Lin Sun

9.7k total citations · 9 hit papers
173 papers, 6.4k citations indexed

About

Lin Sun is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Lin Sun has authored 173 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Atmospheric Science, 86 papers in Global and Planetary Change and 55 papers in Environmental Engineering. Recurrent topics in Lin Sun's work include Atmospheric aerosols and clouds (62 papers), Atmospheric chemistry and aerosols (55 papers) and Remote Sensing in Agriculture (41 papers). Lin Sun is often cited by papers focused on Atmospheric aerosols and clouds (62 papers), Atmospheric chemistry and aerosols (55 papers) and Remote Sensing in Agriculture (41 papers). Lin Sun collaborates with scholars based in China, United States and United Kingdom. Lin Sun's co-authors include Jing Wei, Zhanqing Li, Maureen Cribb, Wenhao Xue, Yiran Peng, Alexei Lyapustin, Tianning Su, Wei Huang, Anna Korhonen and Jianping Guo and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Lin Sun

161 papers receiving 6.2k citations

Hit Papers

Reconstructing 1-km-resol... 2018 2026 2020 2023 2020 2020 2019 2021 2020 250 500 750
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. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications
    2020 790 citations Jing Wei, Zhanqing Li et al. profile →
  2. Improved 1 km resolution PM 2.5 estimates across China using enhanced space–time extremely randomized trees
    2020 449 citations Jing Wei, Zhanqing Li et al. Atmospheric chemistry and physics profile →
  3. Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach
    2019 401 citations Jing Wei, Wei Huang et al. profile →
  4. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China
    2021 381 citations Jing Wei, Zhanqing Li et al. profile →
  5. The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China
    2020 304 citations Jing Wei, Zhanqing Li et al. profile →
  6. MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison
    2018 265 citations Jing Wei, Zhanqing Li et al. Atmospheric Environment profile →
  7. Satellite-Derived 1-km-Resolution PM1 Concentrations from 2014 to 2018 across China
    2019 261 citations Jing Wei, Zhanqing Li et al. Environmental Science & Technology profile →
  8. Ground-Level NO2Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence
    2022 188 citations Jing Wei, Song Liu et al. Environmental Science & Technology profile →
  9. Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data
    2023 97 citations Jing Wei, Zhanqing Li et al. Environmental Science & Technology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lin Sun 2.8k 2.6k 2.5k 2.1k 593 173 6.4k
Man Sing Wong 1.8k 0.7× 1.6k 0.6× 2.5k 1.0× 2.9k 1.4× 504 0.8× 262 6.5k
Janet E. Nichol 1.7k 0.6× 2.6k 1.0× 3.7k 1.4× 3.3k 1.6× 1.3k 2.1× 190 7.2k
Tongwen Li 1.4k 0.5× 1.5k 0.6× 1.3k 0.5× 1.9k 0.9× 458 0.8× 73 3.6k
Muhammad Bilal 1.3k 0.5× 2.7k 1.0× 3.1k 1.2× 1.3k 0.6× 420 0.7× 160 4.7k
Hui Lin 652 0.2× 2.3k 0.9× 2.8k 1.1× 2.1k 1.0× 2.0k 3.4× 276 7.4k
Jianping Guo 4.6k 1.7× 9.1k 3.4× 8.1k 3.2× 3.3k 1.6× 452 0.8× 382 12.8k
Soe W. Myint 2.7k 1.0× 1.9k 0.7× 4.5k 1.8× 4.4k 2.1× 2.1k 3.6× 128 8.2k
Changshan Wu 829 0.3× 1.1k 0.4× 2.9k 1.1× 2.1k 1.0× 1.2k 2.0× 89 4.9k
Qingfeng Guan 741 0.3× 721 0.3× 2.6k 1.0× 864 0.4× 859 1.4× 185 5.3k

