Shikui Wang

840 citations
25 papers · 653 · h-index 12

Impact in

Papers in

Shikui Wang

22 papers receiving 627 citations

Peers

Shikui Wang
Comparison fields: 5 of 126
  • Animal Science and Zoology 158
  • Water Science and Technology 103
  • Food Science 116
  • Pollution 54
  • Industrial and Manufacturing Engineering 36
Replace Zongyi Wang with:
Zongyi Wang China
Shanshan Qiu China
Ireneusz Białobrzewski Poland
Changwu Li China
Zhengquan Liu China
W. Yang United States
Yawei Zhang China
Kaliramesh Siliveru United States
Raúl González‐García Mexico
Shikui Wang relative to Zongyi Wang China Zongyi Wang's profile →
Citations per field
00.5×1.6×
Zongyi Wang · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018198
2 2016133
3 2022110
4 202040
5 202430
6 201824
7 201821
8 201720
9 201417
10 200915
11 201512
12 201411
13 20174
14 20133
15
Visualization for Predictable Model of Complete Characteristic Curve of Pump
20123
16 20123
17 20203
18 20092
19 20201
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 Artificial Intelligence, having authored 25 papers that have together received 653 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), Nanocomposite Films for Food Packaging (2 papers), Advanced Algorithms and Applications (2 papers), Geochemistry and Elemental Analysis (2 papers), Machine Learning and ELM (2 papers) and Air Quality Monitoring and Forecasting (2 papers). The work is most often cited by research in Animal Science and Zoology (158 citations), Water Science and Technology (103 citations), Food Science (116 citations), Pollution (54 citations) and Industrial and Manufacturing Engineering (36 citations). Shikui Wang has collaborated with scholars based in China, Switzerland and Japan. Frequent co-authors include Hengxiao Zhai, Anna‐Maria Kluenter, Hong Liu, Zhenhao Tang, Jun Ren, Jianying Lin, Shengxian Cao, Yang Li, Yue Li and Haisheng Pei. Their work appears in journals such as Microwave and Optical Technology Letters, Animal nutrition, Energy, Poultry Science and Carbohydrate Polymers.

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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