Xiaochen Zhang

1.1k citations
52 papers · 745 indexed · h-index 15
Topics
Neuroscience and Music Perception (10 papers)Functional Brain Connectivity Studies (9 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Xiaochen Zhang

43 papers receiving 734 citations

Peers

Xiaochen Zhang
Comparison fields: 5 of 126
  • Molecular Biology 178
  • Cognitive Neuroscience 139
  • Biomedical Engineering 127
  • Pollution 89
  • Materials Chemistry 88
Replace B. Dupuy with:
B. Dupuy France
Miguel Ângelo Hyppolito Brazil
Shuang Liu China
Mohammad Ismail Zibaii Iran
Aijing Wang China
Jon Zárate Sesma Spain
Mark Keating United States
Ding Xie United States
Laura Walker United States
Paolo N. Catalano Argentina
Xiaochen Zhang relative to B. Dupuy France B. Dupuy's profile →
Citations per field
00.5×10×20×31.5×
B. Dupuy · 1×
Citations per year

Countries citing papers authored by Xiaochen Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochen Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochen Zhang. A scholar is included among the top collaborators of Xiaochen Zhang 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 Xiaochen Zhang. Xiaochen Zhang 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 0
3 0
4 3
5 0
6 21
7 5
8 1
9 12
10 4
11 4
12 25
13 33
14 7
15 18
16 30
17 14
18 6
19 30
20 65

About Xiaochen Zhang

Xiaochen Zhang is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Statistics and Probability, having authored 52 papers that have together received 745 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (10 papers), Functional Brain Connectivity Studies (9 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). The work is most often cited by research in Urology (72 citations), Oral Surgery (61 citations) and Pollution (89 citations). Xiaochen Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kevin H. Gardner, Kalle Gehring, Shaoyi Wang, Wenjie Zhang, Fei Yu, Jie Ma, Zhi Yang, Xinquan Jiang, Yuqin Jin and Fei Jiang. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Journal of Neuroscience.

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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