Zehong Cao

4.9k total citations · 1 hit paper
118 papers, 3.4k citations indexed

About

Zehong Cao is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Zehong Cao has authored 118 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 36 papers in Artificial Intelligence and 15 papers in Control and Systems Engineering. Recurrent topics in Zehong Cao's work include EEG and Brain-Computer Interfaces (35 papers), Functional Brain Connectivity Studies (13 papers) and Multi-Criteria Decision Making (12 papers). Zehong Cao is often cited by papers focused on EEG and Brain-Computer Interfaces (35 papers), Functional Brain Connectivity Studies (13 papers) and Multi-Criteria Decision Making (12 papers). Zehong Cao collaborates with scholars based in Australia, China and Taiwan. Zehong Cao's co-authors include Chin‐Teng Lin, Weiping Ding, Fuyuan Xiao, Alireza Jolfaei, Peng Xu, Zhibin Li, Fuyuan Xiao, Shuu‐Jiun Wang, Chun‐Hsiang Chuang and Changzhong Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Zehong Cao

109 papers receiving 3.3k citations

Hit Papers

1 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.

EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies \n on Signal Sensing Technologies and Computational Intelligence Approaches and \n their Applications

2021 227 citations Xiaotong Gu, Zehong Cao et al. UTS ePRESS (University of Technology Sydney) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zehong Cao Australia	36	1.0k	986	575	544	412	118	3.4k
Sai Ho Ling Australia	34	1.5k 1.4×	703 0.7×	171 0.3×	222 0.4×	459 1.1×	214	4.5k
Atulya K. Nagar United Kingdom	27	1.4k 1.4×	437 0.4×	128 0.2×	527 1.0×	691 1.7×	338	3.7k
W. Art Chaovalitwongse United States	32	717 0.7×	1.1k 1.1×	157 0.3×	238 0.4×	237 0.6×	118	3.4k
T.M. McGinnity United Kingdom	37	1.6k 1.6×	1.9k 1.9×	519 0.9×	126 0.2×	566 1.4×	308	5.5k
Mahdi Jalili Australia	46	1.3k 1.3×	904 0.9×	221 0.4×	146 0.3×	440 1.1×	278	5.9k
Nazmul Siddique United Kingdom	24	864 0.8×	382 0.4×	112 0.2×	196 0.4×	483 1.2×	127	2.9k
Amit Konar India	40	3.5k 3.4×	1.2k 1.2×	246 0.4×	1.5k 2.7×	1.3k 3.2×	366	6.9k
Jost Tobias Springenberg Germany	20	2.0k 1.9×	2.0k 2.1×	146 0.3×	235 0.4×	1.5k 3.6×	30	5.4k
Doina Precup Canada	34	4.0k 3.9×	434 0.4×	671 1.2×	786 1.4×	970 2.4×	194	6.6k
Ahamad Tajudin Khader Malaysia	27	756 0.7×	241 0.2×	352 0.6×	211 0.4×	205 0.5×	65	2.1k

Countries citing papers authored by Zehong Cao

Since Specialization

Citations

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

Fields of papers citing papers by Zehong Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zehong Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Zehong Cao. A scholar is included among the top collaborators of Zehong Cao 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 Zehong Cao. Zehong Cao 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

Pratama, Mahardhika, et al.. (2024). Few-shot class incremental learning via robust transformer approach. Information Sciences. 675. 120751–120751. 2 indexed citations

Yi, Chanlin, Jiamin Zhang, Wanjun Chen, et al.. (2024). Nonparametric Dynamic Granger Causality based on Multi-Space Spectrum Fusion for Time-varying Directed Brain Network Construction. IEEE Journal of Biomedical and Health Informatics. PP. 1–10. 1 indexed citations

Cao, Zehong, et al.. (2024). SATF: A Scalable Attentive Transfer Framework for Efficient Multiagent Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6627–6641. 2 indexed citations

Li, Cunbo, Tian Tang, Lei Yang, et al.. (2024). An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7130–7144. 28 indexed citations

Xiao, Fuyuan, et al.. (2023). Multi-channel EEG signals classification via CNN and multi-head self-attention on evidence theory. Information Sciences. 642. 119107–119107. 19 indexed citations

Xiao, Fuyuan, et al.. (2023). Higher Order Fractal Belief Rényi Divergence With Its Applications in Pattern Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14709–14726. 38 indexed citations

Xiao, Fuyuan, et al.. (2023). Fractal Belief Rényi Divergence With its Applications in Pattern Classification. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8297–8312. 24 indexed citations

Li, Peiyang, Cunbo Li, Yajing Si, et al.. (2022). L1-norm based time-varying brain neural network and its application to dynamic analysis for motor imagery. Journal of Neural Engineering. 19(2). 26019–26019. 11 indexed citations

Li, Fali, Yajing Si, Chunli Chen, et al.. (2022). The different brain areas occupied for integrating information of hierarchical linguistic units: a study based on EEG and TMS. Cerebral Cortex. 33(8). 4740–4751. 5 indexed citations

10.

Li, Fali, Hui Zheng, Lin Jiang, et al.. (2021). Identification of the General Anesthesia Induced Loss of Consciousness by Cross Fuzzy Entropy-Based Brain Network. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 2281–2291. 10 indexed citations

11.

Gu, Xiaotong, Zehong Cao, Alireza Jolfaei, et al.. (2021). EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies \n on Signal Sensing Technologies and Computational Intelligence Approaches and \n their Applications. UTS ePRESS (University of Technology Sydney). 227 indexed citations breakdown →

12.

Li, Peiyang, Lin Jiang, Chunli Chen, et al.. (2021). A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging. IEEE Transactions on Medical Imaging. 40(12). 3787–3800. 35 indexed citations

13.

Wang, Changzhong, Yang Huang, Weiping Ding, & Zehong Cao. (2020). Attribute reduction with fuzzy rough self-information measures. Information Sciences. 549. 68–86. 137 indexed citations

14.

Xiao, Fuyuan, Zehong Cao, & Alireza Jolfaei. (2020). A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis. IEEE Transactions on Fuzzy Systems. 29(1). 186–197. 125 indexed citations

15.

Cao, Zehong, et al.. (2020). Hierarchical and Non-Hierarchical Multi-Agent Interactions Based on Unity Reinforcement Learning. UTAS Research Repository. 2095–2097. 4 indexed citations

16.

Lin, Chin‐Teng, Yuting Liu, Chun‐Hsiang Chuang, et al.. (2019). An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG.. arXiv (Cornell University). 1 indexed citations

17.

Yang, Zaoli, et al.. (2019). A Decision Method for Online Purchases Considering Dynamic Information Preference Based on Sentiment Orientation Classification and Discrete DIFWA Operators. IEEE Access. 7. 77008–77026. 21 indexed citations

18.

Liu, Zeyi, Fuyuan Xiao, Chin‐Teng Lin, Byeong Ho Kang, & Zehong Cao. (2019). A Generalized Golden Rule Representative Value for Multiple-Criteria Decision Analysis. IEEE Transactions on Systems Man and Cybernetics Systems. 51(5). 3193–3204. 20 indexed citations

19.

Cao, Zehong, Yu‐Cheng Chang, Mukesh Prasad, M. Tanveer, & Chin‐Teng Lin. (2019). Tensor decomposition for EEG signals retrieval. UTAS Research Repository. 1 indexed citations

20.

Li, Qi, et al.. (2019). A Semantic Collaboration Method Based on Uniform Knowledge Graph. IEEE Internet of Things Journal. 7(5). 4473–4484. 12 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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