Jingming Ning

5.4k total citations · 2 hit papers
145 papers, 4.3k citations indexed

About

Jingming Ning is a scholar working on Pathology and Forensic Medicine, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Jingming Ning has authored 145 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Pathology and Forensic Medicine, 72 papers in Analytical Chemistry and 59 papers in Biomedical Engineering. Recurrent topics in Jingming Ning's work include Tea Polyphenols and Effects (107 papers), Spectroscopy and Chemometric Analyses (63 papers) and Advanced Chemical Sensor Technologies (59 papers). Jingming Ning is often cited by papers focused on Tea Polyphenols and Effects (107 papers), Spectroscopy and Chemometric Analyses (63 papers) and Advanced Chemical Sensor Technologies (59 papers). Jingming Ning collaborates with scholars based in China, United States and Sweden. Jingming Ning's co-authors include Zhengzhu Zhang, Yujie Wang, Luqing Li, Wei‐Wei Deng, Guangxin Ren, Yuming Wei, Xiaochun Wan, Shanshan Shen, Ying Liu and Tiehan Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Jingming Ning

138 papers receiving 4.3k citations

Hit Papers

Sensomics analysis of the effect of the withering method ... 2022 2026 2023 2024 2022 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingming Ning China 41 2.2k 1.9k 1.6k 1.3k 1.0k 145 4.3k
Zhengzhu Zhang China 48 2.2k 1.0× 2.0k 1.0× 1.3k 0.8× 1.5k 1.1× 873 0.9× 176 6.5k
Haibo Yuan China 34 2.1k 0.9× 604 0.3× 1.7k 1.1× 525 0.4× 1.1k 1.0× 106 3.1k
Chunwang Dong China 30 989 0.4× 875 0.4× 718 0.4× 718 0.5× 378 0.4× 85 2.0k
Yongwen Jiang China 34 1.6k 0.7× 501 0.3× 1.2k 0.8× 433 0.3× 813 0.8× 76 2.7k
Jânio Sousa Santos Brazil 24 557 0.2× 526 0.3× 1.2k 0.7× 371 0.3× 908 0.9× 57 3.1k
Luqing Li China 26 584 0.3× 1.0k 0.5× 344 0.2× 789 0.6× 203 0.2× 56 1.7k
Wei‐Wei Deng China 33 1.7k 0.7× 392 0.2× 1.0k 0.6× 261 0.2× 716 0.7× 97 3.1k
Olga Busto Spain 35 146 0.1× 1.3k 0.7× 1.7k 1.0× 1.2k 0.9× 445 0.4× 74 3.4k
Montserrat Mestres Spain 31 144 0.1× 1.1k 0.6× 1.6k 1.0× 970 0.7× 412 0.4× 71 2.9k
Dejiang Ni China 31 1.2k 0.5× 246 0.1× 936 0.6× 316 0.2× 641 0.6× 105 2.8k

