Shouwei Wang

2.1k total citations
96 papers, 1.6k citations indexed

About

Shouwei Wang is a scholar working on Animal Science and Zoology, Molecular Biology and Food Science. According to data from OpenAlex, Shouwei Wang has authored 96 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Animal Science and Zoology, 40 papers in Molecular Biology and 32 papers in Food Science. Recurrent topics in Shouwei Wang's work include Meat and Animal Product Quality (58 papers), Advanced Chemical Sensor Technologies (23 papers) and Identification and Quantification in Food (17 papers). Shouwei Wang is often cited by papers focused on Meat and Animal Product Quality (58 papers), Advanced Chemical Sensor Technologies (23 papers) and Identification and Quantification in Food (17 papers). Shouwei Wang collaborates with scholars based in China, Taiwan and Indonesia. Shouwei Wang's co-authors include Mingwu Zang, Yingying Li, Xiaoling Qiao, Bing Zhao, Zheqi Zhang, Shunliang Zhang, Xiaoman Li, Qianrong Wu, Jiapeng Li and Yingying Zhang and has published in prestigious journals such as Bioresource Technology, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Shouwei Wang

88 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shouwei Wang China 26 894 671 626 385 187 96 1.6k
Gaiming Zhao China 23 943 1.1× 502 0.7× 492 0.8× 293 0.8× 153 0.8× 95 1.5k
Hasan Yetim Türkiye 26 741 0.8× 766 1.1× 1.1k 1.8× 212 0.6× 232 1.2× 105 2.2k
Yanwei Mao China 26 1.4k 1.6× 451 0.7× 647 1.0× 312 0.8× 96 0.5× 89 1.9k
Enrico Novelli Italy 30 1.1k 1.2× 821 1.2× 801 1.3× 269 0.7× 203 1.1× 112 2.4k
Yogesh Kumar India 19 666 0.7× 430 0.6× 614 1.0× 200 0.5× 184 1.0× 48 1.5k
Marta Suely Madruga Brazil 24 910 1.0× 345 0.5× 611 1.0× 168 0.4× 229 1.2× 104 1.7k
Andrzej Półtorak Poland 21 756 0.8× 229 0.3× 635 1.0× 153 0.4× 195 1.0× 91 1.5k
Eduardo Mendes Ramos Brazil 28 1.6k 1.7× 426 0.6× 1.0k 1.6× 186 0.5× 277 1.5× 129 2.4k
Xin Luo China 32 1.9k 2.1× 709 1.1× 945 1.5× 488 1.3× 222 1.2× 142 2.8k
Yu Qiao China 28 528 0.6× 530 0.8× 765 1.2× 169 0.4× 282 1.5× 102 2.0k

Countries citing papers authored by Shouwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shouwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouwei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shouwei Wang. A scholar is included among the top collaborators of Shouwei Wang 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 Shouwei Wang. Shouwei Wang 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
1.
Guo, Xiang, Feng Yang, Qi Yu, et al.. (2024). Albumen/gelatin bio-inks preparation in 3D bio-printing for in situ tissue culture of cultured meat. Food Science and Human Wellness. 14(5). 9250249–9250249. 2 indexed citations
2.
Bai, Jing, Mingwu Zang, Yuxuan Shi, et al.. (2024). Identification and quantification of adulteration in frozen-thawed meat of different breeds by NIR spectroscopy and chemometrics. Journal of Food Composition and Analysis. 130. 106192–106192. 9 indexed citations
3.
Wang, Shouwei, et al.. (2024). An Improved YOLOv7-Tiny Method for the Segmentation of Images of Vegetable Fields. Agriculture. 14(6). 856–856. 2 indexed citations
4.
Wang, Shouwei, Jianping Wang, Yuqi Song, et al.. (2024). Reduced resource competition based on mCAP and FD‐OZCZ code for VLCP system. Microwave and Optical Technology Letters. 66(4).
5.
Zhang, Zheqi, Mingwu Zang, Juan Chen, et al.. (2024). Effect of the mycelium of oyster mushrooms on the physical and flavor properties of a plant-based beef analogue. LWT. 198. 116029–116029. 14 indexed citations
6.
Xu, Chenchen, Shouwei Wang, Jing Bai, et al.. (2024). Dynamic microbial community and metabolic profiling in refrigerated beef: Insights from diverse packaging strategies. Food Research International. 197(Pt 1). 115170–115170. 6 indexed citations
7.
Li, Xiaoman, Mingwu Zang, Dan Li, et al.. (2024). Effect of boiled-water-cooking time on quality and characteristic of flavor components in pig large intestines. International Journal of Gastronomy and Food Science. 35. 100899–100899. 2 indexed citations
8.
9.
Zhang, Kaihua, Mingwu Zang, Shouwei Wang, et al.. (2023). Effects of defatting and cooking methods on pig large intestines volatile compounds by flavor omics and fatty acids. LWT. 189. 115500–115500. 6 indexed citations
10.
Wu, Qianrong, Mingwu Zang, Shouwei Wang, et al.. (2023). Changes in flavors profiles of stewed bone-in lamb loin during cooking by DHS/GC-MS combined with electronic bionic systems. Food Bioscience. 53. 102767–102767. 14 indexed citations
11.
Zang, Mingwu, et al.. (2023). Meat food fraud risk in Chinese markets 2012–2021. npj Science of Food. 7(1). 12–12. 30 indexed citations
12.
Zhao, Xueyan, et al.. (2023). Identification of a Candidate Gene Regulating Intramuscular Fat Content in Pigs through the Integrative Analysis of Transcriptomics and Proteomics Data. Journal of Agricultural and Food Chemistry. 71(48). 19154–19164. 9 indexed citations
13.
Zang, Mingwu, Shouwei Wang, Bing Zhao, et al.. (2022). Effects of citrus fibre and soybean protein isolate on heat‐induced pork myofibrillar protein gel properties under low‐sodium salt conditions. International Journal of Food Science & Technology. 57(12). 7701–7711. 10 indexed citations
14.
15.
Zhang, Kaihua, Mingwu Zang, Shouwei Wang, et al.. (2022). Development of meat analogs: Focus on the current status and challenges of regulatory legislation. Comprehensive Reviews in Food Science and Food Safety. 22(2). 1006–1029. 27 indexed citations
16.
Cheng, Xiaoyu, Mingwu Zang, Shouwei Wang, et al.. (2022). Physicochemical and Antioxidant Properties of Nanoliposomes Loaded with Rosemary Oleoresin and Their Oxidative Stability Application in Dried Oysters. Bioengineering. 9(12). 818–818. 6 indexed citations
17.
Zhang, Zheqi, Mingwu Zang, Kaihua Zhang, et al.. (2022). Changes in volatile profiles of a refrigerated‐reheated xylose‐cysteine‐lecithin reaction model analyzed by GC×GC‐MS and E‐nose. Journal of Food Science. 87(3). 1069–1081. 9 indexed citations
18.
Wu, Qianrong, Mingwu Zang, Bing Zhao, et al.. (2022). Effect of citrus fiber on the phosphate-mediated gel properties of myofibrillar protein and partial replacement of phosphate. LWT. 173. 114274–114274. 17 indexed citations
19.
Zang, Mingwu, et al.. (2021). Development and Evaluation of a Preliminary Screening Assay for Antibiotic Residues in Meat. Applied Biochemistry and Biotechnology. 193(4). 1129–1146. 2 indexed citations
20.
Li, Jiapeng, et al.. (2020). A novel duplex SYBR Green real-time PCR with melting curve analysis method for beef adulteration detection. Food Chemistry. 338. 127932–127932. 20 indexed citations

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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