Yongwen Jiang

1.6k total citations · 2 hit papers
48 papers, 1.2k citations indexed

About

Yongwen Jiang is a scholar working on Pathology and Forensic Medicine, Food Science and Biochemistry. According to data from OpenAlex, Yongwen Jiang has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Pathology and Forensic Medicine, 35 papers in Food Science and 20 papers in Biochemistry. Recurrent topics in Yongwen Jiang's work include Tea Polyphenols and Effects (42 papers), Phytochemicals and Antioxidant Activities (20 papers) and Food Quality and Safety Studies (20 papers). Yongwen Jiang is often cited by papers focused on Tea Polyphenols and Effects (42 papers), Phytochemicals and Antioxidant Activities (20 papers) and Food Quality and Safety Studies (20 papers). Yongwen Jiang collaborates with scholars based in China, France and Canada. Yongwen Jiang's co-authors include Haibo Yuan, Yanqin Yang, Yuliang Deng, Jinjie Hua, Jiayi Zhu, Jialing Xie, Shuai Shen, Lilei Wang, Jia Li and Qizhen Du and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Molecules.

In The Last Decade

Yongwen Jiang

47 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Insight into aroma dynamic changes during the whole manufacturing process of chestnut-like aroma green tea by combining GC-E-Nose, GC-IMS, and GC × GC-TOFMS

2022 114 citations Yanqin Yang, Yuliang Deng et al. Food Chemistry profile →
Characterization of the key odorants in floral aroma green tea based on GC-E-Nose, GC-IMS, GC-MS and aroma recombination and investigation of the dynamic changes and aroma formation during processing

2023 102 citations Jialing Xie, Lilei Wang et al. Food Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongwen Jiang China	21	804	697	478	184	162	48	1.2k
Jinjie Hua China	25	1.2k 1.4×	911 1.3×	596 1.2×	219 1.2×	184 1.1×	47	1.5k
Hongkai Zhu China	18	399 0.5×	286 0.4×	225 0.5×	270 1.5×	221 1.4×	31	835
Qianying Dai China	14	388 0.5×	350 0.5×	230 0.5×	98 0.5×	102 0.6×	31	699
Dongchao Xie China	15	753 0.9×	538 0.8×	417 0.9×	111 0.6×	64 0.4×	28	1.0k
Kunbo Wang China	23	1.3k 1.6×	850 1.2×	525 1.1×	204 1.1×	101 0.6×	60	1.9k
Qunhua Peng China	26	1.7k 2.1×	1.3k 1.9×	942 2.0×	234 1.3×	164 1.0×	41	2.3k
Junfeng Tan China	23	1.9k 2.4×	1.5k 2.1×	1.1k 2.2×	307 1.7×	181 1.1×	41	2.5k
Piaopiao Long China	15	567 0.7×	429 0.6×	347 0.7×	95 0.5×	31 0.2×	23	894
Józef Korczak Poland	22	352 0.4×	493 0.7×	680 1.4×	136 0.7×	46 0.3×	54	1.5k
Keith Helliwell United Kingdom	8	521 0.6×	276 0.4×	512 1.1×	168 0.9×	53 0.3×	11	965

Countries citing papers authored by Yongwen Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Yongwen Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongwen Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongwen Jiang. A scholar is included among the top collaborators of Yongwen Jiang 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 Yongwen Jiang. Yongwen Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tang, Jiahao, et al.. (2025). Influence of Different Shaping Techniques on the Aroma Quality and Volatile Metabolites of Green Tea Revealed by Gas Chromatography Electronic Nose and Gas Chromatography–Tandem Mass Spectrometry. Foods. 14(5). 816–816. 3 indexed citations

Zhang, Qianting, Yuning Feng, Zhenxing Xu, et al.. (2025). Quantitative non-volatile sensometabolome of Longjing tea and discrimination of taste quality by sensory analysis, large-scale quantitative metabolomics and machine learning. Food Chemistry. 485. 144496–144496. 3 indexed citations

Chen, Le, Jian‐Qiang Ma, Yuning Feng, et al.. (2025). Lipid profiles and metabolic characteristics of Chinese tea cultivars (Camellia sinensis) with different manufacturing suitabilities by comparative lipidomics using UHPLC-Q-Exactive mass spectrometry. Food Chemistry. 488. 144882–144882.

