Junwei Xu

1.3k total citations · 1 hit paper
18 papers, 505 citations indexed

About

Junwei Xu is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Junwei Xu has authored 18 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 8 papers in Health, Toxicology and Mutagenesis and 7 papers in Global and Planetary Change. Recurrent topics in Junwei Xu's work include Atmospheric chemistry and aerosols (12 papers), Air Quality and Health Impacts (8 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Junwei Xu is often cited by papers focused on Atmospheric chemistry and aerosols (12 papers), Air Quality and Health Impacts (8 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Junwei Xu collaborates with scholars based in China, United States and Canada. Junwei Xu's co-authors include Randall V. Martin, Aaron van Donkelaar, Chi Li, Dawei Li, Shuo Han, Madeleine Strum, Jianmin Chen, Jun Meng, Lin Huang and Zhaoqin Zhu and has published in prestigious journals such as Environmental Science & Technology, Atmospheric Environment and Atmospheric chemistry and physics.

In The Last Decade

Junwei Xu

17 papers receiving 499 citations

Hit Papers

Multi-YOLOv8: An infrared moving small object detection m... 2024 2026 2025 2024 10 20 30 40 50
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.

  1. Multi-YOLOv8: An infrared moving small object detection model based on YOLOv8 for air vehicle
    2024 58 citations Junwei Xu, Dawei Li et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junwei Xu China 9 299 281 223 91 32 18 505
Wenhao Wang China 11 106 0.4× 198 0.7× 84 0.4× 155 1.7× 29 0.9× 26 354
Majid Hussain Pakistan 9 243 0.8× 202 0.7× 193 0.9× 99 1.1× 29 0.9× 15 449
Q. Zhang China 6 330 1.1× 328 1.2× 152 0.7× 138 1.5× 11 0.3× 11 473
Hunter Brown United States 11 284 0.9× 84 0.3× 250 1.1× 115 1.3× 11 0.3× 37 510
Joo Wan South Korea 12 242 0.8× 101 0.4× 215 1.0× 155 1.7× 4 0.1× 46 387
Xunlai Chen China 13 283 0.9× 116 0.4× 165 0.7× 108 1.2× 6 0.2× 32 400
Pietro Monforte Italy 13 109 0.4× 164 0.6× 98 0.4× 164 1.8× 9 0.3× 18 349
Tongshu Zheng United States 7 138 0.5× 355 1.3× 96 0.4× 368 4.0× 13 0.4× 9 432

Countries citing papers authored by Junwei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junwei Xu

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

All Works

18 of 18 papers shown
1.
Han, Shuo, et al.. (2025). IDDNet: Infrared Object Detection Network Based on Multi-Scale Fusion Dehazing. Sensors. 25(7). 2169–2169. 1 indexed citations
2.
3.
Zhao, Jie, et al.. (2024). High-Quality Image Compression Algorithm Design Based on Unsupervised Learning. Sensors. 24(20). 6503–6503. 2 indexed citations
4.
Xu, Junwei, et al.. (2024). Multi-YOLOv8: An infrared moving small object detection model based on YOLOv8 for air vehicle. Neurocomputing. 588. 127685–127685. 58 indexed citations breakdown →
5.
Xu, Junwei, Jintai Lin, Gan Luo, Jamiu Adetayo Adeniran, & Hao Kong. (2023). Foreign emissions exacerbate PM 2.5 pollution in China through nitrate chemistry. Atmospheric chemistry and physics. 23(7). 4149–4163. 7 indexed citations
6.
Xu, Junwei, Jintai Lin, Dan Tong, & Lulu Chen. (2023). The underappreciated role of transboundary pollution in future air quality and health improvements in China. Atmospheric chemistry and physics. 23(17). 10075–10089. 2 indexed citations
7.
Neumann, James E., Susan C. Anenberg, Patrick L. Kinney, et al.. (2021). Estimating PM2.5-related premature mortality and morbidity associated with future wildfire emissions in the western US. Environmental Research Letters. 16(3). 35019–35019. 65 indexed citations
8.
Xu, Junwei, Randall V. Martin, Greg J. Evans, et al.. (2021). Predicting Spatial Variations in Multiple Measures of Oxidative Burden for Outdoor Fine Particulate Air Pollution across Canada. Environmental Science & Technology. 55(14). 9750–9760. 15 indexed citations
9.
Xu, Junwei, Randall V. Martin, Barron H. Henderson, et al.. (2019). Simulation of airborne trace metals in fine particulate matter over North America. Atmospheric Environment. 214. 116883–116883. 16 indexed citations
10.
Meng, Jun, Randall V. Martin, Chi Li, et al.. (2019). Source Contributions to Ambient Fine Particulate Matter for Canada. Environmental Science & Technology. 53(17). 10269–10278. 55 indexed citations
11.
Hanna, Sarah, Junwei Xu, Jason C. Schroder, et al.. (2018). Refractory black carbon at the Whistler Peak High Elevation Research Site – Measurements and simulations. Atmospheric Environment. 181. 34–46. 2 indexed citations
12.
Xu, Junwei, Randall V. Martin, Sangeeta Sharma, et al.. (2017). Source attribution of Arctic black carbon constrained by aircraft and surface measurements. Atmospheric chemistry and physics. 17(19). 11971–11989. 56 indexed citations
13.
Li, Chi, Randall V. Martin, Aaron van Donkelaar, et al.. (2017). Trends in Chemical Composition of Global and Regional Population-Weighted Fine Particulate Matter Estimated for 25 Years. Environmental Science & Technology. 51(19). 11185–11195. 89 indexed citations
14.
Xu, Junwei, Randall V. Martin, Aaron van Donkelaar, et al.. (2015). Estimating ground-level PM 2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument. Atmospheric chemistry and physics. 15(22). 13133–13144. 61 indexed citations
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Jia, Xuan, Tiantao Cheng, Jianmin Chen, Junwei Xu, & Yonghang Chen. (2012). Columnar Optical Depth and Vertical Distribution of Aerosols over Shanghai. Aerosol and Air Quality Research. 12(3). 320–330. 7 indexed citations
18.
Xu, Junwei, Jun Tao, Renjian Zhang, et al.. (2012). Measurements of surface aerosol optical properties in winter of Shanghai. Atmospheric Research. 109-110. 25–35. 67 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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