Jun‐Li Xu

2.9k total citations · 2 hit papers
74 papers, 2.1k citations indexed

About

Jun‐Li Xu is a scholar working on Analytical Chemistry, Biomedical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jun‐Li Xu has authored 74 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Analytical Chemistry, 21 papers in Biomedical Engineering and 17 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jun‐Li Xu's work include Spectroscopy and Chemometric Analyses (36 papers), Microplastics and Plastic Pollution (13 papers) and Advanced Chemical Sensor Technologies (13 papers). Jun‐Li Xu is often cited by papers focused on Spectroscopy and Chemometric Analyses (36 papers), Microplastics and Plastic Pollution (13 papers) and Advanced Chemical Sensor Technologies (13 papers). Jun‐Li Xu collaborates with scholars based in Ireland, China and Netherlands. Jun‐Li Xu's co-authors include Aoife Gowen, Da‐Wen Sun, Kevin V. Thomas, Zisheng Luo, Xiaohui Lin, Cecilia Riccioli, Jing Jing Wang, Puneet Mishra, Ana Herrero‐Langreo and Hongyan Zhu and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Jun‐Li Xu

74 papers receiving 2.1k 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.

FTIR and Raman imaging for microplastics analysis: State of the art, challenges and prospects

2019 458 citations Jun‐Li Xu, Aoife Gowen et al. TrAC Trends in Analytical Chemistry profile →
Are microplastics bad for your health? More rigorous science is needed

2025 21 citations Jun‐Li Xu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun‐Li Xu Ireland	25	763	670	664	613	248	74	2.1k
A. L. Amaral Portugal	25	596 0.8×	354 0.5×	176 0.3×	292 0.5×	325 1.3×	89	1.6k
Xiuying Tang China	21	77 0.1×	146 0.2×	560 0.8×	357 0.6×	150 0.6×	93	1.2k
Sergey Kucheryavskiy Denmark	19	161 0.2×	146 0.2×	658 1.0×	382 0.6×	272 1.1×	53	1.5k
Cristina Malegori Italy	22	83 0.1×	156 0.2×	686 1.0×	450 0.7×	204 0.8×	55	1.3k
Jorge C. Oliveira Ireland	34	174 0.2×	164 0.2×	361 0.5×	306 0.5×	354 1.4×	138	3.7k
Shungeng Min China	19	67 0.1×	290 0.4×	953 1.4×	388 0.6×	192 0.8×	79	1.4k
Ya Guo China	30	154 0.2×	125 0.2×	391 0.6×	203 0.3×	426 1.7×	125	2.7k
Bernd Hitzmann Germany	31	68 0.1×	205 0.3×	750 1.1×	917 1.5×	1.5k 5.9×	232	3.5k
B. Liebmann Austria	11	1.7k 2.2×	1.1k 1.7×	210 0.3×	438 0.7×	180 0.7×	18	2.3k
Rui Oliveira Portugal	36	654 0.9×	128 0.2×	159 0.2×	857 1.4×	1.8k 7.3×	116	4.0k

Countries citing papers authored by Jun‐Li Xu

Since Specialization

Citations

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

Fields of papers citing papers by Jun‐Li Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Li Xu. 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 Jun‐Li Xu. The network helps show where Jun‐Li Xu may publish in the future.

Co-authorship network of co-authors of Jun‐Li Xu

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

All Works

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20 of 20 papers shown

Zhu, Hongyan, et al.. (2025). A BOX-YOLOv8 framework for automated hyperspectral core analysis. Geoderma. 458. 117325–117325. 2 indexed citations

Nag, Rajat, et al.. (2024). Deciphering the cytotoxicity of micro- and nanoplastics in Caco-2 cells through meta-analysis and machine learning. Environmental Pollution. 362. 124971–124971. 5 indexed citations

Gowen, Aoife, et al.. (2024). Analysing micro- and nanoplastics with cutting-edge infrared spectroscopy techniques: a critical review. Analytical Methods. 16(15). 2177–2197. 28 indexed citations

Xie, Junhao, et al.. (2024). Machine learning driven methodology for enhanced nylon microplastic detection and characterization. Scientific Reports. 14(1). 3464–3464. 21 indexed citations