Yuan, Haibo, Yongwen Jiang, Kunbo Wang, et al.. (2025). Mechanism of the effect of fixation degrees on the volatile and non-volatile metabolites in green tea using targeted and non-targeted metabolomics analyses and the flavor objective quantification technique. Food Chemistry. 492(Pt 1). 145352–145352. 1 indexed citations

Chen, Wenxue, et al.. (2024). Evaluation of key taste components in Huangjin green tea based on electronic tongue technology. Food Research International. 201. 115569–115569. 5 indexed citations

Tang, Jiahao, Lilei Wang, Jialing Xie, et al.. (2024). Unraveling the dynamic changes of volatile compounds during the rolling process of Congou black tea via GC-E-nose and GC–MS. Frontiers in Sustainable Food Systems. 8. 5 indexed citations

Jiang, Yongwen, Shan Zhang, Le Chen, et al.. (2024). Key umami taste contributors in Longjing green tea uncovered by integrated means of sensory quantitative descriptive analysis, metabolomics, quantification analysis and taste addition experiments. Food Chemistry. 453. 139628–139628. 26 indexed citations

Yang, Yanqin, Jialing Xie, Lilei Wang, et al.. (2024). Volatolomics-assisted characterization of the key odorants in green off-flavor black tea and their dynamic changes during processing. Food Chemistry X. 22. 101432–101432. 17 indexed citations

Jiang, Yongwen, et al.. (2023). Data fusion strategy for rapid prediction of moisture content during drying of black tea based on micro-NIR spectroscopy and machine vision. Optik. 276. 170645–170645. 28 indexed citations

10.

Yu, Qinyan, Le Chen, Shan Zhang, et al.. (2023). Analyzing the influence of withering degree on the dynamic changes in non-volatile metabolites and sensory quality of Longjing green tea by non-targeted metabolomics. Frontiers in Nutrition. 10. 1104926–1104926. 31 indexed citations

11.

Zhu, Hongkai, et al.. (2023). Contents of ɑ-dicarbonyl compounds in commercial black tea and affected by the processing. Food Research International. 178. 113876–113876. 4 indexed citations

12.

Xie, Jialing, Lilei Wang, Yuliang Deng, et al.. (2023). Characterization of the key odorants in floral aroma green tea based on GC-E-Nose, GC-IMS, GC-MS and aroma recombination and investigation of the dynamic changes and aroma formation during processing. Food Chemistry. 427. 136641–136641. 102 indexed citations breakdown →

13.

Wang, Lilei, Jialing Xie, Yuliang Deng, et al.. (2023). Volatile profile characterization during the drying process of black tea by integrated volatolomics analysis. LWT. 184. 115039–115039. 22 indexed citations

14.

Xie, Jialing, Lilei Wang, Yuliang Deng, et al.. (2023). Characterization of Gardenia tea based on aroma profiles using GC-E-Nose, GC-O-MS and GC × GC-TOFMS combined with chemometrics. SHILAP Revista de lepidopterología. 4(1). 0–0. 14 indexed citations

15.

Yuan, Haibo, et al.. (2022). Novel insights into the effect of withering degree on Dianhong Congou black tea quality. International Journal of Food Science & Technology. 57(6). 3713–3726. 11 indexed citations

16.

Hua, Jinjie, et al.. (2022). Comparison on Main Flavoring Substances in New Shoots of Large Leaf Tea Cultivars with Different Varieties and Tenderness Based on Multivariate Statistical Analysis. SHILAP Revista de lepidopterología. 2 indexed citations

17.

Wang, Hua‐Jie, et al.. (2022). Assessment of Variations in Round Green Tea Volatile Metabolites During Manufacturing and Effect of Second-Drying Temperature via Nontargeted Metabolomic Analysis. Frontiers in Nutrition. 9. 877132–877132. 9 indexed citations

18.

Yuan, Haibo, et al.. (2009). Application of Bayes stepwise discrimination analysis on chemical recognition of green tea with chestnut-like aroma.. Chaye kexue. 29(1). 27–33. 4 indexed citations

19.

Jiang, Yongwen. (2008). Study on Formation of Theaflavins with Acidic Oxidation. Food Science. 1 indexed citations

20.

Jiang, Yongwen. (2008). Fingerprinting Construction and Genetic Diversity Analysis of Yunnan Dayezhong Tea Germplasm Resources by ISSR Markers. Zhiwu yichuan ziyuan xuebao. 1 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.

Explore authors with similar magnitude of impact