Ge Dang

527 total citations
24 papers, 320 citations indexed

About

Ge Dang is a scholar working on Cognitive Neuroscience, Neurology and Neurology. According to data from OpenAlex, Ge Dang has authored 24 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 9 papers in Neurology and 5 papers in Neurology. Recurrent topics in Ge Dang's work include EEG and Brain-Computer Interfaces (7 papers), Functional Brain Connectivity Studies (7 papers) and Transcranial Magnetic Stimulation Studies (6 papers). Ge Dang is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Functional Brain Connectivity Studies (7 papers) and Transcranial Magnetic Stimulation Studies (6 papers). Ge Dang collaborates with scholars based in China, United States and Australia. Ge Dang's co-authors include Jinsheng Zeng, Gang Wu, Yicong Chen, Richard F. Keep, Guohua Xi, Ya Hua, Yuefan Yang, Fubing Ouyang, Xinran Chen and Yuhui Zhao and has published in prestigious journals such as PLoS ONE, Scientific Reports and Medicine.

In The Last Decade

Ge Dang

20 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Dang China 11 111 85 82 79 66 24 320
Zhenghui Sun China 10 127 1.1× 101 1.2× 59 0.7× 75 0.9× 59 0.9× 22 337
Mei-Ting Zhuang China 10 71 0.6× 72 0.8× 74 0.9× 113 1.4× 43 0.7× 17 387
Ewoud van Dijk Netherlands 6 69 0.6× 53 0.6× 74 0.9× 103 1.3× 20 0.3× 8 372
Babak Zamani Iran 12 261 2.4× 65 0.8× 98 1.2× 48 0.6× 74 1.1× 46 464
Shoko Deguchi Japan 11 106 1.0× 72 0.8× 67 0.8× 15 0.2× 58 0.9× 27 291
Zhentang Cao China 10 178 1.6× 82 1.0× 45 0.5× 71 0.9× 101 1.5× 16 351
Nihong Chen China 13 35 0.3× 50 0.6× 96 1.2× 236 3.0× 61 0.9× 37 447
Coleman Martin United States 12 211 1.9× 58 0.7× 122 1.5× 51 0.6× 47 0.7× 16 432
Zihan Chang China 10 184 1.7× 142 1.7× 68 0.8× 27 0.3× 98 1.5× 15 404
Zhi Geng China 11 37 0.3× 134 1.6× 85 1.0× 105 1.3× 136 2.1× 33 519

Countries citing papers authored by Ge Dang

Since Specialization
Citations

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

Fields of papers citing papers by Ge Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Dang. A scholar is included among the top collaborators of Ge Dang 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 Ge Dang. Ge Dang 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.
Xu, Zhao, Ge Dang, Kun Ma, et al.. (2025). Molecular-level insights into the secondary per-and poly-fluoroalkyl substance (PFAS) in durable water repellent fabric: Generation, properties, and adsorption mechanism. Colloids and Surfaces A Physicochemical and Engineering Aspects. 725. 137524–137524.
2.
Dang, Ge, Lin Zhu, Xue Shi, et al.. (2025). Are neurasthenia and depression the same disease entity? An electroencephalography study. BMC Psychiatry. 25(1). 44–44.
3.
Zhu, Lin, Min Cai, Xue Shi, et al.. (2025). Concurrent TMS-EEG to characterize cortical responses in the motor and prefrontal cortices in Parkinson's disease. Neurotherapeutics. 22(4). e00577–e00577.
4.
Zhu, Lin, Ge Dang, Xue Shi, et al.. (2023). Predicting response to repetitive transcranial magnetic stimulation in patients with chronic insomnia disorder using electroencephalography: A pilot study. Brain Research Bulletin. 206. 110851–110851. 8 indexed citations
5.
Zhu, Lin, Ge Dang, Wei Wu, et al.. (2023). Functional connectivity changes are correlated with sleep improvement in chronic insomnia patients after rTMS treatment. Frontiers in Neuroscience. 17. 1135995–1135995. 10 indexed citations
6.
Dang, Ge, et al.. (2023). Neuromyelitis optica spectrum disorder mimicking stroke: A case report and literature review. Journal of Neuroimmunology. 385. 578223–578223.
7.
Zhang, Sirui, Xiaolin Su, Ge Dang, et al.. (2023). Neuro-11: a new questionnaire for the assessment of somatic symptom disorder in general hospitals. General Psychiatry. 36(4). e101082–e101082. 3 indexed citations
8.
Cai, Min, Ge Dang, Xiaolin Su, et al.. (2021). Identifying Mild Cognitive Impairment in Parkinson’s Disease With Electroencephalogram Functional Connectivity. Frontiers in Aging Neuroscience. 13. 701499–701499. 14 indexed citations
9.
10.
Guo, Yi, Ge Dang, Brenton Hordacre, et al.. (2021). Repetitive Transcranial Magnetic Stimulation of the Dorsolateral Prefrontal Cortex Modulates Electroencephalographic Functional Connectivity in Alzheimer’s Disease. Frontiers in Aging Neuroscience. 13. 679585–679585. 17 indexed citations
11.
Zhu, Lin, Huixia Ren, Ge Dang, et al.. (2021). Classification of Cognitive Impairment and Healthy Controls Based on Transcranial Magnetic Stimulation Evoked Potentials. Frontiers in Aging Neuroscience. 13. 804384–804384. 6 indexed citations
12.
Dang, Ge, et al.. (2019). Roller Bearing Fault Diagnosis Based on Empirical Mode Decomposition and Targeting Feature Selection. IOP Conference Series Materials Science and Engineering. 630(1). 12023–12023. 2 indexed citations
13.
Zou, Liang, Xun Chen, Ge Dang, Yi Guo, & Z. Jane Wang. (2019). Removing Muscle Artifacts From EEG Data via Underdetermined Joint Blind Source Separation: A Simulation Study. IEEE Transactions on Circuits & Systems II Express Briefs. 67(1). 187–191. 22 indexed citations
14.
Ouyang, Fubing, Ying Wang, Weixian Huang, et al.. (2018). Association between socioeconomic status and post-stroke functional outcome in deprived rural southern China: a population-based study. BMC Neurology. 18(1). 12–12. 21 indexed citations
15.
16.
Dang, Ge, Xinran Chen, Yicong Chen, et al.. (2016). Dynamic secondary degeneration in the spinal cord and ventral root after a focal cerebral infarction among hypertensive rats. Scientific Reports. 6(1). 22655–22655. 25 indexed citations
17.
Dang, Ge, Yuefan Yang, Gang Wu, et al.. (2016). Early Erythrolysis in the Hematoma After Experimental Intracerebral Hemorrhage. Translational Stroke Research. 8(2). 174–182. 85 indexed citations
18.
Chen, Yicong, Yuhui Zhao, Ge Dang, et al.. (2015). Stroke Event Rates and the Optimal Antithrombotic Choice of Patients With Paroxysmal Atrial Fibrillation. Medicine. 94(52). e2364–e2364. 1 indexed citations
19.
Chen, Xinran, Ge Dang, Chao Dang, et al.. (2015). An ischemic stroke model of nonhuman primates for remote lesion studies: A behavioral and neuroimaging investigation. Restorative Neurology and Neuroscience. 33(2). 131–142. 20 indexed citations
20.
Chen, Li, Xiaoting Wang, Xinran Chen, et al.. (2014). Tongxinluo attenuates neuronal loss and enhances neurogenesis and angiogenesis in the ipsilateral thalamus and improves neurological outcome after focal cortical infarction in hypertensive rats. Restorative Neurology and Neuroscience. 32(4). 533–546. 20 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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