Chang’an A. Zhan

514 total citations
30 papers, 359 citations indexed

About

Chang’an A. Zhan is a scholar working on Cognitive Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chang’an A. Zhan has authored 30 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 6 papers in Signal Processing and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chang’an A. Zhan's work include EEG and Brain-Computer Interfaces (10 papers), Neural dynamics and brain function (9 papers) and Visual perception and processing mechanisms (6 papers). Chang’an A. Zhan is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Neural dynamics and brain function (9 papers) and Visual perception and processing mechanisms (6 papers). Chang’an A. Zhan collaborates with scholars based in China, Canada and United Kingdom. Chang’an A. Zhan's co-authors include Feng Yang, Curtis L. Baker, Yujiao Tang, Jackson E. T. Smith, Erik P. Cook, Timothy Ledgeway, Yuning Song, Aaron Johnson, Bei Zhang and Lin Lin and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Journal of Neurophysiology.

In The Last Decade

Chang’an A. Zhan

29 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang’an A. Zhan China 13 207 59 56 47 45 30 359
Z. Wang Canada 12 151 0.7× 51 0.9× 43 0.8× 35 0.7× 22 0.5× 22 451
David W. Clifton Bulgaria 2 133 0.6× 46 0.8× 52 0.9× 115 2.4× 57 1.3× 3 424
Bei Wang China 11 198 1.0× 48 0.8× 110 2.0× 52 1.1× 30 0.7× 48 454
Tamanna T. K. Munia United States 9 111 0.5× 19 0.3× 36 0.6× 91 1.9× 26 0.6× 25 353
Nicola Michielli Italy 6 249 1.2× 21 0.4× 109 1.9× 68 1.4× 59 1.3× 12 445
Kun‐Han Lu United States 13 427 2.1× 66 1.1× 33 0.6× 32 0.7× 39 0.9× 22 664
Jacquelyn Klehm United States 10 363 1.8× 168 2.8× 23 0.4× 33 0.7× 63 1.4× 10 577
Na Pang China 12 62 0.3× 40 0.7× 59 1.1× 133 2.8× 12 0.3× 38 402
Valia Rodrı́guez Cuba 11 446 2.2× 42 0.7× 35 0.6× 9 0.2× 16 0.4× 27 556
Yeung Sam Hung Hong Kong 12 197 1.0× 33 0.6× 28 0.5× 11 0.2× 64 1.4× 34 509

Countries citing papers authored by Chang’an A. Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Chang’an A. Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang’an A. Zhan. 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 Chang’an A. Zhan. The network helps show where Chang’an A. Zhan may publish in the future.

Co-authorship network of co-authors of Chang’an A. Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Chang’an A. Zhan. A scholar is included among the top collaborators of Chang’an A. Zhan 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 Chang’an A. Zhan. Chang’an A. Zhan 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.
Mei, Peng, Hamid Reza Karimi, He‐Hui Xie, et al.. (2025). Driving style classification and recognition methods for connected vehicle control in intelligent transportation systems: A review. ISA Transactions. 158. 167–183. 3 indexed citations
2.
Zhan, Chang’an A., et al.. (2025). Proximal policy optimization with reward-based prioritization. Expert Systems with Applications. 283. 127659–127659. 3 indexed citations
4.
Zhan, Chang’an A., et al.. (2024). EEG power spectra parameterization and adaptive channel selection towards semi-supervised seizure prediction. Computers in Biology and Medicine. 175. 108510–108510. 10 indexed citations
5.
Lan, Yue, et al.. (2024). Individualized music induces theta-gamma phase-amplitude coupling in patients with disorders of consciousness. Frontiers in Neuroscience. 18. 1395627–1395627. 2 indexed citations
6.
Cui, Yue, et al.. (2024). Alpha anteriorization and theta posteriorization during deep sleep. Journal of Neuroscience Research. 102(4). e25325–e25325. 3 indexed citations
7.
Yang, Feng, et al.. (2023). Continuous non-invasive arterial blood pressure monitoring with photoplethysmography via SE-MSResUNet network. Biomedical Signal Processing and Control. 90. 105862–105862. 5 indexed citations
8.
Wang, Jun, et al.. (2023). Parameterized aperiodic and periodic components of single-channel EEG enables reliable seizure detection. Physical and Engineering Sciences in Medicine. 47(1). 31–47. 4 indexed citations
9.
Lu, Shan, Xiaoya Fan, & Chang’an A. Zhan. (2022). Classification of the Stress Levels Based on Heartbeat Evoked Potentials – a Pilot Study. 263–267. 1 indexed citations
10.
Tang, Yujiao, et al.. (2019). A Multi-Stage Framework With Context Information Fusion Structure For Skin Lesion Segmentation. 1407–1410. 31 indexed citations
11.
Yang, Jing, et al.. (2017). The Edge Detectors Suitable for Retinal OCT Image Segmentation. Journal of Healthcare Engineering. 2017. 1–13. 16 indexed citations
12.
Zhan, Chang’an A., et al.. (2015). Comparison of Auditory Middle-Latency Responses From Two Deconvolution Methods at 40 Hz. IEEE Transactions on Biomedical Engineering. 63(6). 1157–1166. 4 indexed citations
13.
Smith, Jackson E. T., et al.. (2015). Dynamics of the functional link between area MT LFPs and motion detection. Journal of Neurophysiology. 114(1). 80–98. 10 indexed citations
14.
Lin, Lin, et al.. (2013). Continuous- and Discrete-Time Stimulus Sequences for High Stimulus Rate Paradigm in Evoked Potential Studies. Computational and Mathematical Methods in Medicine. 2013. 1–10. 4 indexed citations
15.
Wang, Tao, Chang’an A. Zhan, Gang Yan, Jorge Bohórquez, & Özcan Özdamar. (2013). A preliminary investigation of the deconvolution of auditory evoked potentials using a session jittering paradigm. Journal of Neural Engineering. 10(2). 26023–26023. 10 indexed citations
16.
Zhan, Chang’an A., Lin Lin, & Tao Wang. (2011). A Stakeholder Analysis for Telemedicine in China. 8. 492–495. 4 indexed citations
17.
Smith, Jackson E. T., Chang’an A. Zhan, & Erik P. Cook. (2011). The Functional Link between Area MT Neural Fluctuations and Detection of a Brief Motion Stimulus. Journal of Neuroscience. 31(38). 13458–13468. 25 indexed citations
18.
Zhan, Chang’an A., et al.. (2007). Critical Spatial Frequencies for Illusory Contour Processing in Early Visual Cortex. Cerebral Cortex. 18(5). 1029–1041. 12 indexed citations
19.
Ledgeway, Timothy, Chang’an A. Zhan, Aaron Johnson, Yuning Song, & Curtis L. Baker. (2005). The direction-selective contrast response of area 18 neurons is different for first- and second-order motion. Visual Neuroscience. 22(1). 87–99. 26 indexed citations
20.
Zhan, Chang’an A., et al.. (2005). Contrast response in visual cortex: Quantitative assessment with intrinsic optical signal imaging and neural firing. NeuroImage. 26(2). 330–346. 15 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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