Daiquan Zhou

875 total citations
27 papers, 716 citations indexed

About

Daiquan Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Daiquan Zhou has authored 27 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Cognitive Neuroscience. Recurrent topics in Daiquan Zhou's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Functional Brain Connectivity Studies (5 papers) and MRI in cancer diagnosis (4 papers). Daiquan Zhou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Functional Brain Connectivity Studies (5 papers) and MRI in cancer diagnosis (4 papers). Daiquan Zhou collaborates with scholars based in China, United States and Canada. Daiquan Zhou's co-authors include Jian Wang, Mei He, Wenjing Wu, Wei Qu, Lingheng Song, Xuntao Yin, Bing Xie, Jingming Hou, Yun Lin and Jiani Hu and has published in prestigious journals such as PLoS ONE, Journal of Affective Disorders and Human Brain Mapping.

In The Last Decade

Daiquan Zhou

26 papers receiving 712 citations

Peers

Daiquan Zhou
Comparison fields: 5 of 73
  • Cognitive Neuroscience 337
  • Clinical Psychology 241
  • Radiology, Nuclear Medicine and Imaging 207
  • Experimental and Cognitive Psychology 118
  • Neurology 76
Replace S. Tran Dinh with:
S. Tran Dinh France
Caroline Malherbe Germany
Shun Qi China
Etienne Stanus Belgium
Ghulam Syed United Kingdom
Sarah C. Reitz Germany
John W. Stakes United States
Anna Calvo Spain
Christof Walter Germany
Patrick J. Karas United States
S. Tran Dinh France View profile →
Citations per field, relative to Daiquan Zhou
Daiquan Zhou · 1×
Citations per year, relative to Daiquan Zhou
Daiquan Zhou · 1×

Countries citing papers authored by Daiquan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Daiquan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiquan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Daiquan Zhou. A scholar is included among the top collaborators of Daiquan Zhou 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 Daiquan Zhou. Daiquan Zhou 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
# Work Indexed citations
1 1
2 2
3 7
4 2
5 0
6 16
7 35
8 21
9 9
10 22
11 27
12 44
13 38
14 4
15 4
16 56
17 57
18 107
19 31
20 56

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026