Yong‐Jie Yu

1.8k total citations
87 papers, 1.4k citations indexed

About

Yong‐Jie Yu is a scholar working on Spectroscopy, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Yong‐Jie Yu has authored 87 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Spectroscopy, 39 papers in Molecular Biology and 36 papers in Analytical Chemistry. Recurrent topics in Yong‐Jie Yu's work include Analytical Chemistry and Chromatography (41 papers), Metabolomics and Mass Spectrometry Studies (35 papers) and Spectroscopy and Chemometric Analyses (33 papers). Yong‐Jie Yu is often cited by papers focused on Analytical Chemistry and Chromatography (41 papers), Metabolomics and Mass Spectrometry Studies (35 papers) and Spectroscopy and Chemometric Analyses (33 papers). Yong‐Jie Yu collaborates with scholars based in China, United States and Rwanda. Yong‐Jie Yu's co-authors include Hai‐Long Wu, Ru‐Qin Yu, Jinfang Nie, Haiyan Fu, Shufang Li, Yuanbin She, Chao Kang, Shurong Zhang, Pingping Liu and Xiaohua Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Scientific Reports.

In The Last Decade

Yong‐Jie Yu

84 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong‐Jie Yu China 22 598 501 478 344 162 87 1.4k
Hui‐Wen Gu China 25 646 1.1× 610 1.2× 340 0.7× 390 1.1× 307 1.9× 119 1.8k
Tong Wang China 22 561 0.9× 487 1.0× 228 0.5× 371 1.1× 165 1.0× 128 1.8k
Bingren Xiang China 20 569 1.0× 502 1.0× 193 0.4× 218 0.6× 185 1.1× 114 1.4k
Valdemar Lacerda Brazil 26 717 1.2× 304 0.6× 298 0.6× 363 1.1× 169 1.0× 145 2.2k
Antonio González‐Casado Spain 26 800 1.3× 539 1.1× 326 0.7× 562 1.6× 460 2.8× 61 2.1k
Eric Deconinck Belgium 30 713 1.2× 640 1.3× 394 0.8× 282 0.8× 348 2.1× 121 2.3k
Qingde Su China 25 973 1.6× 254 0.5× 481 1.0× 368 1.1× 398 2.5× 89 1.9k
Maryam Vosough Iran 20 542 0.9× 271 0.5× 354 0.7× 427 1.2× 131 0.8× 52 1.3k
Lu Xu China 24 922 1.5× 614 1.2× 160 0.3× 516 1.5× 273 1.7× 110 2.0k
Leqian Hu China 17 556 0.9× 263 0.5× 154 0.3× 245 0.7× 101 0.6× 47 957

Countries citing papers authored by Yong‐Jie Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Jie Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Jie Yu. 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 Yong‐Jie Yu. The network helps show where Yong‐Jie Yu may publish in the future.

Co-authorship network of co-authors of Yong‐Jie Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Jie Yu. A scholar is included among the top collaborators of Yong‐Jie Yu 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 Yong‐Jie Yu. Yong‐Jie Yu 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.
Wen, Yan‐Jin, Min Wang, Meng Zhai, et al.. (2025). Integrating HS-SPME-GCMS with chemometrics for identifying adulterated flaxseed oils and tracing origins of additives. Food Control. 176. 111391–111391. 1 indexed citations
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Ma, Fenglian, Jingjing Song, Guobi Chai, et al.. (2024). A novel comprehensive strategy for high-thoroughly studying released compounds during the combustion process of herbs. A case study for Artemisia argyi Levl. et Vant. Journal of Chromatography A. 1716. 464653–464653. 2 indexed citations
4.
Cui, Xiaojing, Pingping Liu, Xingyue Huang, et al.. (2024). Enhancing coverage of annotated compounds in traditional Chinese medicine formulas: Integrating MSE and Fast-DDA molecular network with AntDAS—Case study of Xiao Jian Zhong Tang. Journal of Chromatography A. 1738. 465498–465498. 1 indexed citations
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Zhang, Zhou, Ruirui Chen, Еvgenia Blagodatskaya, et al.. (2024). Long‐term application of mineral fertilizer weakens the stability of microbial N‐transforming functions via the decrease of soil microbial diversity. SHILAP Revista de lepidopterología. 3(4). 3 indexed citations
7.
Liu, Jianan, et al.. (2023). A study of flavor variations during the flaxseed roasting procedure by developed real-time SPME GC–MS coupled with chemometrics. Food Chemistry. 410. 135453–135453. 17 indexed citations
8.
Ma, Fenglian, et al.. (2023). Using UHPLC-HRMS-based comprehensive strategy to efficiently and accurately screen and identify illegal additives in health-care foods. Food Research International. 170. 113015–113015. 1 indexed citations
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Yuan, Shuai, et al.. (2022). Calculation method of short-circuit fault current in flexible DC grid. Energy Reports. 8. 461–468. 5 indexed citations
11.
Zhang, Yuying, Qian Zhang, Yueming Zhang, et al.. (2019). A comprehensive automatic data analysis strategy for gas chromatography-mass spectrometry based untargeted metabolomics. Journal of Chromatography A. 1616. 460787–460787. 38 indexed citations
12.
Wu, Xiuli, Jing Chen, Jing Chen, et al.. (2019). Disordered Metabolic Profiling in Plasma and Tissues of Mice Infected with Artemisinin-Sensitive and -Resistant Plasmodium berghei K173 Determined by 1H NMR Spectroscopy. Journal of Proteome Research. 18(5). 1970–1993. 8 indexed citations
13.
Zhang, Yueming, Qian Zhang, Yi Lv, et al.. (2019). Automatic peak detection coupled with multivariate curve resolution–alternating least squares for peak resolution in gas chromatography–mass spectrometry. Journal of Chromatography A. 1601. 300–309. 14 indexed citations
14.
Han, Lu, Yueming Zhang, Jingjing Song, et al.. (2018). Automatic untargeted metabolic profiling analysis coupled with Chemometrics for improving metabolite identification quality to enhance geographical origin discrimination capability. Journal of Chromatography A. 1541. 12–20. 19 indexed citations
15.
Fu, Haiyan, Ou Hu, Yueming Zhang, et al.. (2017). Mass-spectra-based peak alignment for automatic nontargeted metabolic profiling analysis for biomarker screening in plant samples. Journal of Chromatography A. 1513. 201–209. 14 indexed citations
16.
Fu, Haiyan, Xiaoming Guo, Yueming Zhang, et al.. (2017). AntDAS: Automatic Data Analysis Strategy for UPLC–QTOF-Based Nontargeted Metabolic Profiling Analysis. Analytical Chemistry. 89(20). 11083–11090. 41 indexed citations
17.
Wang, Xiaoyu, Jizhao Guo, Li Ding, et al.. (2015). Determination of nitroalkanes in mainstream cigarette smoke by heart-cutting multidimensional gas chromatography system coupled with mass spectrometry detection. Journal of Chromatography A. 1424. 118–126. 6 indexed citations
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Wang, Jianyao, Hai‐Long Wu, Yao Chen, et al.. (2012). Fast analysis of synthetic antioxidants in edible vegetable oil using trilinear component modeling of liquid chromatography–diode array detection data. Journal of Chromatography A. 1264. 63–71. 42 indexed citations
20.
Wu, Hai‐Long, Jinfang Nie, Yong‐Jie Yu, & Ru‐Qin Yu. (2009). Multi-way chemometric methodologies and applications: A central summary of our research work. Analytica Chimica Acta. 650(1). 131–142. 99 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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