Junhui Wu

840 citations
61 papers · 538 · h-index 16

Impact in

Papers in

Junhui Wu

53 papers receiving 525 citations

Peers

Junhui Wu
Comparison fields: 5 of 117
  • Health, Toxicology and Mutagenesis 177
  • Pollution 35
  • Environmental Engineering 42
  • Endocrinology, Diabetes and Metabolism 47
  • Rheumatology 41
Replace Dankang Li with:
Dankang Li China
Yan Zhao China
Yongtang Jin China
Seong Rae Kim South Korea
Xiaomei Liao United States
Yingchun Liu China
Hossam M. Draz Saudi Arabia
Chiara Favero Italy
Chan‐Na Zhao China
Junhui Wu relative to Dankang Li China Dankang Li's profile →
Citations per field
00.5×3.4×
Dankang Li · 1×
Citations per year

Countries citing papers authored by Junhui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junhui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junhui Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junhui Wu Line = papers co-authored together Junhui Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202057
2 202132
3 202026
4 198324
5 201224
6 202024
7 202023
8 202423
9 201722
10 202118
11 202117
12 202217
13 202116
14 202016
15 202216
16 202415
17 202313
18 202011
19
Cervical Cytology Intelligent Diagnosis Based On Object Detection Technology
201810
20 20229

About Junhui Wu

Junhui Wu is a scholar working on Health, Toxicology and Mutagenesis, Physiology, Cardiology and Cardiovascular Medicine, General Health Professions and Molecular Biology, having authored 61 papers that have together received 538 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (15 papers), Climate Change and Health Impacts (14 papers), Global Health Care Issues (8 papers), Smoking Behavior and Cessation (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Language, Metaphor, and Cognition (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (177 citations), Pollution (35 citations), Environmental Engineering (42 citations), Endocrinology, Diabetes and Metabolism (47 citations) and Rheumatology (41 citations). Junhui Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yonghua Hu, Yiqun Wu, Mengying Wang, Tao Wu, Xiaowen Wang, Zijing Wang, Yao Wu, Jiating Wang, Huan Yu and Siyue Wang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Addiction, Nutrients, Ecotoxicology and Environmental Safety and Australian Journal of Linguistics.

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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