Zhu, Hongyan, et al.. (2024). Using Multi-Sensor Data Fusion Techniques and Machine Learning Algorithms for Improving UAV-Based Yield Prediction of Oilseed Rape. Drones. 8(11). 642–642. 5 indexed citations

Tarafdar, Abhrajyoti, Junhao Xie, Aoife Gowen, Amy O’Higgins, & Jun‐Li Xu. (2024). Advanced optical photothermal infrared spectroscopy for comprehensive characterization of microplastics from intravenous fluid delivery systems. The Science of The Total Environment. 929. 172648–172648. 24 indexed citations

Mishra, Puneet & Jun‐Li Xu. (2023). Multimodal close range hyperspectral imaging combined with multiblock sequential predictive modelling for fresh produce analysis. Journal of Near Infrared Spectroscopy. 31(3). 141–149. 6 indexed citations

Xu, Jun‐Li, et al.. (2023). Real-Time Detection of Strawberry Ripeness Using Augmented Reality and Deep Learning. Sensors. 23(17). 7639–7639. 9 indexed citations

Xu, Jun‐Li & Puneet Mishra. (2022). Combining deep learning with chemometrics when it is really needed: A case of real time object detection and spectral model application for spectral image processing. Analytica Chimica Acta. 1202. 339668–339668. 20 indexed citations

10.

Mishra, Puneet, Jun‐Li Xu, Kristian Hovde Liland, & Thanh Tran. (2022). META-PLS modelling: An integrated approach to automatic model optimization for near-infrared spectra. Analytica Chimica Acta. 1221. 340142–340142. 10 indexed citations

11.

Mishra, Puneet, Dário Passos, Federico Marini, et al.. (2022). Deep learning for near-infrared spectral data modelling: Hypes and benefits. TrAC Trends in Analytical Chemistry. 157. 116804–116804. 119 indexed citations

12.

Wu, Lulu, Yu Hou, Jun‐Li Xu, & Yong Zhao. (2022). Robust Mesh Segmentation Using Feature-Aware Region Fusion. Sensors. 23(1). 416–416. 2 indexed citations

13.

Xu, Jun‐Li, Xiaohui Lin, Jing Jing Wang, & Aoife Gowen. (2022). A review of potential human health impacts of micro- and nanoplastics exposure. The Science of The Total Environment. 851(Pt 1). 158111–158111. 149 indexed citations

14.

Xu, Jun‐Li, Siewert Hugelier, Hongyan Zhu, & Aoife Gowen. (2020). Deep learning for classification of time series spectral images using combined multi-temporal and spectral features. Analytica Chimica Acta. 1143. 9–20. 22 indexed citations

15.

Lin, Xiaohui, Jun‐Li Xu, & Da‐Wen Sun. (2020). Evaluating drying feature differences between ginger slices and splits during microwave-vacuum drying by hyperspectral imaging technique. Food Chemistry. 332. 127407–127407. 60 indexed citations

16.

Wang, Yulong, Jun‐Li Xu, Yulou Qiu, et al.. (2019). Highly Specific Monoclonal Antibody and Sensitive Quantum Dot Beads-Based Fluorescence Immunochromatographic Test Strip for Tebuconazole Assay in Agricultural Products. Journal of Agricultural and Food Chemistry. 67(32). 9096–9103. 67 indexed citations

17.

Qiu, Yulou, Pan Li, Beibei Liu, et al.. (2019). Phage-displayed nanobody based double antibody sandwich chemiluminescent immunoassay for the detection of Cry2A toxin in cereals. Food and Agricultural Immunology. 30(1). 924–936. 18 indexed citations

18.

Herrero‐Langreo, Ana, Nathalie Gorretta, Bruno Tisseyre, et al.. (2019). Using spatial information for evaluating the quality of prediction maps from hyperspectral images: A geostatistical approach. Analytica Chimica Acta. 1077. 116–128. 9 indexed citations

19.

Xu, Jun‐Li & Aoife Gowen. (2018). Investigation of plasticizer aggregation problem in casein based biopolymer using chemical imaging. Talanta. 193. 128–138. 5 indexed citations

20.

Xu, Jun‐Li, Aoife Gowen, & Da‐Wen Sun. (2017). Time series hyperspectral chemical imaging (HCI) for investigation of spectral variations associated with water and plasticizers in casein based biopolymers. Journal of Food Engineering. 218. 88–105. 30 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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