Hai Zhong

1.2k citations
46 papers · 841 indexed · 1 hit paper · h-index 11
Topics
Inflammatory Biomarkers in Disease Prognosis (5 papers)Muscle and Compartmental Disorders (4 papers)Ovarian cancer diagnosis and treatment (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsChemical Engineering Journal
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Hai Zhong

39 papers receiving 817 citations

Hit Papers

Vector field-based support vector regression for building...20192026202120232019100200300

Peers

Hai Zhong
Comparison fields: 5 of 137
  • Molecular Biology 189
  • Building and Construction 182
  • Electrical and Electronic Engineering 173
  • Cellular and Molecular Neuroscience 152
  • Pulmonary and Respiratory Medicine 118
Replace Masanori Sano with:
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Chaozhe Jiang China
Hyungtae Kim South Korea
Yoram Etzion Israel
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Ling Zhu United States
Yuhao Sun China
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Hai Zhong relative to Masanori Sano Japan Masanori Sano's profile →
Citations per field
00.5×6.4×
Masanori Sano · 1×
Citations per year

Countries citing papers authored by Hai Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Hai Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Zhong. A scholar is included among the top collaborators of Hai Zhong 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 Hai Zhong. Hai Zhong 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 4
5 3
6 0
7 4
8 1
9 4
10 4
11 4
12 7
13 29
14 46
15 21
16 5
17 12
18 3
19 28
20 185

About Hai Zhong

Hai Zhong is a scholar working on Hepatology, Reproductive Medicine and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 841 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (5 papers), Muscle and Compartmental Disorders (4 papers) and Ovarian cancer diagnosis and treatment (4 papers). The work is most often cited by research in Building and Construction (182 citations), Cellular and Molecular Neuroscience (152 citations) and Environmental Engineering (100 citations). Hai Zhong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongjie Jia, Shilei Lv, Jiajun Wang, Yunfei Mu, T. A. Branchek, Philip Seeman, Chad J. Swanson, Christophe Gerald, Beth Borowsky and Toni D. Wolinsky. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemical Engineering Journal.

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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