Leiqing Pan

4.6k total citations
184 papers, 3.5k citations indexed

About

Leiqing Pan is a scholar working on Analytical Chemistry, Plant Science and Biomedical Engineering. According to data from OpenAlex, Leiqing Pan has authored 184 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Analytical Chemistry, 58 papers in Plant Science and 53 papers in Biomedical Engineering. Recurrent topics in Leiqing Pan's work include Spectroscopy and Chemometric Analyses (93 papers), Advanced Chemical Sensor Technologies (39 papers) and Meat and Animal Product Quality (33 papers). Leiqing Pan is often cited by papers focused on Spectroscopy and Chemometric Analyses (93 papers), Advanced Chemical Sensor Technologies (39 papers) and Meat and Animal Product Quality (33 papers). Leiqing Pan collaborates with scholars based in China, Australia and United States. Leiqing Pan's co-authors include Kang Tu, Ye Sun, Qiang Liu, Ke Sun, Xinzhe Gu, Sicong Tu, Jing Peng, Hui Xiao, Renfu Lu and Yingying Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Leiqing Pan

179 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leiqing Pan China 33 1.7k 1.2k 1.1k 833 571 184 3.5k
Shyam Narayan Jha India 33 1.2k 0.7× 1.2k 1.0× 750 0.7× 791 0.9× 511 0.9× 76 3.1k
Wenchuan Guo China 35 1.5k 0.9× 780 0.6× 930 0.8× 1.1k 1.3× 238 0.4× 126 3.2k
Jesús M. Frías Ireland 41 1.1k 0.7× 1.5k 1.2× 695 0.6× 1.5k 1.8× 581 1.0× 114 4.6k
K.I. Theron South Africa 19 2.0k 1.2× 1.5k 1.3× 608 0.5× 509 0.6× 294 0.5× 102 3.2k
Wies Cynkar Australia 29 1.5k 0.9× 772 0.6× 829 0.7× 1.3k 1.5× 254 0.4× 40 2.5k
Dolores Pérez‐Marín Spain 34 2.5k 1.4× 747 0.6× 993 0.9× 577 0.7× 555 1.0× 172 3.4k
Alessandro Ulrici Italy 35 1.2k 0.7× 491 0.4× 964 0.9× 642 0.8× 412 0.7× 127 3.0k
Fernando Mendoza United States 26 1.4k 0.8× 1.1k 0.9× 523 0.5× 677 0.8× 167 0.3× 49 2.6k
Douglas Fernandes Barbin Brazil 37 3.1k 1.8× 645 0.5× 1.7k 1.5× 833 1.0× 816 1.4× 118 4.3k
Xingyi Huang China 36 1.4k 0.8× 474 0.4× 1.9k 1.7× 610 0.7× 1.2k 2.1× 125 3.8k

Countries citing papers authored by Leiqing Pan

Since Specialization
Citations

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

Fields of papers citing papers by Leiqing Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leiqing Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Leiqing Pan. A scholar is included among the top collaborators of Leiqing Pan 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 Leiqing Pan. Leiqing Pan 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.
Chen, Man, Mingrui Chen, Xiao Dong Chen, et al.. (2025). Deep learning combined Monte Carlo simulation reveal the fundamental light propagation in apple puree: Monitoring the quality changes from different cultivar, storage period and heating duration. Food Research International. 207. 115997–115997. 1 indexed citations
2.
Zhao, Jingyuan, Jinhua Mi, Jing Peng, et al.. (2025). Hyperspectral imaging coupled with transformer enhanced convolutional autoencoder architecture towards real-time multi-target classification of damaged soybeans. Food Control. 179. 111606–111606. 1 indexed citations
3.
Li, Qinglin, Juan Francisco García Martín, Kang Tu, et al.. (2025). Quantitative Prediction and Kinetic Modelling for the Thermal Inactivation of Brochothrix thermosphacta in Beef Using Hyperspectral Imaging. Foods. 14(16). 2778–2778. 1 indexed citations
4.
Wang, Zhenjie, Mengyao Wang, Shiyu Song, et al.. (2024). Optical properties related to cell wall pectin contribute to determine the firmness and microstructural changes during apple softening. Postharvest Biology and Technology. 218. 113150–113150. 13 indexed citations
5.
Pan, Leiqing, et al.. (2024). Study on color and flavor changes of 4D printed white mushroom gel with microcapsules containing gelatin / β-cyclodextrin induced by microwave heating. International Journal of Biological Macromolecules. 279(Pt 3). 135365–135365. 4 indexed citations
6.
Song, Kechen, et al.. (2024). Nondestructive in-ovo sexing of Hy-Line Sonia eggs by EggFormer using hyperspectral imaging. Computers and Electronics in Agriculture. 225. 109298–109298. 6 indexed citations
7.
Tian, Jingjing, Tingting Shen, Zhihong Xin, et al.. (2024). Non-invasive anticipation of infusion taste in fine-manipulated green teas through hyperspectral appearance analysis guided by ECG content. Food Chemistry. 458. 140254–140254. 1 indexed citations
8.
9.
Bureau, Sylvie, Xiaochan Wang, Fei He, et al.. (2024). Use of optical absorption and scattering properties to monitor the change of chemical characteristics, particle structure and viscoelasticity during apple puree processing. Food Chemistry. 461. 140935–140935. 2 indexed citations
10.
11.
Sun, Ye, Xiaochan Wang, Leiqing Pan, & Yonghong Hu. (2023). Influence of maturity on bruise detection of peach by structured multispectral imaging. Current Research in Food Science. 6. 100476–100476. 10 indexed citations
12.
Li, Yiting, Mengyao Wang, Song Jin, et al.. (2023). Exploring the limit of detection on early implicit bruised ‘Korla’ fragrant pears using hyperspectral imaging features and spectral variables. Postharvest Biology and Technology. 208. 112668–112668. 20 indexed citations
13.
Li, Yiting, Song Jin, Zhenjie Wang, et al.. (2023). Study on Black Spot Disease Detection and Pathogenic Process Visualization on Winter Jujubes Using Hyperspectral Imaging System. Foods. 12(3). 435–435. 19 indexed citations
14.
Fan, Xia, et al.. (2023). Characterization of flavor frame in grape wines detected by HS-SPME-GC-MS coupled with HPLC, electronic nose, and electronic tongue. SHILAP Revista de lepidopterología. 3(1). 0–0. 3 indexed citations
15.
Martín, Juan Francisco García, Yan Ge, Kang Tu, et al.. (2023). Non-invasive prediction of mango quality using near-infrared spectroscopy: Assessment on spectral interferences of different packaging materials. Journal of Food Engineering. 357. 111653–111653. 16 indexed citations
16.
Dong, Qingli, et al.. (2022). Application Progress of Hyperspectral Imaging Technology in Rapid Detection of Microbial Contamination in Animal Derived Food. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Wang, Ping, et al.. (2022). Preparation of Intelligent Indicator Label and Its Application in Beef Freshness Monitoring. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Liu, Chang, et al.. (2022). Response Surface Optimization of the Fermentation Process of Tomato Juice by Lactobacillus plantarum and Its Quality Evaluation. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Pan, Leiqing, et al.. (2018). Detection of soluble solids content in‘ Korla fragrant pear’ based on hyperspectral imaging and CARS-IRIV algorithm. Nanjing Nongye Daxue xuebao. 41(4). 760–766. 6 indexed citations
20.
Tu, Kang, et al.. (2008). Detection of internal defect in apples by acoustic impulse technique. Science and Technology of Food Industry. 29(7). 235–238. 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.

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