Countries citing papers authored by Lin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Lin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Sun. A scholar is included among the top collaborators of Lin Sun 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 Lin Sun. Lin Sun 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.
Sun, Lin, et al.. (2024). EA U2-Net: An Efficient Building Extraction Algorithm Based on Complex Background Information. IEEE Access. 12. 111579–111592. 1 indexed citations
2.
Xie, Shuai, et al.. (2023). Comparisons between temporal statistical metrics, time series stacks and phenological features derived from NASA Harmonized Landsat Sentinel-2 data for crop type mapping. Computers and Electronics in Agriculture. 211. 108015–108015. 8 indexed citations
3.
Wei, Jing, Zhanqing Li, Xi Chen, et al.. (2023). Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data. Environmental Science & Technology. 57(46). 18282–18295. 97 indexed citations breakdown →
4.
5.
Wei, Jing, Zhanqing Li, Alexei Lyapustin, et al.. (2023). First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact. Nature Communications. 14(1). 8349–8349. 85 indexed citations
6.
Sun, Lin, et al.. (2022). Comparative Analysis of Several Typical Landsat 8 OLI Cloud Detection Methods. Remote Sensing. 14(3). 719–719. 1 indexed citations
7.
8.
Wei, Jing, Zhanqing Li, Lin Sun, et al.. (2021). Extending the EOS Long-Term PM2.5 Data Records Since 2013 in China: Application to the VIIRS Deep Blue Aerosol Products. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 7 indexed citations
9.
He, Lijie, Lunche Wang, Zhengqiang Li, et al.. (2021). VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China. Atmospheric Environment. 250. 118265–118265. 20 indexed citations
10.
Wei, Jing, Zhanqing Li, R. T. Pinker, et al.. (2021). Himawari-8-derived diurnal variations in ground-level PM 2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM). Atmospheric chemistry and physics. 21(10). 7863–7880. 120 indexed citations
11.
Wei, Jing, Zhanqing Li, Maureen Cribb, et al.. (2020). Improved 1 km resolution PM 2.5 estimates across China using enhanced space–time extremely randomized trees. Atmospheric chemistry and physics. 20(6). 3273–3289. 449 indexed citations breakdown →
12.
Wei, Jing, Zhanqing Li, Lin Sun, Yiran Peng, & Lunche Wang. (2019). Improved merge schemes for MODIS Collection 6.1 Dark Target and Deep Blue combined aerosol products. Atmospheric Environment. 202. 315–327. 35 indexed citations
13.
Wei, Jing, et al.. (2019). Enhanced Aerosol Estimations From Suomi-NPP VIIRS Images Over Heterogeneous Surfaces. IEEE Transactions on Geoscience and Remote Sensing. 57(12). 9534–9543. 16 indexed citations
14.
Li, Hua, Qinhuo Liu, Yikun Yang, et al.. (2019). Comparison of the MuSyQ and MODIS Collection 6 Land Surface Temperature Products Over Barren Surfaces in the Heihe River Basin, China. IEEE Transactions on Geoscience and Remote Sensing. 57(10). 8081–8094. 43 indexed citations
15.
Shutova, Ekaterina & Lin Sun. (2013). Unsupervised Metaphor Identification Using Hierarchical Graph Factorization Clustering. North American Chapter of the Association for Computational Linguistics. 978–988. 31 indexed citations
16.
Sun, Lin, Diana McCarthy, & Anna Korhonen. (2013). Diathesis alternation approximation for verb clustering. Meeting of the Association for Computational Linguistics. 2. 736–741. 2 indexed citations
17.
Sun, Lin. (2012). Study on Bohai seaice monitoring based on hyperspectral remote sensing imagery. Cehui kexue. 5 indexed citations
18.
Sun, Lin & Anna Korhonen. (2011). Hierarchical Verb Clustering Using Graph Factorization. Empirical Methods in Natural Language Processing. 1023–1033. 10 indexed citations
19.
Shutova, Ekaterina, Lin Sun, & Anna Korhonen. (2010). Metaphor Identification Using Verb and Noun Clustering. International Conference on Computational Linguistics. 1002–1010. 112 indexed citations
20.
Sun, Lin. (2010). Classroom teaching quality assessment based on support vector machine. Journal of Hefei University of Technology. 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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