Yan Niu

1.7k citations
67 papers · 1.2k indexed · 1 hit paper · h-index 18
Topics
Functional Brain Connectivity Studies (37 papers)Neural dynamics and brain function (25 papers)EEG and Brain-Computer Interfaces (16 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
Partner nations
ChinaJapanSingapore

In The Last Decade

Yan Niu

59 papers receiving 1.2k citations

Hit Papers

Epileptic Seizure Detection Based on EEG Signals and CNN20182026202020232018100200300

Peers

Yan Niu
Comparison fields: 5 of 110
  • Cognitive Neuroscience 821
  • Psychiatry and Mental health 202
  • Signal Processing 193
  • Computer Vision and Pattern Recognition 146
  • Radiology, Nuclear Medicine and Imaging 142
Replace Jinglei Lv with:
Jinglei Lv United States
Jiayu Chen United States
Junjie Chen China
Hao He United States
Jonas Richiardi Switzerland
Andreas Bruns Switzerland
Jesús Poza Spain
Xi Luo United States
Zongtan Zhou China
Yan Niu relative to Jinglei Lv United States Jinglei Lv's profile →
Citations per field
00.5×1.5×1.8×
Jinglei Lv · 1×
Citations per year

Countries citing papers authored by Yan Niu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Niu. A scholar is included among the top collaborators of Yan Niu 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 Yan Niu. Yan Niu 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
#WorkIndexed citations
1 0
2 6
3 1
4 1
5 5
6 3
7 3
8 1
9 53
10 13
11 2
12 1
13 12
14 4
15 18
16 21
17 28
18
Supervised prediction of drug-target interactions by ensemble learning
6
19 76
20 17

About Yan Niu

Yan Niu is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (37 papers), Neural dynamics and brain function (25 papers) and EEG and Brain-Computer Interfaces (16 papers). The work is most often cited by research in Cognitive Neuroscience (821 citations), Biological Psychiatry (67 citations) and Signal Processing (193 citations). Yan Niu has collaborated with scholars based in China, Japan and Singapore. Frequent co-authors include Bin Wang, Jie Xiang, Rui Cao, Mengni Zhou, Hao Guo, Cheng Tian, Ting Hu, Dandan Li, Jie Sun and Jiayue Xue. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

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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