Guo‐Rong Wu
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies 67
- Neural dynamics and brain function 22
- EEG and Brain-Computer Interfaces 10
- Neural and Behavioral Psychology Studies 10
- Neurology top 2%
- Transcranial Magnetic Stimulation Studies 20
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 10
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- Advanced MRI Techniques and Applications 16
- Advanced Neuroimaging Techniques and Applications 16
- Psychiatry and Mental health top 5%
- Co-authors
- Daniele MarinazzoChris BaekenWei LiaoHuafu ChenSebastiano StramagliaRudi De RaedtQiang XuJurong Ding
- Partner nations
- ChinaBelgiumNetherlands
In The Last Decade
Guo‐Rong Wu
92 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 124
- Cognitive Neuroscience 1.7k
- Neurology 522
- Experimental and Cognitive Psychology 388
- Radiology, Nuclear Medicine and Imaging 684
- Psychiatry and Mental health 418
Countries citing papers authored by Guo‐Rong Wu
This map shows the geographic impact of Guo‐Rong Wu'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 Guo‐Rong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐Rong Wu more than expected).
Fields of papers citing papers by Guo‐Rong Wu
This network shows the impact of papers produced by Guo‐Rong Wu. 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 Guo‐Rong Wu. The network helps show where Guo‐Rong Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guo‐Rong Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 23 | |
| 12 | 2019 | 30 | |
| 13 | 2017 | 22 | |
| 14 | 2016 | 32 | |
| 15 | 2016 | 44 | |
| 16 | 2014 | 227 | |
| 17 | 2014 | 15 | |
| 18 | 2013 | 20 | |
| 19 | 2012 | 58 | |
| 20 | Ship Safety Assessment Based on FMEA and Fuzzy Comprehensive Evaluation Methods | 2006 | 8 |
About Guo‐Rong Wu
Guo‐Rong Wu is a scholar working on Cognitive Neuroscience, Neurology and Experimental and Cognitive Psychology, having authored 96 papers that have together received 2.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (67 papers), Neural dynamics and brain function (22 papers), Transcranial Magnetic Stimulation Studies (20 papers), Advanced MRI Techniques and Applications (16 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers), EEG and Brain-Computer Interfaces (10 papers) and Neural and Behavioral Psychology Studies (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Neurology (522 citations) and Experimental and Cognitive Psychology (388 citations). Guo‐Rong Wu has collaborated with scholars based in China, Belgium and Netherlands. Frequent co-authors include Daniele Marinazzo, Chris Baeken, Wei Liao, Huafu Chen, Sebastiano Stramaglia, Rudi De Raedt, Qiang Xu, Jurong Ding, Luqing Wei and Gong‐Jun Ji. Their work appears in journals such as PLoS ONE, NeuroImage and Scientific Reports.
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.