Countries citing papers authored by Jingming Ning

Since Specialization
Citations

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

Fields of papers citing papers by Jingming Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingming Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Jingming Ning. A scholar is included among the top collaborators of Jingming Ning 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 Jingming Ning. Jingming Ning 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.
Jiang, Yanqun, et al.. (2025). Effects of different drying methods on color difference, taste and chemical components of Yunnan Congou black tea. LWT. 223. 117696–117696. 2 indexed citations
2.
Wang, Shengpeng, Clemens Altaner, Feng Lin, et al.. (2025). A review: Integration of NIRS and chemometric methods for tea quality control-principles, spectral preprocessing methods, machine learning algorithms, research progress, and future directions. Food Research International. 205. 115870–115870. 12 indexed citations
3.
Wei, Yuming, Yaya Yu, Yuanchao Li, et al.. (2025). Aroma compounds with enhanced sweet perception in tea infusions: Screening, characterization, and sweetening mechanism. Journal of Advanced Research. 81. 1–12. 3 indexed citations
4.
Wang, Wenya, et al.. (2025). LED spectral tailoring directs flavor metabolites during white tea withering. LWT. 231. 118316–118316.
5.
Huang, Junlan, Jixin Zhang, Zhenbin Chen, et al.. (2024). Sensory-directed flavor analysis of Jinggu white tea: Exploring the formation mechanisms of sweet and fruity aromas. Food Chemistry X. 24. 102026–102026. 8 indexed citations
6.
Wang, Yujie, et al.. (2024). The shaking and standing processing improve the aroma quality of summer black tea. Food Chemistry. 454. 139772–139772. 25 indexed citations
8.
Lin, Zhi, Yin Zhu, Zhihui Feng, et al.. (2024). Dynamic changes and the effects of key procedures on the characteristic aroma compounds of Lu’an Guapian green tea during the manufacturing process. Food Research International. 188. 114525–114525. 20 indexed citations
9.
Zou, Li, et al.. (2024). Mechanism of aroma formation in white tea treated with solar withering. Food Research International. 194. 114917–114917. 12 indexed citations
10.
Ning, Jingming, et al.. (2023). Cost-effective colorimetric sensor for authentication of protected designation of origin (PDO) Longjing green tea. Food Chemistry. 427. 136673–136673. 7 indexed citations
11.
Ren, Guangxin, et al.. (2023). Description of tea quality using deep learning and multi-sensor feature fusion. Journal of Food Composition and Analysis. 126. 105924–105924. 14 indexed citations
12.
Wei, Yuming, Jixin Zhang, Tiehan Li, et al.. (2023). GC–MS, GC–O, and sensomics analysis reveals the key odorants underlying the improvement of yellow tea aroma after optimized yellowing. Food Chemistry. 431. 137139–137139. 47 indexed citations
13.
Jin, Ge, Yuanyuan Zhu, Chuanjian Cui, et al.. (2023). Tracing the origin of Taiping Houkui green tea using 1H NMR and HS-SPME-GC–MS chemical fingerprints, data fusion and chemometrics. Food Chemistry. 425. 136538–136538. 30 indexed citations
14.
Ho, Chi‐Tang, Zhi Lin, Yin Zhu, et al.. (2023). Sensomics-Assisted Characterization of Key Flowery Aroma Compounds in Lu’an Guapian Green Tea Infusion (Camellia sinensis). Journal of Agricultural and Food Chemistry. 13 indexed citations
15.
Jin, Ge, Chuanjian Cui, Yuanyuan Zhu, et al.. (2022). Rapid identification of the geographic origin of Taiping Houkui green tea using near‐infrared spectroscopy combined with a variable selection method. Journal of the Science of Food and Agriculture. 102(13). 6123–6130. 17 indexed citations
16.
Wei, Yuming, Shimao Fang, Ge Jin, et al.. (2020). Effects of two yellowing process on colour, taste and nonvolatile compounds of bud yellow tea. International Journal of Food Science & Technology. 55(8). 2931–2941. 25 indexed citations
17.
Ning, Jingming, et al.. (2016). Identification of Dark Tea (<em>Camellia sinensis</em> (L.)) Origins According to Chemical Composition Combined with Bayes Classification Pattern Recognition. Advance Journal of Food Science and Technology. 12(3). 150–154. 1 indexed citations
18.
Ning, Jingming, et al.. (2016). Identification of Black Tea from Four Countries by Using Near-infrared Spectroscopy and Support Vector Data Description Pattern Recognition. Advance Journal of Food Science and Technology. 11(4). 337–343. 4 indexed citations
19.
Ning, Jingming, et al.. (2010). Fingerprint identification method of Pu'er raw tea based on high performance liquid chromatography profiles. Nongye gongcheng xuebao. 2010(3). 243–248. 2 indexed citations
20.
Ning, Jingming, et al.. (2010). Changes of aroma constituents of Qimen raw black tea during processing.. Anhui Nongye Daxue xuebao. 37(3). 471–477. 3 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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