Nihong Chen

660 total citations
37 papers, 447 citations indexed

About

Nihong Chen is a scholar working on Cognitive Neuroscience, Epidemiology and Neurology. According to data from OpenAlex, Nihong Chen has authored 37 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 13 papers in Epidemiology and 6 papers in Neurology. Recurrent topics in Nihong Chen's work include Visual perception and processing mechanisms (18 papers), Neural dynamics and brain function (16 papers) and Acute Ischemic Stroke Management (11 papers). Nihong Chen is often cited by papers focused on Visual perception and processing mechanisms (18 papers), Neural dynamics and brain function (16 papers) and Acute Ischemic Stroke Management (11 papers). Nihong Chen collaborates with scholars based in China, United States and Romania. Nihong Chen's co-authors include Fang Fang, Tiangang Zhou, Benjamin Thompson, Taiyong Bi, Wei Zhang, Wei Zuo, Junshan Zhou, Yingdong Zhang, Sheng Li and Bosco S. Tjan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Nihong Chen

34 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nihong Chen China 13 236 96 61 50 43 37 447
João Valente Duarte Portugal 12 194 0.8× 46 0.5× 41 0.7× 40 0.8× 44 1.0× 41 389
Jingling Chang China 13 183 0.8× 61 0.6× 57 0.9× 54 1.1× 16 0.4× 33 450
Jeremy Bockholt United States 10 134 0.6× 29 0.3× 51 0.8× 53 1.1× 47 1.1× 12 336
Yuanyuan Dang China 15 158 0.7× 263 2.7× 47 0.8× 93 1.9× 51 1.2× 55 588
Tsuyoshi Shimomura Japan 16 77 0.3× 88 0.9× 26 0.4× 50 1.0× 42 1.0× 44 522
Mina Lee South Korea 12 160 0.7× 49 0.5× 58 1.0× 65 1.3× 161 3.7× 43 495
Angela Darekar United Kingdom 13 63 0.3× 82 0.9× 42 0.7× 56 1.1× 51 1.2× 30 468
Ge Dang China 11 79 0.3× 82 0.9× 66 1.1× 85 1.7× 24 0.6× 24 320
Hyeon Jin Kim South Korea 13 96 0.4× 33 0.3× 39 0.6× 41 0.8× 79 1.8× 32 332

Countries citing papers authored by Nihong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Nihong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nihong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Nihong Chen. A scholar is included among the top collaborators of Nihong Chen 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 Nihong Chen. Nihong Chen 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.
Hu, Yongqiang, Jingzhi Huang, Xia Li, et al.. (2025). Artificial Intelligence in Nanophotonics: From Design to Optical Computing. Chinese Physics Letters. 42(8). 80802–80802.
3.
Zhang, Xilin, et al.. (2024). Attention spotlight in V1-based cortico-cortical interactions in human visual hierarchy. Scientific Reports. 14(1). 13140–13140. 1 indexed citations
4.
Chen, Nihong, et al.. (2023). Context-dependent attentional spotlight in pulvinar-V1 interaction. NeuroImage. 279. 120341–120341. 1 indexed citations
5.
Chen, Nihong, Fuping Jiang, Xiangliang Chen, et al.. (2023). Associations of Lipoprotein(a) Level with Cerebral Small Vessel Disease in Patients with Alzheimer’s Disease. Brain Sciences. 14(1). 34–34. 6 indexed citations
6.
Cheng, Siyuan, et al.. (2023). Visual statistical learning of naturalistic textures.. Journal of Experimental Psychology Human Perception & Performance. 49(12). 1579–1590. 2 indexed citations
7.
Zhu, Lin, Fuping Jiang, Meng Wang, et al.. (2022). Fluid-Attenuated Inversion Recovery Vascular Hyperintensity as a Potential Predictor for the Prognosis of Acute Stroke Patients After Intravenous Thrombolysis. Frontiers in Neuroscience. 15. 808436–808436. 5 indexed citations
8.
Chen, Nihong, Yiming Zhang, Fuping Jiang, et al.. (2022). FLAIR vascular hyperintensity predicts early neurological deterioration in patients with acute ischemic stroke receiving endovascular thrombectomy. Neurological Sciences. 43(6). 3747–3757. 5 indexed citations
9.
Jiang, Fuping, Nihong Chen, Mengyi Xu, et al.. (2022). A Dynamic Nomogram to Identify Patients at High Risk of Poor Outcome in Stroke Patients with Chronic Kidney Disease. Clinical Interventions in Aging. Volume 17. 755–766. 1 indexed citations
10.
Gu, Mengmeng, et al.. (2021). Roseburia Abundance Associates With Severity, Evolution and Outcome of Acute Ischemic Stroke. Frontiers in Cellular and Infection Microbiology. 11. 669322–669322. 24 indexed citations
11.
Zhang, Juan, Xiaoli Cui, Fuping Jiang, et al.. (2021). Using machine learning to predict atrial fibrillation diagnosed after ischemic stroke. International Journal of Cardiology. 347. 21–27. 32 indexed citations
12.
Cui, Xiaoli, Fuping Jiang, Junshan Zhou, et al.. (2021). Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms. Frontiers in Neurology. 12. 761092–761092. 4 indexed citations
13.
Peng, Qiang, Siyu Wang, Feng Zhou, et al.. (2021). Hypersensitive C-reactive protein-albumin ratio predicts symptomatic intracranial hemorrhage after endovascular therapy in acute ischemic stroke patients. BMC Neurology. 21(1). 47–47. 9 indexed citations
14.
Wang, Qian, et al.. (2020). Cue-triggered activity replay in human early visual cortex. Science China Life Sciences. 64(1). 144–151. 8 indexed citations
15.
Deng, Qiwen, Pengyu Gong, Xiangliang Chen, et al.. (2020). Admission blood cell counts are predictive of stroke-associated infection in acute ischemic stroke patients treated with endovascular therapy. Neurological Sciences. 42(6). 2397–2409. 13 indexed citations
16.
Chen, Nihong, et al.. (2019). Cortical reorganization of peripheral vision induced by simulated central vision loss. Journal of Neuroscience. 39(18). 2126–18. 24 indexed citations
17.
Chen, Nihong, Pinglei Bao, & Bosco S. Tjan. (2018). Contextual-Dependent Attention Effect on Crowded Orientation Signals in Human Visual Cortex. Journal of Neuroscience. 38(39). 8433–8440. 10 indexed citations
18.
Chen, Nihong, et al.. (2016). Perceptual learning modifies the functional specializations of visual cortical areas. Proceedings of the National Academy of Sciences. 113(20). 5724–5729. 62 indexed citations
19.
Chen, Nihong, Taiyong Bi, Tiangang Zhou, et al.. (2015). Sharpened cortical tuning and enhanced cortico-cortical communication contribute to the long-term neural mechanisms of visual motion perceptual learning. NeuroImage. 115. 17–29. 42 indexed citations
20.
Chen, Nihong & Fang Fang. (2011). Tilt aftereffect from orientation discrimination learning. Experimental Brain Research. 215(3-4). 227–234. 10 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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