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 Spain. John Q. Gan's co-authors include C.J. Harris, Shang‐Ming Zhou, Huosheng Hu, Chun Sing Louis Tsui, Francisco Sepulveda, 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

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Optimization of water supply parameters for enhanced thermal uniformity in aquaculture ponds under varied working conditions: An experimental study 2024 ·Applied Thermal Engineering ·Yu Zhang, Hailin Zhang, Juan Wu, (unknown), (unknown), Zhongbin Zhang, (unknown), John Q. Gan, (unknown), Xiaolin Wang	0
2	miR-130b-3p involved in the pathogenesis of age-related hearing loss via targeting PPARγ and autophagy 2024 ·Hearing Research ·Juhong Zhang, (unknown), (unknown), John Q. Gan, Hai Li, (unknown), Guijun Yang, (unknown), Yong Tang, Wei Yuan	3
3	QAIE: LLM-based Quantity Augmentation and Information Enhancement for few-shot Aspect-Based Sentiment Analysis 2024 ·Information Processing & Management ·Hengyang Lu, Tianci Liu, Rui Cong, Jun Yang, John Q. Gan, Wei Fang, Xiao‐Jun Wu	11
4	Leveraging AI and patient metadata to develop a novel risk score for skin cancer detection 2024 ·Scientific Reports ·(unknown), Gordon Wishart, (unknown), Per Hall, Alba García Seco de Herrera, John Q. Gan, Haider Raza	2
5	Brain connectivity patterns derived from aging-related alterations in dynamic brain functional networks and their potential as features for brain age classification 2024 ·Journal of Neural Engineering ·(unknown), (unknown), Lingyun Gu, John Q. Gan, Haixian Wang	1
6	Unlocking the Potential of Patient Metadata for Skin Cancer Detection: An AI Framework 2024 ·(unknown), Gordon Wishart, (unknown), Per Hall, (unknown), John Q. Gan, Haider Raza	0
7	Recognition of unilateral lower limb movement based on EEG signals with ERP-PCA analysis 2023 ·Neuroscience Letters ·Lingyun Gu, Jiuchuan Jiang, (unknown), John Q. Gan, Haixian Wang	9
8	Are the preoperative albumin levels and the albumin to fibrinogen ratio the risk factors for acute infection after primary total joint arthroplasty? 2023 ·Frontiers in Surgery ·(unknown), Hong Xu, Jinwei Xie, Duan Wang, John Q. Gan, Zongke Zhou	3
9	Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest 2023 ·Medical & Biological Engineering & Computing ·(unknown), Rong Rong, John Q. Gan, (unknown), Haixian Wang, Xiaoyun Wang	2
10	EEG source‐space synchrostate transitions and Markov modeling in the math‐gifted brain during a long‐chain reasoning task 2020 ·Human Brain Mapping ·(unknown), John Q. Gan, (unknown), (unknown), Haixian Wang	7
11	Differential recruitment of brain networks in single-digit addition and multiplication: Evidence from EEG oscillations in theta and lower alpha bands 2018 ·International Journal of Psychophysiology ·Lihan Wang, John Q. Gan, Li Zhang, Haixian Wang	7
12	Motor imagery and mental fatigue: inter-relationship and EEG based estimation 2018 ·Journal of Computational Neuroscience ·(unknown), Shyamanta M. Hazarika, John Q. Gan	48
13	Prediction of the 2017 French election based on Twitter data analysis 2017 ·Lei Wang, John Q. Gan	37
14	An experimental investigation on PCA based on cosine similarity and correlation for text feature dimensionality reduction 2015 ·(unknown), John Q. Gan	7
15	Identification and Control Method of Peanut Common above Ground Pests 2014 ·John Q. Gan	1
16	Localisation of cognitive tasks used in EEG-based BCIs 2010 ·Clinical Neurophysiology ·Matthew Dyson, Francisco Sepulveda, John Q. Gan	17
17	Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling 2009 ·Neural Networks ·Ji Won Yoon, Stephen Roberts, Matthew Dyson, John Q. Gan	17
18	Adaptive modelling, estimation and fusion from data: a neurofuzzy approach 2002 ·CentAUR (University of Reading) ·C.J. Harris, Xia Hong, John Q. Gan	68
19	Neurofuzzy state estimators using a modified ASMOD and Kalman filter algorithm 1999 ·ePrints Soton (University of Southampton) ·John Q. Gan, C.J. Harris	11
20	Fuzzy set based initial placement for IC layout 1990 ·European Design Automation Conference ·M. Razaz, John Q. Gan	10

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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