Xin Hu

1.7k citations
41 papers · 1.2k indexed · 1 hit paper · h-index 19
Topics
EEG and Brain-Computer Interfaces (9 papers)Emotion and Mood Recognition (8 papers)Neural dynamics and brain function (7 papers)
Journals
SHILAP Revista de lepidopterologíaNeuroImageFood Chemistry

In The Last Decade

Xin Hu

38 papers receiving 1.2k citations

Hit Papers

Contrastive Learning of Subject-Invariant EEG Representat...2022202620232024202250100150

Peers

Xin Hu
Comparison fields: 5 of 131
  • Cognitive Neuroscience 534
  • Experimental and Cognitive Psychology 418
  • Pathology and Forensic Medicine 165
  • Plant Science 143
  • Analytical Chemistry 113
Replace M. Luisa Demattè with:
M. Luisa Demattè Italy
Markus Schröder Germany
Per Møller Denmark
Jiacai Zhang China
Robin Dando United States
Le Yang China
Carmel Levitan United States
David Labbé Switzerland
Carolina Johansson Sweden
Fenghua Li China
Xin Hu relative to M. Luisa Demattè Italy M. Luisa Demattè's profile →
Citations per field
00.5×10×13.8×
M. Luisa Demattè · 1×
Citations per year

Countries citing papers authored by Xin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Hu. A scholar is included among the top collaborators of Xin Hu 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 Xin Hu. Xin Hu 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 1
3 1
4 3
5 2
6 0
7 8
8 1
9 7
10 14
11
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognitionbreakdown →
165
12 43
13 33
14 15
15 80
16 50
17
Simulation of Air Temperature within Winter Wheat Canopy by Coupling WOFOST and SHAW Models
2
18 19
19
Influence of late frost on winter wheat yield using MODIS atmospheric profile retrieval products.
2
20 26

About Xin Hu

Xin Hu is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Aquatic Science, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Emotion and Mood Recognition (8 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Experimental and Cognitive Psychology (418 citations), Cognitive Neuroscience (534 citations) and Analytical Chemistry (113 citations). Xin Hu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Dan Zhang, Fei Wang, Xinke Shen, Sen Song, Zhengzhu Zhang, Jingjing Chen, Xianggen Liu, Jingming Ning, Yong‐Jin Liu and Yujie Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Food Chemistry.

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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