Shikui Wang

874 citations
26 papers · 693 · h-index 12

Impact in

Papers in

Shikui Wang

23 papers receiving 670 citations

Peers

Shikui Wang
Comparison fields: 5 of 119
  • Animal Science and Zoology 160
  • Water Science and Technology 106
  • Food Science 119
  • Pollution 57
  • Geochemistry and Petrology 26
Replace C. L. Griffis with:
C. L. Griffis United States
Zongyi Wang China
Changwu Li China
Kaliramesh Siliveru United States
Ireneusz Białobrzewski Poland
Shanshan Qiu China
Yawei Zhang China
W. Yang United States
Zhengquan Liu China
Cláudio Rosa Gallo Brazil
Shikui Wang relative to C. L. Griffis United States C. L. Griffis's profile →
Citations per field
00.5×2×4×6.1×
C. L. Griffis · 1×
Citations per year

Countries citing papers authored by Shikui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shikui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018208
2 2016134
3 2022114
4 202048
5 202434
6 201827
7 201824
8 201722
9 201417
10 200916
11 201512
12 201411
13 20174
14 20254
15 20133
16 20123
17
Visualization for Predictable Model of Complete Characteristic Curve of Pump
20123
18 20203
19 20092
20 20201

About Shikui Wang

Shikui Wang is a scholar working on Electrical and Electronic Engineering, Animal Science and Zoology, Control and Systems Engineering, Ocean Engineering and Computational Mechanics, having authored 26 papers that have together received 693 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (4 papers), Advanced Photonic Communication Systems (3 papers), Optical Network Technologies (3 papers), Coal Properties and Utilization (2 papers), Coal and Its By-products (2 papers), Air Quality Monitoring and Forecasting (2 papers), Advanced Algorithms and Applications (2 papers) and Nanocomposite Films for Food Packaging (2 papers). The work is most often cited by research in Animal Science and Zoology (160 citations), Water Science and Technology (106 citations), Food Science (119 citations), Pollution (57 citations) and Geochemistry and Petrology (26 citations). Shikui Wang has collaborated with scholars based in China, Switzerland and Japan. Frequent co-authors include Anna‐Maria Kluenter, Hengxiao Zhai, Jinlong Wu, Hong Liu, Zhenhao Tang, Jianying Lin, Jun Ren, Shengxian Cao, Yang Li and Yue Li. Their work appears in journals such as Microwave and Optical Technology Letters, Energy, Animal nutrition, Journal of Geochemical Exploration and Poultry Science.

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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