Zhipei Ling

1.2k total citations
50 papers, 646 citations indexed

About

Zhipei Ling is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Zhipei Ling has authored 50 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Neurology, 17 papers in Cognitive Neuroscience and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Zhipei Ling's work include Neurological disorders and treatments (22 papers), Parkinson's Disease Mechanisms and Treatments (14 papers) and EEG and Brain-Computer Interfaces (8 papers). Zhipei Ling is often cited by papers focused on Neurological disorders and treatments (22 papers), Parkinson's Disease Mechanisms and Treatments (14 papers) and EEG and Brain-Computer Interfaces (8 papers). Zhipei Ling collaborates with scholars based in China, United States and Germany. Zhipei Ling's co-authors include Zhiqi Mao, Longsheng Pan, Zhiqiang Cui, Xinguang Yu, Xin Xu, Xinguang Yu, Bo Hong, Wenjing Zhou, Yanyang Zhang and Xin Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Zhipei Ling

49 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhipei Ling China 14 265 240 150 121 101 50 646
Marcie Rabin United States 9 250 0.9× 233 1.0× 99 0.7× 289 2.4× 78 0.8× 18 744
Federica Di Nardo Italy 15 198 0.7× 276 1.1× 88 0.6× 98 0.8× 80 0.8× 31 553
Angela Puma Italy 12 176 0.7× 112 0.5× 77 0.5× 58 0.5× 232 2.3× 26 544
Thomas Welton Australia 14 241 0.9× 201 0.8× 92 0.6× 237 2.0× 41 0.4× 36 658
Eduardo Joaquim Lopes Alho Brazil 18 237 0.9× 549 2.3× 399 2.7× 131 1.1× 113 1.1× 43 1.0k
Carmelina Chiriaco Italy 19 221 0.8× 513 2.1× 195 1.3× 179 1.5× 142 1.4× 33 930
Jason MacMore United States 5 106 0.4× 156 0.7× 207 1.4× 95 0.8× 237 2.3× 9 552
Florian Amtage Germany 14 212 0.8× 354 1.5× 242 1.6× 75 0.6× 187 1.9× 23 811
Penghu Wei China 15 211 0.8× 167 0.7× 173 1.2× 159 1.3× 54 0.5× 85 648
Hiroshi Shibasaki Japan 12 368 1.4× 337 1.4× 202 1.3× 78 0.6× 145 1.4× 15 815

Countries citing papers authored by Zhipei Ling

Since Specialization
Citations

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

Fields of papers citing papers by Zhipei Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhipei Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Zhipei Ling. A scholar is included among the top collaborators of Zhipei Ling 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 Zhipei Ling. Zhipei Ling 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.
Zong, Rui, Xuemei Li, Jianfeng He, et al.. (2024). Magnetic resonance-guided focused ultrasound for essential tremor: a prospective, single center, single-arm study. Neural Regeneration Research. 19(9). 2075–2080. 3 indexed citations
3.
Wang, Qiuhong, Jing Wang, Zhipei Ling, et al.. (2024). Phase I clinical trial of intracerebral injection of lentiviral-ABCD1 for the treatment of cerebral adrenoleukodystrophy. Science Bulletin. 69(16). 2596–2603. 2 indexed citations
5.
Cui, Zhiqiang, Chao Jiang, Chunhua Hu, et al.. (2023). Safety and precision of frontal trajectory of lateral habenula deep brain stimulation surgery in treatment-resistant depression. Frontiers in Neurology. 14. 1113545–1113545. 3 indexed citations
6.
Mao, Zhiqi, Zhiqiang Cui, Zhipei Ling, et al.. (2023). Cerebellar gray matter alterations predict deep brain stimulation outcomes in Meige syndrome. NeuroImage Clinical. 37. 103316–103316. 5 indexed citations
7.
Bai, Jing, Rui Zong, Zhentao Zuo, et al.. (2022). Sodium MRI at 7T for Early Response Evaluation of Intracranial Tumors following Stereotactic Radiotherapy Using the CyberKnife. American Journal of Neuroradiology. 43(2). 181–187. 6 indexed citations
8.
Cui, Zhiqiang, Jian Wang, Zhiqi Mao, et al.. (2022). Long-term efficacy, prognostic factors, and safety of deep brain stimulation in patients with refractory Tourette syndrome: A single center, single target, retrospective study. Journal of Psychiatric Research. 151. 523–530. 3 indexed citations
9.
Feng, Long, et al.. (2022). Delayed Recovery After Deep Brain Stimulation Surgery for Parkinson's Disease Under General Anesthesia-Cases Report. Frontiers in Surgery. 9. 811337–811337. 1 indexed citations
10.
Wang, Xin, Zhiqi Mao, Zhipei Ling, & Xinguang Yu. (2020). Predictive factors for outcome of pallidal deep brain stimulation in cervical dystonia. Clinical Neurology and Neurosurgery. 192. 105720–105720. 1 indexed citations
11.
Bao, Weiqi, Jingjie Ge, Zhipei Ling, et al.. (2020). Forniceal deep brain stimulation in severe Alzheimer’s disease: A case report. World Journal of Clinical Cases. 8(20). 4938–4945. 3 indexed citations
12.
Yu, Xinguang, et al.. (2019). Preliminary study of the treatment of brain diseases by remote manipulation of deep brain stimulation with 5G communication. Zhonghua shenjing waike zazhi. 35(12). 1200–1204. 1 indexed citations
13.
Cui, Zhiqiang, Longsheng Pan, Shuli Liang, et al.. (2019). Early detection of cerebral ischemic events on intraoperative magnetic resonance imaging during surgical procedures for deep brain stimulation. Acta Neurochirurgica. 161(8). 1545–1558. 9 indexed citations
14.
Yan, Yuxiang, Tianyi Qian, Xin Xu, et al.. (2019). Human cortical networking by probabilistic and frequency-specific coupling. NeuroImage. 207. 116363–116363. 8 indexed citations
15.
Wang, Xin, Zhiqi Mao, Zhipei Ling, & Xinguang Yu. (2019). Repetitive transcranial magnetic stimulation for cognitive impairment in Alzheimer's disease: a meta-analysis of randomized controlled trials. Journal of Neurology. 267(3). 791–801. 62 indexed citations
16.
Mao, Zhiqi, Xin Wang, Xin Xu, et al.. (2018). Partial improvement in performance of patients with severe Alzheimer's disease at an early stage of fornix deep brain stimulation. Neural Regeneration Research. 13(12). 2164–2164. 27 indexed citations
17.
Mao, Zhiqi, et al.. (2017). Altered emotional prosody processing in patients with Parkinson’s disease after subthalamic nucleus stimulation. Neuropsychiatric Disease and Treatment. Volume 13. 2965–2975. 4 indexed citations
18.
Cui, Zhiqiang & Zhipei Ling. (2015). Advances in microvascular decompression for hemifacial spasm. Journal of Otology. 10(1). 1–6. 7 indexed citations
19.
Zhang, Dan, et al.. (2013). Toward a minimally invasive brain–computer interface using a single subdural channel: A visual speller study. NeuroImage. 71. 30–41. 34 indexed citations
20.
Cui, Zhiqiang, Huifang Song, Zhipei Ling, Longsheng Pan, & Bainan Xu. (2013). Resection or multi-lobe disconnection for intractable epilepsy with open-lip schizencephaly. Journal of Clinical Neuroscience. 20(12). 1780–1782. 1 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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