Hai Lin

447 total citations
19 papers, 219 citations indexed

About

Hai Lin is a scholar working on Neurology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hai Lin has authored 19 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 7 papers in Cognitive Neuroscience and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hai Lin's work include Neurological disorders and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Functional Brain Connectivity Studies (5 papers). Hai Lin is often cited by papers focused on Neurological disorders and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Functional Brain Connectivity Studies (5 papers). Hai Lin collaborates with scholars based in China, United States and Singapore. Hai Lin's co-authors include Xiaodong Cai, Weiping Li, Robert U. Muller, Gregory L. Holmes, John L. Kubie, Doudou Zhang, Jiali Liu, Na Peng, Jiali Liu and Yunjing Xue and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Human Brain Mapping.

In The Last Decade

Hai Lin

18 papers receiving 213 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai Lin China 8 77 77 68 47 38 19 219
Valerie Suski United States 5 103 1.3× 143 1.9× 75 1.1× 53 1.1× 25 0.7× 6 249
Lia Talozzi Italy 9 47 0.6× 94 1.2× 104 1.5× 17 0.4× 34 0.9× 22 242
Sara Ponticorvo Italy 10 93 1.2× 51 0.7× 79 1.2× 29 0.6× 19 0.5× 30 259
Chun‐Yi Zac Lo China 9 44 0.6× 69 0.9× 103 1.5× 56 1.2× 50 1.3× 22 263
Yaroslav Parpaley Germany 11 131 1.7× 83 1.1× 128 1.9× 98 2.1× 109 2.9× 17 329
Jan Oltmer United States 7 95 1.2× 45 0.6× 42 0.6× 78 1.7× 38 1.0× 15 248
Patrizia Pinto Italy 11 103 1.3× 32 0.4× 82 1.2× 44 0.9× 131 3.4× 15 351
Mark Sedrak United States 11 293 3.8× 100 1.3× 41 0.6× 87 1.9× 29 0.8× 27 387
Kathrin Machetanz Germany 11 97 1.3× 18 0.2× 96 1.4× 59 1.3× 35 0.9× 31 272
Cordell Baker United States 10 59 0.8× 154 2.0× 186 2.7× 17 0.4× 29 0.8× 23 319

Countries citing papers authored by Hai Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hai Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Lin. A scholar is included among the top collaborators of Hai Lin 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 Hai Lin. Hai Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
2.
Ho, Cyrus S. H., Roger Ho, Syeda Fabeha Husain, et al.. (2024). Interpretable deep learning model for major depressive disorder assessment based on functional near-infrared spectroscopy. Asian Journal of Psychiatry. 92. 103901–103901. 9 indexed citations
3.
Li, Caizi, Yanjiang Wang, Weixin Si, et al.. (2022). Amplitude-frequency-aware deep fusion network for optimal contact selection on STN-DBS electrodes. Science China Information Sciences. 65(4). 7 indexed citations
4.
Meng, Cheng, et al.. (2022). Predictive value of serum adiponectin and hemoglobin levels for vascular cognitive impairment in ischemic stroke patients. Pakistan Journal of Medical Sciences. 38(3). 705–710. 4 indexed citations
5.
Ke, Wei & Hai Lin. (2022). Advances in Chinese Medicine for Post-Stroke Cognitive Impairment. 4(4). 1 indexed citations
6.
Liang, Li-hong, Hai Lin, Fan Lin, et al.. (2021). Quantitative visual pathway abnormalities predict visual field defects in patients with pituitary adenomas: a diffusion spectrum imaging study. European Radiology. 31(11). 8187–8196. 5 indexed citations
7.
Lin, Hai, Wei Yan, Doudou Zhang, et al.. (2021). Brain connectivity markers in advanced Parkinson’s disease for predicting mild cognitive impairment. European Radiology. 31(12). 9324–9334. 15 indexed citations
8.
Liu, Jiali, et al.. (2021). Comprehensive analysis of resting tremor based on acceleration signals of patients with Parkinson’s disease. Technology and Health Care. 30(4). 895–907. 5 indexed citations
9.
Chen, Wei, Hai Lin, Xiang Li, et al.. (2020). The potential role of leukoaraiosis in remodeling the brain network to buffer cognitive decline: a Leukoaraiosis And Disability study from Alzheimer’s Disease Neuroimaging Initiative. Quantitative Imaging in Medicine and Surgery. 11(1). 183–203. 6 indexed citations
10.
Lin, Hai, et al.. (2020). Brain connectivity markers for the identification of effective contacts in subthalamic nucleus deep brain stimulation. Human Brain Mapping. 41(8). 2028–2036. 16 indexed citations
11.
Lin, Hai, et al.. (2019). Electrode Reconstruction Assists Postoperative Contact Selection in Deep Brain Stimulation. World Neurosurgery. 125. e442–e447. 6 indexed citations
12.
Lin, Hai, et al.. (2019). Relationship between intracranial pressure and phase-contrast cine MRI-derived measures of cerebrospinal fluid parameters in communicating hydrocephalus. Quantitative Imaging in Medicine and Surgery. 9(8). 1413–1420. 14 indexed citations
13.
Lin, Hai, Xiaodong Cai, Doudou Zhang, et al.. (2019). Functional connectivity markers of depression in advanced Parkinson's disease. NeuroImage Clinical. 25. 102130–102130. 33 indexed citations
14.
Lin, Hai, Yanwen Xu, Lei Chen, Na Peng, & Weiping Li. (2019). Multiparametric and multiregional diffusion features help predict molecule information, grade and survival in lower-grade gliomas: a feasibility study. British Journal of Radiology. 92(1103). 20190324–20190324.
16.
Jiang, Ping, et al.. (2018). Functional connectivity of intrinsic cognitive networks during resting state and task performance in preadolescent children. PLoS ONE. 13(10). e0205690–e0205690. 22 indexed citations
17.
Lin, Hai, et al.. (2018). Both Deep Brain Stimulation and Thalamotomy in a 13-Year-Old Patient with Primary Dystonia. World Neurosurgery. 117. 68–73. 2 indexed citations
18.
Lin, Hai, Balázs Hangya, Steven E. Fox, & Robert U. Muller. (2012). Repetitive Convulsant-Induced Seizures Reduce the Number But Not Precision of Hippocampal Place Cells. Journal of Neuroscience. 32(12). 4163–4178. 6 indexed citations
19.
Lin, Hai, Gregory L. Holmes, John L. Kubie, & Robert U. Muller. (2009). Recurrent seizures induce a reversible impairment in a spatial hidden goal task. Hippocampus. 19(9). 817–827. 30 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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