Shijie Shi

561 total citations
27 papers, 396 citations indexed

About

Shijie Shi is a scholar working on Plant Science, Nutrition and Dietetics and Analytical Chemistry. According to data from OpenAlex, Shijie Shi has authored 27 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 12 papers in Nutrition and Dietetics and 7 papers in Analytical Chemistry. Recurrent topics in Shijie Shi's work include GABA and Rice Research (16 papers), Food composition and properties (11 papers) and Rice Cultivation and Yield Improvement (9 papers). Shijie Shi is often cited by papers focused on GABA and Rice Research (16 papers), Food composition and properties (11 papers) and Rice Cultivation and Yield Improvement (9 papers). Shijie Shi collaborates with scholars based in China, Australia and United States. Shijie Shi's co-authors include Cougui Cao, Yang Jiang, Mingli Cai, Enting Wang, Gaoyu Zhang, Juan Liu, Yingying Ma, Lina Li, Hui Zhou and Wenhui Zhang and has published in prestigious journals such as Critical Reviews in Food Science and Nutrition, Food Research International and International Journal of Biological Macromolecules.

In The Last Decade

Shijie Shi

23 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shijie Shi China 12 247 165 110 65 53 27 396
Krishnendu Chattopadhyay India 16 588 2.4× 146 0.9× 81 0.7× 78 1.2× 26 0.5× 57 731
Ana Castanho Portugal 9 170 0.7× 72 0.4× 224 2.0× 67 1.0× 62 1.2× 15 403
Ana Elisa Rato Portugal 13 249 1.0× 43 0.3× 124 1.1× 105 1.6× 49 0.9× 35 427
Changyun Fang China 11 210 0.9× 179 1.1× 34 0.3× 94 1.4× 55 1.0× 19 365
Turgay Şanal Türkiye 9 199 0.8× 151 0.9× 61 0.6× 101 1.6× 13 0.2× 24 375
Junhui Li China 14 444 1.8× 52 0.3× 146 1.3× 34 0.5× 54 1.0× 74 645
R. Caramanico Italy 11 115 0.5× 207 1.3× 50 0.5× 126 1.9× 27 0.5× 16 368
Glen R. Rippke United States 8 152 0.6× 48 0.3× 294 2.7× 38 0.6× 86 1.6× 11 415
Andreia Soares Portugal 7 102 0.4× 44 0.3× 156 1.4× 33 0.5× 39 0.7× 14 300

Countries citing papers authored by Shijie Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shijie Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijie Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shijie Shi. A scholar is included among the top collaborators of Shijie Shi 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 Shijie Shi. Shijie Shi 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.
2.
Shi, Shijie, Kaidi Zhang, Na Tian, et al.. (2025). Spectroscopic techniques combined with chemometrics for rapid detection of food adulteration: Applications, perspectives, and challenges. Food Research International. 211. 116459–116459. 5 indexed citations
3.
Lin, Ling, Ling Lin, Enting Wang, et al.. (2025). Nitrogen fertilization alters rice taste quality through layer-specific changes in protein and starch composition. Journal of Cereal Science. 123. 104157–104157. 3 indexed citations
4.
Shi, Shijie, Wenhui Zhang, Yingying Ma, et al.. (2024). Near-infrared spectroscopy combined with effective variable selection algorithm for rapid detection of rice taste quality. Biosystems Engineering. 237. 214–219. 11 indexed citations
5.
Shi, Shijie, et al.. (2024). SWOT analysis of fitness industry business activities in China. Scientific Journal of National Pedagogical Dragomanov University Series 15 Scientific and pedagogical problems of physical culture (physical culture and sports). 14–17.
6.
Shi, Shijie, et al.. (2024). Analysis of Consumer Preferences in the Fitness Services Market of China. Scientific Journal of National Pedagogical Dragomanov University Series 15 Scientific and pedagogical problems of physical culture (physical culture and sports). 9–14.
7.
Ma, Yingying, Shijie Shi, Kaidi Zhang, Lin Li, & Yang Jiang. (2024). Application of two near-infrared instruments combined with chemometrics and key variable selection algorithms for the determination of anthocyanins content in black rice. Microchemical Journal. 207. 112034–112034. 8 indexed citations
8.
Huang, Liying, Xiaohai Tian, Zhaoqiang Jin, et al.. (2024). Variation in Starch Properties in Ratoon Rice and Their Relationship with Rice Quality. Agronomy. 14(9). 2178–2178. 1 indexed citations
9.
Shi, Shijie, et al.. (2023). Association between rice protein components and eating quality traits of different rice varieties under different nitrogen levels. Journal of Cereal Science. 113. 103760–103760. 18 indexed citations
10.
Shi, Shijie, et al.. (2023). China’s fitness industry during the СOVID-19 pandemic. Naukowyi Chasopys National Pedagogical Dragomanov University Series 5 Pedagogical sciences reality and perspectives. 9–12.
11.
Shi, Shijie, et al.. (2023). Application of spectroscopic techniques combined with chemometrics to the authenticity and quality attributes of rice. Critical Reviews in Food Science and Nutrition. 65(5). 913–935. 10 indexed citations
12.
Shi, Shijie, Gaofeng Pan, Jing Wang, et al.. (2023). Combination of NIR spectroscopy and algorithms for rapid differentiation between one-year and two-year stored rice. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 291. 122343–122343. 21 indexed citations
13.
Shi, Shijie, Yingying Ma, Gaoyu Zhang, et al.. (2023). Combination of near-infrared spectroscopy and key wavelength-based screening algorithm for rapid determination of rice protein content. Journal of Food Composition and Analysis. 118. 105216–105216. 32 indexed citations
14.
15.
Shi, Shijie, et al.. (2023). The differences in metabolites, starch structure, and physicochemical properties of rice were related to the decrease in taste quality under high nitrogen fertilizer application. International Journal of Biological Macromolecules. 253(Pt 1). 126546–126546. 14 indexed citations
16.
Shi, Shijie, Hui Zhou, Gaoyu Zhang, et al.. (2022). Judge the taste quality of rice by screening the thickness of rice under nitrogen conditions. Journal of Food Processing and Preservation. 46(9). 5 indexed citations
17.
Shi, Shijie, Gaoyu Zhang, Linlin Chen, et al.. (2022). Different nitrogen fertilizer application in the field affects the morphology and structure of protein and starch in rice during cooking. Food Research International. 163. 112193–112193. 54 indexed citations
18.
Shi, Shijie, Gaoyu Zhang, Lina Li, et al.. (2022). Effects of Nitrogen Fertilizer on the Starch Structure, Protein Distribution, and Quality of Rice. ACS Food Science & Technology. 2(8). 1347–1354. 12 indexed citations
19.
Shi, Shijie, et al.. (2022). Differences in starch multi-layer structure, pasting, and rice eating quality between fresh rice and 7 years stored rice. Current Research in Food Science. 5. 1379–1385. 21 indexed citations
20.
Shi, Shijie, et al.. (2022). Use of Protein Content, Amylose Content, and RVA Parameters to Evaluate the Taste Quality of Rice. Frontiers in Nutrition. 8. 758547–758547. 84 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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