Jinglan Fu

ORCID: 0009-0008-1114-5359
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About
Contact & Profiles
Research Areas
  • Atmospheric chemistry and aerosols
  • Air Quality and Health Impacts
  • Air Quality Monitoring and Forecasting
  • Extraction and Separation Processes
  • Software Testing and Debugging Techniques
  • Advanced Malware Detection Techniques
  • Metal Extraction and Bioleaching
  • Autonomous Vehicle Technology and Safety
  • Vehicle emissions and performance
  • Traffic and Road Safety
  • Recycling and Waste Management Techniques
  • Human-Automation Interaction and Safety
  • Green IT and Sustainability
  • Software System Performance and Reliability
  • Software Engineering Research

University of Groningen
2025

Karlsruhe Institute of Technology
2025

Guangzhou Institute of Geochemistry
2016

Chinese Academy of Sciences
2016

Abstract. Sulfur dioxide (SO2) can enhance the formation of secondary aerosols from biogenic volatile organic compounds (VOCs), but its influence on aerosol anthropogenic VOCs, particularly complex mixtures like vehicle exhaust, remains uncertain. Gasoline exhaust (GVE) and SO2, a typical pollutant coal burning, are directly co-introduced into smog chamber, in this study, to investigate (SOA) sulfate through photooxidation. New particle was enhanced, while substantial formed oxidation SO2...

10.5194/acp-16-675-2016 article EN cc-by Atmospheric chemistry and physics 2016-01-21

Abstract. Particulate nitrate is a major component of ambient aerosol around the world, present in inorganic form mainly as ammonium nitrate, and also organic nitrate. It increasing importance to monitor particulate reservoir urban nitrogen oxides that can be transported downwind harm ecosystems. The unit-mass-resolution time-of-flight chemical speciation monitoring equipped with capture vaporizer (CV-UMR-ToF-ACSM) designed quantitatively PM2.5 composition. In this paper, we describe method...

10.5194/amt-2024-191 preprint EN cc-by 2025-01-09

The goal of the CAINA project is to investigate multiple aspects aerosol-cloud interactions under high concentrations reactive nitrogen. a consortium (7 PhD students) that combines in-situ and remote sensing observations aerosols clouds with high-resolution modeling study formation CCN, cloud chemistry, aerosol effects on nitrogen concentrations. This chemical regime starting emerge in many regions globe following strong reduction SO2 emissions consequently particulate sulfate presentation...

10.5194/egusphere-egu25-16078 preprint EN 2025-03-15

Android Apps are frequently updated to keep up with changing user, hardware, and business demands. Ensuring the correctness of App updates through extensive testing is crucial avoid potential bugs reaching end user. Existing tools generate GUI events that focus on improving test coverage entire rather than prioritising impacted elements. Recent research has proposed change-focused but relies random exploration exercise change-impacted elements ineffective slow for large complex a huge input...

10.1145/3639477.3639749 article EN 2024-04-14

Abstract. Sulfur dioxide (SO2) can enhance the formation of secondary aerosols from biogenic volatile organic compounds (VOCs), but its influence on aerosol anthropogenic VOCs, particularly complex mixtures like vehicle exhausts, is still poorly understood. Here we directly co-introduced gasoline vehicles exhausts (GVE) and SO2, a typical pollutant coal burning, into smog chamber to investigate (SOA) sulfate through photooxidation. In presence high concentration new particle was enhanced...

10.5194/acpd-15-23613-2015 preprint EN cc-by 2015-09-02

Android Apps are frequently updated to keep up with changing user, hardware, and business demands. Ensuring the correctness of App updates through extensive testing is crucial avoid potential bugs reaching end user. Existing tools generate GUI events focussing on improving test coverage entire rather than prioritising its impacted elements. Recent research has proposed change-focused but relies random exploration exercise elements that ineffective slow for large complex a huge input space....

10.48550/arxiv.2309.01519 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01
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