Lin Wu

4.2k total citations
135 papers, 2.7k citations indexed

About

Lin Wu is a scholar working on Atmospheric Science, Automotive Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Lin Wu has authored 135 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Atmospheric Science, 62 papers in Automotive Engineering and 61 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Lin Wu's work include Vehicle emissions and performance (62 papers), Air Quality and Health Impacts (61 papers) and Atmospheric chemistry and aerosols (50 papers). Lin Wu is often cited by papers focused on Vehicle emissions and performance (62 papers), Air Quality and Health Impacts (61 papers) and Atmospheric chemistry and aerosols (50 papers). Lin Wu collaborates with scholars based in China, France and United States. Lin Wu's co-authors include Hongjun Mao, Marc Bocquet, Carlos Pires, Chao Zou, Qijun Zhang, Jianfei Peng, Frédéric Chevallier, Ting Wang, Ning Wei and Vivien Mallet and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Lin Wu

126 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Wu China 28 1.5k 1.3k 1000 973 719 135 2.7k
Rafael Borge Spain 33 1.3k 0.9× 2.0k 1.6× 852 0.9× 596 0.6× 1.3k 1.8× 95 2.9k
Philippe Thunis Italy 35 1.9k 1.3× 2.1k 1.6× 962 1.0× 785 0.8× 1.0k 1.4× 101 3.0k
Alain Clappier France 27 1.5k 1.1× 1.3k 1.0× 539 0.5× 909 0.9× 2.2k 3.0× 78 3.3k
E.R. Jayaratne Australia 27 998 0.7× 1.7k 1.3× 932 0.9× 793 0.8× 821 1.1× 77 3.1k
Ming Chang China 28 1.8k 1.2× 1.6k 1.3× 746 0.7× 760 0.8× 804 1.1× 124 2.9k
Michael Gauss Norway 28 1.7k 1.2× 1.1k 0.9× 734 0.7× 1.1k 1.1× 745 1.0× 48 2.6k
Qinwen Tan China 29 2.3k 1.6× 2.2k 1.7× 695 0.7× 413 0.4× 1.4k 1.9× 95 3.3k
Akula Venkatram United States 31 1.8k 1.2× 2.0k 1.5× 947 0.9× 933 1.0× 2.0k 2.8× 156 3.7k
Yang Sun China 33 2.7k 1.9× 2.3k 1.8× 472 0.5× 1.4k 1.4× 1.1k 1.6× 84 3.5k
Jarkko V. Niemi Finland 33 1.6k 1.1× 2.1k 1.6× 776 0.8× 577 0.6× 1.1k 1.5× 85 2.8k

Countries citing papers authored by Lin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Wu. A scholar is included among the top collaborators of Lin Wu 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 Wu. Lin Wu 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.
Wu, Lin, et al.. (2025). Angus: efficient active learning strategies for provenance based intrusion detection. Cybersecurity. 8(1). 2 indexed citations
2.
Fan, Zhaoyang, et al.. (2025). Improved Ship Emission Model Considering Load Factor‐Based Power and Hull Shape: Implication in a Chinese Port Cluster. Journal of Geophysical Research Atmospheres. 130(4).
3.
Wu, Lin, et al.. (2024). 3D-AOCL: Analytic online continual learning for imbalanced 3D point cloud classification. Alexandria Engineering Journal. 111. 530–539. 1 indexed citations
4.
Wu, Lin, Danni Liang, Shaojie Song, et al.. (2024). Atmospheric environment characteristic of severe dust storms and its impact on sulfate formation in downstream city. The Science of The Total Environment. 922. 171128–171128. 4 indexed citations
5.
Wei, Ning, et al.. (2024). Sustainable transportation emission reduction through intelligent transportation systems: Mitigation drivers, and temporal trends. Environmental Impact Assessment Review. 112. 107767–107767. 5 indexed citations
6.
Chen, Xueshun, Zhe Wang, Qing Mu, et al.. (2024). Modeling of polycyclic aromatic hydrocarbons (PAHs) from global to regional scales: model development (IAP-AACM_PAH v1.0) and investigation of health risks in 2013 and 2018 in China. Geoscientific model development. 17(24). 8885–8907. 3 indexed citations
7.
Peng, Jianfei, Zongxuan Li, Jiayuan Liu, et al.. (2024). Transforming waste brake pads from automobiles into Nano-Catalyst: Synergistic Fe-C-Cu triple sites for efficient fenton-like oxidation of organic pollutants. Waste Management. 175. 225–234. 7 indexed citations
8.
Li, Zongxuan, Yan Liu, Ting Wang, et al.. (2024). Tailpipe volatile organic compounds (VOCs) emissions from Chinese gasoline vehicles under different vehicle standards, fuel types, and driving conditions. Atmospheric Environment. 323. 120348–120348. 11 indexed citations
9.
Fang, Tiange, Ting Wang, Chao Zou, et al.. (2023). Heavy vehicles’ non-exhaust exhibits competitive contribution to PM2.5 compared with exhaust in port and nearby areas. Environmental Pollution. 333. 122124–122124. 5 indexed citations
10.
Wei, Ning, Xiaoyang Zhao, Lin Wu, et al.. (2023). Energy saving and emission reduction effects from the application of green light optimized speed advisory on plug-in hybrid vehicle. Journal of Cleaner Production. 412. 137452–137452. 16 indexed citations
11.
Zhang, Qijun, et al.. (2023). Regenerative braking system effectively reduces the formation of brake wear particles. Journal of Hazardous Materials. 465. 133350–133350. 15 indexed citations
12.
Zhang, Jinsheng, Jianfei Peng, Congbo Song, et al.. (2020). Vehicular non-exhaust particulate emissions in Chinese megacities: Source profiles, real-world emission factors, and inventories. Environmental Pollution. 266(Pt 2). 115268–115268. 90 indexed citations
14.
Broquet, Grégoire, François‐Marie Bréon, Emmanuel Renault, et al.. (2018). The potential of satellite spectro-imagery for monitoring CO 2 emissions from large cities. Atmospheric measurement techniques. 11(2). 681–708. 59 indexed citations
15.
Wu, Lin, et al.. (2017). On the upward flux of sea‐spray spume droplets in high‐wind conditions. Journal of Geophysical Research Atmospheres. 122(11). 5976–5987. 6 indexed citations
16.
Wu, Lin, et al.. (2017). Response of maize canopy to environmental factors in the middle reach oasis of Heihe River Basin.. Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture. 25(2). 247–257.
17.
Broquet, Grégoire, François‐Marie Bréon, V. Puygrenier, et al.. (2016). The first 1-year-long estimate of the Paris region fossil fuel CO 2 emissions based on atmospheric inversion. Atmospheric chemistry and physics. 16(22). 14703–14726. 77 indexed citations
18.
Wang, Yukun, et al.. (2016). Identification and determination of its critical values for influencing factors of cultivated land reclamation strength in region of Brahmaputra River and its two tributaries in Tibet. Nongye Gongcheng Xuebao. 32(15). 246. 1 indexed citations
19.
Wu, Lin. (2005). Ecological Assessment in Land Consolidation Project Based on Spatial Analyst of Grid Data——A Case Study of Fenggang,Nankang City in Jiangxi Province. Zhongguo tudi kexue.
20.
Wu, Lin. (1995). URBAN4: AN Urban Canopy Layer Surface Energy Balance Climate Model. PhDT. 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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