Russell W. Chan

629 total citations
39 papers, 436 citations indexed

About

Russell W. Chan is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Russell W. Chan has authored 39 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 16 papers in Electrical and Electronic Engineering and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Russell W. Chan's work include Electrical and Bioimpedance Tomography (15 papers), Neural dynamics and brain function (13 papers) and Photoreceptor and optogenetics research (9 papers). Russell W. Chan is often cited by papers focused on Electrical and Bioimpedance Tomography (15 papers), Neural dynamics and brain function (13 papers) and Photoreceptor and optogenetics research (9 papers). Russell W. Chan collaborates with scholars based in Hong Kong, United States and China. Russell W. Chan's co-authors include EX Wu, Alex T. L. Leong, YS Chan, Iris Y. Zhou, Celia M. Dong, Leon C. Ho, Kevin C. Chan, Peng Cao, Yilong Liu and Wing‐Ho Yung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and PLoS ONE.

In The Last Decade

Russell W. Chan

34 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Russell W. Chan Hong Kong 12 222 139 109 55 44 39 436
Kotaro Ishizu Japan 10 128 0.6× 96 0.7× 62 0.6× 34 0.6× 23 0.5× 27 406
Lu Tang China 15 372 1.7× 103 0.7× 62 0.6× 49 0.9× 24 0.5× 37 586
José C. Masdeu Spain 6 476 2.1× 173 1.2× 65 0.6× 50 0.9× 24 0.5× 8 662
Yan Tang China 14 299 1.3× 49 0.4× 111 1.0× 29 0.5× 17 0.4× 32 577
Sima Mofakham United States 11 529 2.4× 337 2.4× 53 0.5× 35 0.6× 21 0.5× 31 801
Alexandre Legros Canada 13 142 0.6× 116 0.8× 22 0.2× 50 0.9× 25 0.6× 48 434
Giovanni Piantoni United States 16 879 4.0× 171 1.2× 85 0.8× 25 0.5× 25 0.6× 24 1.0k
V. Diekmann Germany 13 302 1.4× 106 0.8× 65 0.6× 45 0.8× 18 0.4× 32 599

Countries citing papers authored by Russell W. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Russell W. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell W. Chan. 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 Russell W. Chan. The network helps show where Russell W. Chan may publish in the future.

Co-authorship network of co-authors of Russell W. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Russell W. Chan. A scholar is included among the top collaborators of Russell W. Chan 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 Russell W. Chan. Russell W. Chan 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.
2.
Li, Jia, Michael Lawson, Iris Y. Zhou, et al.. (2025). AI-enabled electrical impedance tomography (EIT) system for detecting and quantifying metabolic associated steatotic liver disease. PubMed. 2025. 1–4. 1 indexed citations
3.
Wei, E. P., Iris Y. Zhou, Man‐Fung Yuen, et al.. (2023). Portable electrical impedance tomography (EIT) system stages non-alcoholic fatty liver disease for potential screening and monitoring at home. PubMed. 2023. 1–4. 2 indexed citations
4.
Chan, Russell W., Yixi Xue, Ji Won Bang, et al.. (2023). Intraocular pressure elevation induces vascular and functional brain changes: A relative cerebrovascular reactivity resting-state fMRI Study. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
5.
Wang, Zuojun, Mehmood Nawaz, Sheheryar Khan, et al.. (2023). Cross modality generative learning framework for anatomical transitive Magnetic Resonance Imaging (MRI) from Electrical Impedance Tomography (EIT) image. Computerized Medical Imaging and Graphics. 108. 102272–102272. 7 indexed citations
6.
Xue, Yixi, et al.. (2023). Characterization of mouse cerebrovascular reactivity using task-free resting-state fMRI. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
7.
8.
Kwok, Wang Chun, et al.. (2022). Affordable, portable and self-administrable electrical impedance tomography enables global and regional lung function assessment. Scientific Reports. 12(1). 20613–20613. 15 indexed citations
9.
Yap, Desmond Y. H., et al.. (2022). Bio-conductivity characteristics of chronic kidney disease stages examined by portable frequency-difference electrical impedance tomography. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 3378–3381. 1 indexed citations
10.
Kwok, Wang Chun, et al.. (2022). Standalone electrical impedance tomography predicts spirometry indicators and enables regional lung assessment. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 3277–3280. 2 indexed citations
11.
Chan, Russell W., et al.. (2022). 3D EIT Enables Global and Regional Spirometric Lung Function Assessment. 1–6. 2 indexed citations
12.
Faiq, Muneeb A., Russell W. Chan, Carlos Parra, et al.. (2021). Entry of cerebrospinal fluid components into the anterior chamber of the eye. Investigative Ophthalmology & Visual Science. 62(11). 37–37. 2 indexed citations
13.
Edelman, Bradley J., et al.. (2021). High-sensitivity detection of optogenetically-induced neural activity with functional ultrasound imaging. NeuroImage. 242. 118434–118434. 11 indexed citations
14.
Leong, Alex T. L., et al.. (2019). Thalamic low frequency activity facilitates resting-state cortical interhemispheric MRI functional connectivity. NeuroImage. 201. 115985–115985. 16 indexed citations
15.
Chan, Russell W., Alex T. L. Leong, Leon C. Ho, et al.. (2017). Low-frequency hippocampal–cortical activity drives brain-wide resting-state functional MRI connectivity. Proceedings of the National Academy of Sciences. 114(33). E6972–E6981. 70 indexed citations
16.
Chan, Russell W., et al.. (2015). Structural and Functional Brain Remodeling during Pregnancy with Diffusion Tensor MRI and Resting-State Functional MRI. PLoS ONE. 10(12). e0144328–e0144328. 23 indexed citations
17.
Chan, Russell W., et al.. (2015). BOLD fMRI study of ultrahigh frequency encoding in the inferior colliculus. NeuroImage. 114. 427–437. 13 indexed citations
18.
Chan, Kevin C., et al.. (2014). In vivo visuotopic brain mapping with manganese-enhanced MRI and resting-state functional connectivity MRI. NeuroImage. 90. 235–245. 29 indexed citations
19.
Zhou, Iris Y., Russell W. Chan, Leon C. Ho, & EX Wu. (2013). Longitudinal metabolic changes in the hippocampus and thalamus of the maternal brain revealed by proton magnetic resonance spectroscopy. Neuroscience Letters. 553. 170–175. 7 indexed citations
20.
Zhou, Iris Y., Yu-Xiang Liang, Russell W. Chan, et al.. (2013). Brain resting-state functional MRI connectivity: Morphological foundation and plasticity. NeuroImage. 84. 1–10. 43 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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