Dianyou Li

2.7k total citations
135 papers, 1.6k citations indexed

About

Dianyou Li is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Dianyou Li has authored 135 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Neurology, 32 papers in Cellular and Molecular Neuroscience and 31 papers in Neurology. Recurrent topics in Dianyou Li's work include Neurological disorders and treatments (114 papers), Parkinson's Disease Mechanisms and Treatments (74 papers) and Botulinum Toxin and Related Neurological Disorders (28 papers). Dianyou Li is often cited by papers focused on Neurological disorders and treatments (114 papers), Parkinson's Disease Mechanisms and Treatments (74 papers) and Botulinum Toxin and Related Neurological Disorders (28 papers). Dianyou Li collaborates with scholars based in China, United Kingdom and United States. Dianyou Li's co-authors include Bomin Sun, Chencheng Zhang, Shikun Zhan, Yixin Pan, Chunyan Cao, Tao Wang, Zhengyu Lin, Yiwen Wu, Peng Huang and Haiyan Jin and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Dianyou Li

123 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dianyou Li China 22 1.2k 505 380 305 268 135 1.6k
Brian H. Kopell United States 23 1.3k 1.1× 626 1.2× 318 0.8× 463 1.5× 162 0.6× 71 1.9k
Emmanuel Cuny France 24 1.4k 1.1× 659 1.3× 424 1.1× 338 1.1× 675 2.5× 66 2.1k
Bryan T. Klassen United States 19 920 0.8× 540 1.1× 384 1.0× 179 0.6× 101 0.4× 65 1.2k
Rick Schuurman Netherlands 13 921 0.8× 300 0.6× 415 1.1× 343 1.1× 624 2.3× 36 1.3k
Sophie Drapier France 26 1.6k 1.3× 489 1.0× 542 1.4× 371 1.2× 163 0.6× 70 2.0k
Shikun Zhan China 19 727 0.6× 328 0.6× 280 0.7× 165 0.5× 240 0.9× 60 1.0k
Antonella Macerollo United Kingdom 23 839 0.7× 323 0.6× 234 0.6× 195 0.6× 224 0.8× 75 1.4k
Miguel Ulla France 20 935 0.8× 259 0.5× 217 0.6× 191 0.6× 109 0.4× 40 1.2k
Eugénie Lhommée France 21 1.5k 1.2× 457 0.9× 344 0.9× 251 0.8× 244 0.9× 39 1.7k
Lars Wojtecki Germany 33 2.8k 2.4× 1.5k 3.0× 812 2.1× 613 2.0× 126 0.5× 95 3.4k

Countries citing papers authored by Dianyou Li

Since Specialization
Citations

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

Fields of papers citing papers by Dianyou Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianyou Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dianyou Li. A scholar is included among the top collaborators of Dianyou Li 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 Dianyou Li. Dianyou Li 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.
Li, Jun, Linbin Wang, Yixin Pan, et al.. (2025). Subthalamic nucleus oscillations during facial emotion processing and apathy in Parkinson's disease. Journal of Affective Disorders. 373. 314–324.
2.
3.
Guo, Rui, Linbin Wang, Chencheng Zhang, et al.. (2024). A Causality-Informed Graph Convolutional Network for Video Assessment of Parkinsonian Leg Agility. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11101–11114. 1 indexed citations
4.
5.
Voon, Valerie, Yijie Zhao, Qiong Ding, et al.. (2024). Modeling impulsivity and risk aversion in the subthalamic nucleus with deep brain stimulation. Nature Mental Health. 2(9). 1084–1095. 3 indexed citations
6.
Shen, Dingding, Yun Ling, Dianyou Li, et al.. (2023). Bilateral globus pallidus interna deep brain stimulation in Parkinson’s disease: Therapeutic effects and motor outcomes prediction in a short-term follow up. Frontiers in Human Neuroscience. 16. 1023917–1023917.
7.
Lin, Qingyang, et al.. (2023). Impaired night-time mobility in patients with Parkinson’s disease: a systematic review. Frontiers in Aging Neuroscience. 15. 1264143–1264143. 4 indexed citations
8.
Wang, Fang, Yixin Pan, Peng Huang, et al.. (2023). Unilateral anterior capsulotomy combined with deep brain stimulation for Parkinson's disease psychosis and motor dysfunctions. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 128. 110865–110865. 1 indexed citations
9.
Meng, Lingfeng, Huimin Hou, Peng Zhang, et al.. (2023). Sacral neuromodulation remote programming in patients with refractory lower urinary tract dysfunction: China’s experience during the COVID-19 pandemic. Frontiers in Medicine. 10. 977433–977433. 1 indexed citations
10.
He, Naying, Jiang Wang, Zhen Zhang, et al.. (2023). Subthalamic stimulation modulates motor network in Parkinson’s disease: recover, relieve and remodel. Brain. 146(7). 2780–2791. 12 indexed citations
11.
Sonkusare, Saurabh, Qiong Ding, Linbin Wang, et al.. (2023). Time-locked acute alpha-frequency stimulation of subthalamic nuclei during the evaluation of emotional stimuli and its effect on power modulation. Frontiers in Human Neuroscience. 17. 1181635–1181635. 4 indexed citations
12.
Zhang, Chencheng, Huichun Luo, Ti‐Fei Yuan, et al.. (2022). Bilateral Habenula deep brain stimulation for treatment-resistant depression: clinical findings and electrophysiological features. Translational Psychiatry. 12(1). 52–52. 38 indexed citations
13.
14.
Sonkusare, Saurabh, Qiong Ding, Linbin Wang, et al.. (2022). Power signatures of habenular neuronal signals in patients with bipolar or unipolar depressive disorders correlate with their disease severity. Translational Psychiatry. 12(1). 72–72. 13 indexed citations
15.
Li, Hongyang, Yijie Lai, Chencheng Zhang, et al.. (2021). Recharging Difficulty With Pulse Generator After Deep Brain Stimulation: A Case Series of Five Patients. Frontiers in Neuroscience. 15. 705483–705483.
16.
Mandali, Alekhya, Yijie Zhao, Chencheng Zhang, et al.. (2020). Acute Time-Locked Alpha Frequency Subthalamic Stimulation Reduces Negative Emotional Bias in Parkinson’s Disease. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(5). 568–578. 12 indexed citations
17.
Zhang, Yingying, Tao Wang, Hongjiang Wei, et al.. (2020). Deep Brain Stimulation of Nucleus Accumbens with Anterior Capsulotomy for Drug Addiction: A Case Report. Stereotactic and Functional Neurosurgery. 98(5). 345–349. 19 indexed citations
18.
Wang, Tao, Chencheng Zhang, Yijie Lai, et al.. (2020). Asleep Deep Brain Stimulation in Patients With Isolated Dystonia: Stereotactic Accuracy, Efficacy, and Safety. Neuromodulation Technology at the Neural Interface. 24(2). 272–278. 4 indexed citations
19.
Pan, Yixin, Dianyou Li, Chencheng Zhang, et al.. (2018). Effect of Bilateral Anterior Cingulotomy on Chronic Neuropathic Pain with Severe Depression. World Neurosurgery. 121. 196–200. 15 indexed citations
20.
Li, Dianyou. (2006). Redundancy Theory and Its application to Ecology. 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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