Chencheng Zhang

5.4k total citations · 1 hit paper
199 papers, 3.1k citations indexed

About

Chencheng Zhang is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Chencheng Zhang has authored 199 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Neurology, 34 papers in Cellular and Molecular Neuroscience and 30 papers in Cognitive Neuroscience. Recurrent topics in Chencheng Zhang's work include Neurological disorders and treatments (96 papers), Parkinson's Disease Mechanisms and Treatments (70 papers) and Botulinum Toxin and Related Neurological Disorders (31 papers). Chencheng Zhang is often cited by papers focused on Neurological disorders and treatments (96 papers), Parkinson's Disease Mechanisms and Treatments (70 papers) and Botulinum Toxin and Related Neurological Disorders (31 papers). Chencheng Zhang collaborates with scholars based in China, United States and United Kingdom. Chencheng Zhang's co-authors include Bomin Sun, Dianyou Li, Mingan Shao, Yunqiang Wang, Shengli Pu, Zijian Hao, Zhipeng Liu, Xiaohua Qian, Yumin Luo and Xunming Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Chencheng Zhang

190 papers receiving 3.1k citations

Hit Papers

Progress, challenge and perspective of graphite-based ano... 2024 2026 2025 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chencheng Zhang China 32 1000 497 444 436 419 199 3.1k
Shouyan Wang China 33 1.3k 1.3× 128 0.3× 834 1.9× 653 1.5× 408 1.0× 161 3.4k
Won Seok Chang South Korea 33 1.3k 1.3× 215 0.4× 599 1.3× 308 0.7× 339 0.8× 230 4.4k
James C. Leiter United States 38 391 0.4× 458 0.9× 654 1.5× 721 1.7× 221 0.5× 164 4.8k
M. Mauri Italy 29 437 0.4× 134 0.3× 223 0.5× 410 0.9× 302 0.7× 188 3.2k
Daniel Albrecht United States 34 188 0.2× 165 0.3× 506 1.1× 276 0.6× 318 0.8× 106 3.9k
Wolfgang Singer United States 40 2.6k 2.6× 190 0.4× 974 2.2× 186 0.4× 660 1.6× 168 5.8k
Yong Jeong South Korea 38 918 0.9× 214 0.4× 752 1.7× 1.4k 3.1× 769 1.8× 179 5.2k
Kazunori Sato Japan 49 188 0.2× 1.0k 2.1× 215 0.5× 1.8k 4.1× 421 1.0× 220 7.0k
Håkan Johansson Sweden 45 338 0.3× 219 0.4× 565 1.3× 1.5k 3.4× 439 1.0× 194 6.7k

Countries citing papers authored by Chencheng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chencheng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chencheng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chencheng Zhang. A scholar is included among the top collaborators of Chencheng Zhang 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 Chencheng Zhang. Chencheng Zhang 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.
Abbas, Ghulam, Vincent J.J. Odekerken, Chencheng Zhang, et al.. (2025). Probabilistic mapping of the antiparkinsonian effects of pallidal deep brain stimulation. Brain Communications. 7(5). fcaf374–fcaf374.
2.
Liu, Weinan, et al.. (2025). Ultra-sensitive flow rate sensor based on Vernier effect and carbon nanotubes-doped PDMS. Sensors and Actuators A Physical. 393. 116844–116844. 1 indexed citations
4.
Guo, Rui, et al.. (2024). A causal counterfactual graph neural network for arising-from-chair abnormality detection in parkinsonians. Medical Image Analysis. 97. 103266–103266. 3 indexed citations
6.
Chen, Bin, et al.. (2024). SEEGRFTC in patients with refractory focal epilepsy: real‐world outcomes from 121 cases. Annals of Clinical and Translational Neurology. 11(8). 1999–2007. 2 indexed citations
7.
Guo, Rui, Zheng Xie, Chencheng Zhang, & Xiaohua Qian. (2024). Causality-Enhanced Multiple Instance Learning With Graph Convolutional Networks for Parkinsonian Freezing-of-Gait Assessment. IEEE Transactions on Image Processing. 33. 3991–4001. 3 indexed citations
8.
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
9.
Zhang, Chencheng, et al.. (2024). Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach. npj Parkinson s Disease. 10(1). 229–229. 2 indexed citations
10.
Pu, Shengli, et al.. (2024). Triple-Channel Optical Fiber Surface Plasmon Resonance Sensor for Simultaneous Detection of Relative Humidity, Magnetic Field, and Temperature. IEEE Sensors Journal. 24(14). 22439–22443. 10 indexed citations
11.
Zhang, Chencheng, Ke Pei, Renjun Gu, et al.. (2024). Mechanism of Yishen Chuchan decoction intervention of Parkinson's disease based on network pharmacology and experimental verification. Heliyon. 10(14). e34823–e34823. 2 indexed citations
12.
Pu, Shengli, et al.. (2024). High-sensitivity vector magnetic field sensor based on a V-shaped multimode-no-core-multimode fiber structure. Optics Letters. 49(10). 2813–2813. 7 indexed citations
13.
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
14.
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
15.
Pu, Shengli, Zijian Hao, Chencheng Zhang, et al.. (2023). In-line temperature-compensated vector magnetic field sensor with side-polished fiber. Optics Letters. 48(17). 4504–4504. 19 indexed citations
16.
Wang, Jia, et al.. (2023). Comparative study of lab-on-fiber vector magnetic field sensor based on multimode and few-mode fiber. Measurement. 207. 112441–112441. 45 indexed citations
18.
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
19.
Zhang, Yu-Xiu, Shengli Pu, Yongxi Li, et al.. (2022). Magnetic Field and Temperature Dual-Parameter Sensor Based on Nonadiabatic Tapered Microfiber Cascaded With FBG. IEEE Access. 10. 15478–15486. 51 indexed citations
20.
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

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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