Yu–Kai Wang

2.5k total citations
131 papers, 1.7k citations indexed

About

Yu–Kai Wang is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Yu–Kai Wang has authored 131 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Cognitive Neuroscience, 19 papers in Experimental and Cognitive Psychology and 18 papers in Artificial Intelligence. Recurrent topics in Yu–Kai Wang's work include EEG and Brain-Computer Interfaces (59 papers), Neural dynamics and brain function (19 papers) and Sleep and Work-Related Fatigue (14 papers). Yu–Kai Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (59 papers), Neural dynamics and brain function (19 papers) and Sleep and Work-Related Fatigue (14 papers). Yu–Kai Wang collaborates with scholars based in Australia, China and Taiwan. Yu–Kai Wang's co-authors include Chin‐Teng Lin, Tzyy‐Ping Jung, Chun‐Hsiang Chuang, Shi‐An Chen, Jung‐Tai King, Zehong Cao, Weiping Ding, Li‐Wei Ko, Yu‐Cheng Chang and Avinash Kumar Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Nano Energy.

In The Last Decade

Yu–Kai Wang

114 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu–Kai Wang Australia 24 890 346 213 211 209 131 1.7k
Junhua Li China 23 1.1k 1.3× 370 1.1× 255 1.2× 124 0.6× 179 0.9× 91 1.7k
Hongtao Wang China 25 1.2k 1.4× 574 1.7× 285 1.3× 135 0.6× 269 1.3× 71 1.9k
Weidong Dang China 20 807 0.9× 386 1.1× 220 1.0× 189 0.9× 153 0.7× 47 1.6k
Yuxuan Yang China 23 990 1.1× 575 1.7× 278 1.3× 266 1.3× 162 0.8× 47 2.1k
Dan Liu China 21 812 0.9× 148 0.4× 214 1.0× 146 0.7× 138 0.7× 114 1.9k
Jianhua Zhang China 22 1.2k 1.3× 884 2.6× 259 1.2× 414 2.0× 131 0.6× 89 2.2k
Muhammad Majid Pakistan 27 856 1.0× 567 1.6× 528 2.5× 294 1.4× 377 1.8× 109 2.5k
Jianfeng Hu China 23 770 0.9× 508 1.5× 311 1.5× 94 0.4× 47 0.2× 114 1.5k
Smith K. Khare India 26 1.2k 1.3× 434 1.3× 461 2.2× 263 1.2× 83 0.4× 43 1.8k
Theerawit Wilaiprasitporn Thailand 16 740 0.8× 178 0.5× 143 0.7× 76 0.4× 142 0.7× 56 1.1k

Countries citing papers authored by Yu–Kai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yu–Kai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu–Kai Wang. 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 Yu–Kai Wang. The network helps show where Yu–Kai Wang may publish in the future.

Co-authorship network of co-authors of Yu–Kai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu–Kai Wang. A scholar is included among the top collaborators of Yu–Kai Wang 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 Yu–Kai Wang. Yu–Kai Wang 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
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Chang, Yu‐Cheng, et al.. (2025). Contrastive Learning-Based Agent Modeling for Deep Reinforcement Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3719–3726.
3.
Braytee, Ali, Yu–Kai Wang, A. Baki Kocaballı, et al.. (2025). Emotionally Adaptive Virtual Health Assistants for Enhanced Social Presence and Trust. 1–7.
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Zhang, Xikun, Yang Su, He Zhang, et al.. (2024). Synergistic effect of GN-Ag NPs enhancing the efficient catalytic degradation of MB and CR by PDA@MMT composite hydrogel. International Journal of Biological Macromolecules. 279(Pt 4). 135468–135468. 5 indexed citations
7.
Wang, Yu–Kai, Hailong Liu, Xiaoqian Liu, et al.. (2024). Gels from self-confined emulsion droplets constructed by structurally modified polydimethylsiloxanes. Journal of Molecular Liquids. 399. 124366–124366.
8.
Chang, Yu‐Cheng, et al.. (2024). BELT: Bootstrapped EEG-to-Language Training by Natural Language Supervision. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3278–3288. 3 indexed citations
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Wang, Zhen, et al.. (2023). Cross task neural architecture search for EEG signal recognition. Neurocomputing. 545. 126260–126260. 8 indexed citations
11.
Chang, Yu‐Cheng, et al.. (2023). Speech2EEG: Leveraging Pretrained Speech Model for EEG Signal Recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2140–2153. 11 indexed citations
12.
Wang, Yu–Kai, et al.. (2023). Deep Learning-Assisted OFDM Channel Estimation and Signal Detection Technology. IEEE Communications Letters. 27(5). 1347–1351. 17 indexed citations
13.
Wang, Xiaofei, Hsiang‐Ting Chen, Yu–Kai Wang, & Chin‐Teng Lin. (2022). Implicit Robot Control Using Error-Related Potential-Based Brain–Computer Interface. IEEE Transactions on Cognitive and Developmental Systems. 15(1). 198–209. 11 indexed citations
14.
Kao, Yu‐Cheng, Hao‐Kai Peng, Yu–Kai Wang, et al.. (2022). Toward Highly Pure Ferroelectric Hf1–xZrxO2 Thin Films by Tailoring the Strain in an Unstable Thermodynamic System. ACS Applied Electronic Materials. 4(8). 3897–3908. 14 indexed citations
15.
Chang, Yu‐Cheng, Yu–Kai Wang, Nikhil R. Pal, & Chin‐Teng Lin. (2021). Exploring Covert States of Brain Dynamics via Fuzzy Inference Encoding. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 2464–2473. 6 indexed citations
16.
Wu, Dongrui, et al.. (2020). EEG-Based Drowsiness Estimation for Driving Safety Using Deep Q-Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 5(4). 583–594. 18 indexed citations
17.
Wang, Yu–Kai, et al.. (2020). Effectiveness and cerebral responses of multi-points acupuncture for primary insomnia: a preliminary randomized clinical trial and fMRI study. BMC Complementary Medicine and Therapies. 20(1). 254–254. 30 indexed citations
18.
Ding, Weiping, Danilo Pelusi, Dongrui Wu, et al.. (2019). Subject adaptation network for EEG data analysis. Applied Soft Computing. 84. 105689–105689. 28 indexed citations
19.
Lin, Chin‐Teng, Mukesh Prasad, Deepak Puthal, et al.. (2017). IoT-Based Wireless Polysomnography Intelligent System for Sleep Monitoring. IEEE Access. 6. 405–414. 63 indexed citations
20.
Wang, Yu–Kai, et al.. (2008). Nimodipine increases blood-brain barrier permeability after cerebral ischemia and reperfusion in rats. Chinese Journal of Neuromedicine. 7(11). 1106–1109. 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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