Ye‐Lei Tang

886 total citations
26 papers, 635 citations indexed

About

Ye‐Lei Tang is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ye‐Lei Tang has authored 26 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Psychiatry and Mental health, 10 papers in Cognitive Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Ye‐Lei Tang's work include Epilepsy research and treatment (12 papers), Functional Brain Connectivity Studies (8 papers) and EEG and Brain-Computer Interfaces (6 papers). Ye‐Lei Tang is often cited by papers focused on Epilepsy research and treatment (12 papers), Functional Brain Connectivity Studies (8 papers) and EEG and Brain-Computer Interfaces (6 papers). Ye‐Lei Tang collaborates with scholars based in China, United States and Poland. Ye‐Lei Tang's co-authors include Wei Liao, Meiping Ding, Rong Li, Gong‐Jun Ji, Xingchao Shentu, Yang Yu, Huafu Chen, Xiaoning Yu, Zhongjin Wang and Heng Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Radiology.

In The Last Decade

Ye‐Lei Tang

26 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye‐Lei Tang China 15 295 231 179 116 72 26 635
Yanhui Chen China 14 73 0.2× 94 0.4× 39 0.2× 32 0.3× 45 0.6× 71 611
Akie Miyamoto Japan 17 159 0.5× 178 0.8× 46 0.3× 157 1.4× 7 0.1× 49 732
Jiechuan Ren China 17 359 1.2× 303 1.3× 172 1.0× 93 0.8× 4 0.1× 53 662
Ayataka Fujimoto Japan 15 264 0.9× 450 1.9× 50 0.3× 211 1.8× 7 0.1× 126 882
Terry L. Schwartz United States 14 259 0.9× 19 0.1× 139 0.8× 54 0.5× 136 1.9× 30 601
María J. Miranda Denmark 14 150 0.5× 130 0.6× 271 1.5× 301 2.6× 5 0.1× 42 794
Atsushi Kamei Japan 14 142 0.5× 134 0.6× 339 1.9× 173 1.5× 6 0.1× 35 882
Benjamin M. Neale United States 6 143 0.5× 221 1.0× 349 1.9× 11 0.1× 546 7.6× 6 931
Christopher Degg United Kingdom 8 94 0.3× 109 0.5× 52 0.3× 63 0.5× 167 2.3× 12 532

Countries citing papers authored by Ye‐Lei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ye‐Lei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye‐Lei Tang. 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 Ye‐Lei Tang. The network helps show where Ye‐Lei Tang may publish in the future.

Co-authorship network of co-authors of Ye‐Lei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ye‐Lei Tang. A scholar is included among the top collaborators of Ye‐Lei Tang 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 Ye‐Lei Tang. Ye‐Lei Tang 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.
Wang, Shan, Jin Lv, Chenmin He, et al.. (2022). COVID-19 vaccination hesitancy and safety among adult people with epilepsy in eastern China. Epilepsy & Behavior. 138. 108984–108984. 7 indexed citations
2.
Liang, Lei, et al.. (2022). Dynamic response mechanism analysis of hinged FBG acceleration sensor. Optical Fiber Technology. 74. 103131–103131. 4 indexed citations
3.
Li, Yucheng, Juan Fu, Ye‐Lei Tang, et al.. (2021). KCOSS: an ultra-fast k-mer counter for assembled genome analysis. Bioinformatics. 38(4). 933–940. 4 indexed citations
4.
Wu, Jing, et al.. (2020). Regional differences in the global burden of age-related macular degeneration. BMC Public Health. 20(1). 410–410. 41 indexed citations
5.
Yang, Hao, Yilei Cui, Ye‐Lei Tang, et al.. (2020). Cytoprotective role of humanin in lens epithelial cell oxidative stress‑induced injury. Molecular Medicine Reports. 22(2). 1467–1479. 18 indexed citations
6.
Tang, Xiajing, et al.. (2019). The impact of GJA3 SNPs on susceptibility to age-related cataract. International Journal of Ophthalmology. 12(6). 1008–1011. 6 indexed citations
7.
Yu, Xiaoning, Xin Zhang, Yilei Cui, et al.. (2018). The impact of GJA8 SNPs on susceptibility to age-related cataract. Human Genetics. 137(11-12). 897–904. 8 indexed citations
8.
Shentu, Xingchao, et al.. (2018). Hydrogen peroxide-induced apoptosis of human lens epithelial cells is inhibited by parthenolide. International Journal of Ophthalmology. 11(1). 12–17. 4 indexed citations
9.
Li, Rong, Liangcheng Wang, Heng Chen, et al.. (2018). Abnormal dynamics of functional connectivity density in children with benign epilepsy with centrotemporal spikes. Brain Imaging and Behavior. 13(4). 985–994. 43 indexed citations
10.
Shen, Chun‐Hong, Bijun Zhang, Zhirong Liu, et al.. (2017). Effects of ABCB1, ABCC2, UGT2B7 and HNF4α genetic polymorphisms on oxcarbazepine concentrations and therapeutic efficacy in patients with epilepsy. Seizure. 51. 102–106. 25 indexed citations
11.
Wang, Shan, Bo Jin, Linglin Yang, et al.. (2017). Clinical value and predictors of subclinical seizures in patients with temporal lobe epilepsy undergoing scalp video-EEG monitoring. Journal of Clinical Neuroscience. 44. 214–217. 10 indexed citations
12.
Zhang, Yinxi, Chun‐Hong Shen, Yi Guo, et al.. (2016). BRAF V600E mutation in epilepsy-associated glioneuronal tumors: Prevalence and correlation with clinical features in a Chinese population. Seizure. 45. 102–106. 15 indexed citations
13.
Tang, Ye‐Lei, et al.. (2016). Metabolic syndrome risk factors and dry eye syndrome: a Meta-analysis. International Journal of Ophthalmology. 9(7). 1038–45. 28 indexed citations
14.
Shen, Chun‐Hong, Yinxi Zhang, Bo Jin, et al.. (2016). Specific OCT1 and ABCG2 polymorphisms are associated with Lamotrigine concentrations in Chinese patients with epilepsy. Epilepsy Research. 127. 186–190. 31 indexed citations
15.
Ji, Gong‐Jun, et al.. (2016). Decreased Network Efficiency in Benign Epilepsy with Centrotemporal Spikes. Radiology. 283(1). 186–194. 60 indexed citations
16.
Guo, Yi, Xiaoyan Ding, Chun‐Hong Shen, et al.. (2015). Depression and anxiety are associated with reduced antiepileptic drug adherence in Chinese patients. Epilepsy & Behavior. 50. 91–95. 40 indexed citations
17.
Guo, Yi, Yinxi Zhang, Chun‐Hong Shen, et al.. (2015). Reliability and validity of the Chinese version of the Neurological Disorders Depression Inventory for Epilepsy (C-NDDI-E). Epilepsy & Behavior. 45. 225–228. 27 indexed citations
18.
Yu, Yang, Svetlana V. Shinkareva, Gong‐Jun Ji, et al.. (2015). Intrinsic brain activity as a diagnostic biomarker in children with benign epilepsy with centrotemporal spikes. Human Brain Mapping. 36(10). 3878–3889. 37 indexed citations
19.
Guo, Yi, et al.. (2014). Suicide risk and associated risk factors in adult patients with epilepsy. Chin J Neurol. 47(4). 250–253. 1 indexed citations
20.
Jin, Bo, Yao Ding, Yi Guo, et al.. (2014). Diagnostic yield of inpatient video-electroencephalographic monitoring: Experience from a Chinese comprehensive epilepsy center. Epilepsy & Behavior. 34. 77–80. 7 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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