Shengkui Zhang

40 papers receiving 676 citations

Peers

Shengkui Zhang
Comparison fields: 5 of 109
  • Modeling and Simulation 25
  • Plant Science 205
  • Horticulture 5
  • Endocrine and Autonomic Systems 31
  • Aging 7
Replace Husnain Ahmad with:
Husnain Ahmad United States
Youming Wang China
Arvind Sharma India
Meiling Yao China
Yuqin Zhang China
Arpit Saxena India
Dimitrios Charalampopoulos United Kingdom
Kaitlyn Oliphant Canada
Abdullah A. Saati Saudi Arabia
Hui Ye China
Shengkui Zhang relative to Husnain Ahmad United States Husnain Ahmad's profile →
Citations per field
00.5×10×15×
Husnain Ahmad · 1×
Citations per year

Countries citing papers authored by Shengkui Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Shengkui Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shengkui Zhang, 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 Shengkui Zhang Line = papers co-authored together Shengkui Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202193
2 201847
3 202046
4 202246
5 201845
6 202042
7 201938
8 201835
9 201932
10 201424
11 201921
12 201820
13 202019
14 201815
15 202014
16 202313
17 202212
18 201812
19 202211
20 20209

About Shengkui Zhang

Shengkui Zhang is a scholar working on Experimental and Cognitive Psychology, Molecular Biology, Plant Science, Cardiology and Cardiovascular Medicine and Mechanical Engineering, having authored 42 papers that have together received 687 indexed citations. Recurring topics across this work include Sleep and Work-Related Fatigue (7 papers), Biopolymer Synthesis and Applications (4 papers), Welding Techniques and Residual Stresses (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Cassava research and cyanide (3 papers), Sleep and related disorders (3 papers), Blood Pressure and Hypertension Studies (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (25 citations), Plant Science (205 citations), Horticulture (5 citations), Endocrine and Autonomic Systems (31 citations) and Aging (7 citations). Shengkui Zhang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Yongbin Wang, Juxiang Yuan, Ying Zhu, Chunjie Xu, Wenquan Wang, Zhiqiang Xia, Meiling Zou, Juxiang Yuan, Tao Xia and Xiaohan Wang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Scientific Reports, BMJ Open, Frontiers in Plant Science and Journal of Materials Research and Technology.

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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