARγ and autophagy. Hearing Research. 449. 109029–109029. 3 indexed citations
2.
Zhang, Yu, Hailin Zhang, Juan Wu, et al.. (2024). Optimization of water supply parameters for enhanced thermal uniformity in aquaculture ponds under varied working conditions: An experimental study. Applied Thermal Engineering. 257. 124377–124377.
3.
Lu, Hengyang, Tianci Liu, Rui Cong, et al.. (2024). QAIE: LLM-based Quantity Augmentation and Information Enhancement for few-shot Aspect-Based Sentiment Analysis. Information Processing & Management. 62(1). 103917–103917. 11 indexed citations
4.
Wishart, Gordon, et al.. (2024). Leveraging AI and patient metadata to develop a novel risk score for skin cancer detection. Scientific Reports. 14(1). 20842–20842. 2 indexed citations
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Gu, Lingyun, et al.. (2023). Recognition of unilateral lower limb movement based on EEG signals with ERP-PCA analysis. Neuroscience Letters. 800. 137133–137133. 9 indexed citations
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Hung, Shih‐Kai & John Q. Gan. (2021). Small facial image dataset augmentation using conditional GANs based on incomplete edge feature input. PeerJ Computer Science. 7. e760–e760. 3 indexed citations
10.
Gan, John Q., et al.. (2020). EEG source‐space synchrostate transitions and Markov modeling in the math‐gifted brain during a long‐chain reasoning task. Human Brain Mapping. 41(13). 3620–3636. 7 indexed citations
11.
Hazarika, Shyamanta M., et al.. (2019). Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue. Journal of Neural Engineering. 17(1). 16020–16020. 25 indexed citations
12.
Wang, Lei & John Q. Gan. (2017). Prediction of the 2017 French election based on Twitter data analysis. 89–93. 37 indexed citations
13.
Zhang, Li, John Q. Gan, Wenming Zheng, & Haixian Wang. (2017). Spatiotemporal Phase Synchronization in Adaptive Reconfiguration from Action Observation Network to Mentalizing Network for Understanding Other’s Action Intention. Brain Topography. 31(3). 447–467. 9 indexed citations
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Gan, John Q.. (2014). Identification and Control Method of Peanut Common above Ground Pests. 1 indexed citations
16.
Tsui, Chun Sing Louis, John Q. Gan, & Stephen Roberts. (2009). A self-paced brain–computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training. Medical & Biological Engineering & Computing. 47(3). 257–265. 66 indexed citations
17.
Calderón, Carlos, et al.. (2005). An analysis of the inverse kinematics for a 5-DOF manipulator. International Journal of Automation and Computing. 2(2). 114–124. 54 indexed citations
18.
Harris, C.J., Xia Hong, & John Q. Gan. (2002). Adaptive modelling, estimation and fusion from data: a neurofuzzy approach. CentAUR (University of Reading). 68 indexed citations
19.
Gan, John Q. & C.J. Harris. (1999). Neurofuzzy state estimators using a modified ASMOD and Kalman filter algorithm. ePrints Soton (University of Southampton). 11 indexed citations
20.
Razaz, M. & John Q. Gan. (1990). Fuzzy set based initial placement for IC layout. European Design Automation Conference. 655–659. 10 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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