Huixu Dai

562 citations
20 papers · 365 indexed · h-index 10
Topics
Air Quality and Health Impacts (3 papers)Climate Change and Health Impacts (3 papers)Inflammatory Biomarkers in Disease Prognosis (3 papers)
Partner nations
ChinaBangladeshMacao

In The Last Decade

Huixu Dai

18 papers receiving 358 citations

Peers

Huixu Dai
Comparison fields: 5 of 81
  • Experimental and Cognitive Psychology 117
  • Physiology 78
  • Cognitive Neuroscience 70
  • Public Health, Environmental and Occupational Health 70
  • Epidemiology 53
Replace Preneet Cheema Brar with:
Preneet Cheema Brar United States
Carolina Castro Porto Silva Janovsky Brazil
Muhammad Aziz United States
Elizabeth Kehr United States
Dittapol Muntham Thailand
Naomune Yamamoto Japan
Christine M. Lin United States
DeborahL. Wingard United States
Ananthan Ambikairajah Australia
Anne K. Chung United States
Huixu Dai relative to Preneet Cheema Brar United States Preneet Cheema Brar's profile →
Citations per field
00.5×1.5×1.9×
Preneet Cheema Brar · 1×
Citations per year

Countries citing papers authored by Huixu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Huixu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huixu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Huixu Dai. A scholar is included among the top collaborators of Huixu Dai 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 Huixu Dai. Huixu Dai 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 0
4 3
5 6
6 23
7 5
8 6
9 12
10 9
11 7
12 10
13 42
14 16
15 5
16 36
17 4
18 26
19 82
20 72

About Huixu Dai

Huixu Dai is a scholar working on Nephrology, Obstetrics and Gynecology and Health, Toxicology and Mutagenesis, having authored 20 papers that have together received 365 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (3 papers), Climate Change and Health Impacts (3 papers) and Inflammatory Biomarkers in Disease Prognosis (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (117 citations), Endocrine and Autonomic Systems (25 citations) and Cognitive Neuroscience (70 citations). Huixu Dai has collaborated with scholars based in China, Bangladesh and Macao. Frequent co-authors include Jingpu Shi, Qiao He, Guangxiao Li, Peng Zhang, Xiaomei Wu, Yongsheng Song, Dongyang Li, Xuanyu Hao, Hao Sun and Peng Zhang. Their work appears in journals such as American Journal of Clinical Nutrition, Scientific Reports and Medicine.

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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