Chunqi Chang

3.3k total citations
159 papers, 2.2k citations indexed

About

Chunqi Chang is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Chunqi Chang has authored 159 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Signal Processing, 42 papers in Cognitive Neuroscience and 22 papers in Artificial Intelligence. Recurrent topics in Chunqi Chang's work include EEG and Brain-Computer Interfaces (32 papers), Blind Source Separation Techniques (28 papers) and Speech and Audio Processing (14 papers). Chunqi Chang is often cited by papers focused on EEG and Brain-Computer Interfaces (32 papers), Blind Source Separation Techniques (28 papers) and Speech and Audio Processing (14 papers). Chunqi Chang collaborates with scholars based in China, Hong Kong and United States. Chunqi Chang's co-authors include Weichao Xu, Jisheng Dai, P. C. W. Fung, Xu Bao, F.H.Y. Chan, Zhi Ding, Min Xu, Yeung Sam Hung, Nan Hu and Li Hai Tan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Chunqi Chang

149 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunqi Chang China 24 667 481 275 240 196 159 2.2k
Visar Berisha United States 24 316 0.5× 329 0.7× 106 0.4× 588 2.5× 55 0.3× 155 2.1k
Sylvie Oliffson Kamphorst Brazil 11 373 0.6× 581 1.2× 124 0.5× 355 1.5× 275 1.4× 19 3.4k
Richard A. Roberts United States 25 751 1.1× 492 1.0× 211 0.8× 147 0.6× 30 0.2× 102 3.2k
Michalis Zervakis Greece 23 350 0.5× 1.4k 2.9× 281 1.0× 277 1.2× 187 1.0× 160 3.6k
Ana Maria Tomé Portugal 21 326 0.5× 468 1.0× 92 0.3× 271 1.1× 91 0.5× 136 1.5k
Nathan Intrator Israel 36 324 0.5× 1.2k 2.4× 321 1.2× 1.0k 4.3× 251 1.3× 135 4.5k
Ángel de la Torre Spain 24 823 1.2× 313 0.7× 234 0.9× 810 3.4× 189 1.0× 105 2.1k
Trevor J. Cox United Kingdom 26 638 1.0× 818 1.7× 134 0.5× 206 0.9× 68 0.3× 156 2.8k
Gang Wang China 28 298 0.4× 1.2k 2.5× 259 0.9× 199 0.8× 131 0.7× 191 2.7k
Malek Adjouadi United States 31 365 0.5× 1.2k 2.5× 143 0.5× 399 1.7× 111 0.6× 263 3.0k

Countries citing papers authored by Chunqi Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chunqi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunqi Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chunqi Chang. A scholar is included among the top collaborators of Chunqi Chang 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 Chunqi Chang. Chunqi Chang 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
2.
Elazab, Ahmed, Changmiao Wang, M. Abdel-Aziz, et al.. (2024). Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions. Expert Systems with Applications. 255. 124780–124780. 39 indexed citations
3.
Gao, Junling, et al.. (2023). EEG-based investigation of effects of mindfulness meditation training on state and trait by deep learning and traditional machine learning. Frontiers in Human Neuroscience. 17. 1033420–1033420. 13 indexed citations
4.
Chang, Chunqi, et al.. (2023). Cryopreservable Through-Hole Arrays for the High-Throughput Three-Dimensional Smartphone-Based Cell Colorimetric Assay. ACS Sensors. 8(2). 543–554. 2 indexed citations
5.
Xu, Zhen, et al.. (2022). Biomaterials based growth factor delivery for brain regeneration after injury. SHILAP Revista de lepidopterología. 3. 352–360. 6 indexed citations
6.
Zhang, Dai, Ruotong Zhang, Liqin Zhou, Ke Zhou, & Chunqi Chang. (2022). The brain network underlying attentional blink predicts symptoms of attention deficit hyperactivity disorder in children. Cerebral Cortex. 33(6). 2761–2773. 3 indexed citations
7.
Yao, Min, Jie Fang, Jiaxin Liu, et al.. (2022). Modulation of the proteoglycan receptor PTPσ promotes white matter integrity and functional recovery after intracerebral hemorrhage stroke in mice. Journal of Neuroinflammation. 19(1). 207–207. 11 indexed citations
8.
Hasan, Ikram, Bing Guo, Jian Zhang, & Chunqi Chang. (2022). Advances in Antioxidant Nanomedicines for Imaging and Therapy of Alzheimer's Disease. Antioxidants and Redox Signaling. 40(13-15). 863–888. 18 indexed citations
9.
Xie, Sha, et al.. (2022). Enhancing Chinese preschoolers’ executive function via mindfulness training: An fNIRS study. Frontiers in Behavioral Neuroscience. 16. 961797–961797. 8 indexed citations
10.
Halkias, Georgios, et al.. (2021). Modulation of the Neurophysiological Response to Fearful and Stressful Stimuli Through Repetitive Religious Chanting. Journal of Visualized Experiments. 2 indexed citations
11.
Halkias, Georgios, et al.. (2021). Modulation of the Neurophysiological Response to Fearful and Stressful Stimuli Through Repetitive Religious Chanting. Journal of Visualized Experiments. 2 indexed citations
12.
Luo, Jiutong, et al.. (2021). The association between media multitasking and executive function in Chinese adolescents: Evidence from self-reported, behavioral and fNIRS data. Cyberpsychology Journal of Psychosocial Research on Cyberspace. 15(2). 13 indexed citations
13.
Abbas, Ghulam, Muhammad Usman Asad, Jason Gu, et al.. (2020). Multivariable Unconstrained Pattern Search Method for Optimizing Digital PID Controllers Applied to Isolated Forward Converter. Energies. 14(1). 77–77. 9 indexed citations
14.
15.
Lin, Nancy, Hung‐Jen Chen, Wei-Hua Hao, Hao-En Chueh, & Chunqi Chang. (2008). Mining strong positive and negative sequential patterns. WSEAS Transactions on Computers archive. 7(3). 119–124. 11 indexed citations
16.
Lin, Nancy, Wei-Hua Hao, Hung‐Jen Chen, Hao-En Chueh, & Chunqi Chang. (2008). Fast mining of closed sequential patterns. WSEAS Transactions on Computers archive. 7(4). 133–139. 3 indexed citations
17.
Lin, Nancy, Chunqi Chang, Hao-En Chueh, Hung‐Jen Chen, & Wei-Hua Hao. (2008). A deflected grid-based algorithm for clustering analysis. WSEAS Transactions on Computers archive. 7(4). 125–132. 14 indexed citations
18.
Lin, Nancy, et al.. (2008). An axis-shifted crossover-imaged clustering algorithm. WSEAS TRANSACTIONS on SYSTEMS archive. 7(3). 175–184. 1 indexed citations
19.
Lin, Nancy, et al.. (2007). An adaptable deflect and conquer clustering algorithm. 155–159. 4 indexed citations
20.
Lin, Nancy, Hung‐Jen Chen, Hao-En Chueh, Wei-Hua Hao, & Chunqi Chang. (2007). A fuzzy statistics based method for mining fuzzy correlation rules. WSEAS Transactions on Mathematics archive. 6(11). 852–858. 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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