Ling Huang

6.5k total citations · 1 hit paper
143 papers, 4.2k citations indexed

About

Ling Huang is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Ling Huang has authored 143 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Atmospheric Science, 52 papers in Health, Toxicology and Mutagenesis and 42 papers in Environmental Engineering. Recurrent topics in Ling Huang's work include Atmospheric chemistry and aerosols (54 papers), Air Quality and Health Impacts (52 papers) and Air Quality Monitoring and Forecasting (39 papers). Ling Huang is often cited by papers focused on Atmospheric chemistry and aerosols (54 papers), Air Quality and Health Impacts (52 papers) and Air Quality Monitoring and Forecasting (39 papers). Ling Huang collaborates with scholars based in China, United States and Malaysia. Ling Huang's co-authors include Yangjun Wang, Li Li, Syd Johnson, Sergey Gorlatov, Ezio Bonvini, Scott Koenig, Kun Zhang, Hua Li, Yonghui Zhu and Ansheng Zhu and has published in prestigious journals such as The Lancet, Nature Medicine and Environmental Science & Technology.

In The Last Decade

Ling Huang

136 papers receiving 4.1k citations

Hit Papers

Air quality changes durin... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Huang China 33 1.2k 977 827 769 730 143 4.2k
Paul N. Nelson Australia 42 198 0.2× 319 0.3× 253 0.3× 702 0.9× 615 0.8× 160 6.6k
Jacqueline Clavel France 44 1.4k 1.2× 92 0.1× 352 0.4× 766 1.0× 255 0.3× 177 6.0k
Stuart L. Simpson Australia 51 3.3k 2.8× 148 0.2× 464 0.6× 953 1.2× 541 0.7× 230 9.6k
Yihua Wu China 37 246 0.2× 323 0.3× 152 0.2× 1.3k 1.7× 347 0.5× 142 4.2k
Hua Guo China 24 113 0.1× 293 0.3× 233 0.3× 876 1.1× 934 1.3× 67 5.8k
Tingting Liao China 29 401 0.3× 497 0.5× 77 0.1× 521 0.7× 310 0.4× 162 2.7k
Susanne Becker United States 48 2.3k 1.9× 148 0.2× 99 0.1× 1.1k 1.4× 115 0.2× 124 7.5k
Gang Zeng China 32 185 0.2× 685 0.7× 150 0.2× 993 1.3× 869 1.2× 136 3.6k
M.M. Glovsky United States 26 656 0.6× 482 0.5× 178 0.2× 312 0.4× 196 0.3× 88 2.9k
Mark David United States 19 430 0.4× 264 0.3× 358 0.4× 1.9k 2.5× 40 0.1× 26 4.6k

Countries citing papers authored by Ling Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Huang. A scholar is included among the top collaborators of Ling Huang 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 Ling Huang. Ling Huang 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.
Wen, Q. G., et al.. (2024). Collaborative assimilation experiment of Beidou radiosonde and drone-dropped radiosonde based on CMA-TRAMS. Atmospheric and Oceanic Science Letters. 18(2). 100555–100555.
2.
Zhang, Binbin, Ling Huang, Rui Han, et al.. (2024). LncRNA MIR210HG promotes phenotype switching of pulmonary arterial smooth muscle cells through autophagy-dependent ferroptosis pathway. APOPTOSIS. 29(9-10). 1648–1662. 12 indexed citations
3.
Zhu, Ansheng, Ling Huang, Yangjun Wang, et al.. (2024). Sensitivity analysis of planetary boundary layer parameterization on meteorological simulations in the Yangtze river delta region, China. Environmental Science Atmospheres. 4(10). 1129–1144. 1 indexed citations
4.
Yi, Xin, Golam Sarwar, Qinyi Li, et al.. (2024). Potential environmental impact of the chlorine-containing disinfectants usage during the COVID-19. Atmospheric Environment. 335. 120734–120734. 1 indexed citations
5.
Du, Xiaohui, Wei Tang, Zhongzhi Zhang, et al.. (2023). Improving photochemical indicators for attributing ozone sensitivities in source apportionment analysis. Journal of Environmental Sciences. 143. 235–246. 1 indexed citations
6.
Wang, Qingsong, Juntao Huo, Hui Chen, et al.. (2023). Traffic, marine ships and nucleation as the main sources of ultrafine particles in suburban Shanghai, China. Environmental Science Atmospheres. 3(12). 1805–1819. 6 indexed citations
7.
Wang, Yangjun, Ling Huang, Kasemsan Manomaiphiboon, et al.. (2023). Differences between VOCs and NOx transport contributions, their impacts on O3, and implications for O3 pollution mitigation based on CMAQ simulation over the Yangtze River Delta, China. The Science of The Total Environment. 872. 162118–162118. 31 indexed citations
8.
Zhang, Kun, Zhiqiang Liu, Xiaojuan Zhang, et al.. (2022). Insights into the significant increase in ozone during COVID-19 in a typical urban city of China. Atmospheric chemistry and physics. 22(7). 4853–4866. 40 indexed citations
9.
Huang, Ling, Yonghui Zhu, Shuhui Xue, et al.. (2021). Recommendations on benchmarks for numerical air quality model applications in China – Part 1: PM 2.5 and chemical species. Atmospheric chemistry and physics. 21(4). 2725–2743. 81 indexed citations
10.
12.
Li, Rui, Qiongqiong Wang, Xiao He, et al.. (2020). Source apportionment of PM 2.5 in Shanghai based on hourly organic molecular markers and other source tracers. Atmospheric chemistry and physics. 20(20). 12047–12061. 52 indexed citations
13.
Fox, Julie M., Vicky Roy, Bronwyn M. Gunn, et al.. (2019). Optimal therapeutic activity of monoclonal antibodies against chikungunya virus requires Fc-FcγR interaction on monocytes. Science Immunology. 4(32). 58 indexed citations
15.
Li, Li, Shuhui Zhu, Jingyu An, et al.. (2019). Evaluation of the effect of regional joint-control measures on changing photochemical transformation: a comprehensive study of the optimization scenario analysis. Atmospheric chemistry and physics. 19(14). 9037–9060. 19 indexed citations
17.
Nordstrom, Jeffrey L., Sergey Gorlatov, Wenjun Zhang, et al.. (2011). Anti-tumor activity and toxicokinetics analysis of MGAH22, an anti-HER2 monoclonal antibody with enhanced Fcγ receptor binding properties. Breast Cancer Research. 13(6). R123–R123. 183 indexed citations
18.
Verı́, Maria-Concetta, Stephen Burke, Ling Huang, et al.. (2010). Therapeutic control of B cell activation via recruitment of Fcγ receptor IIb (CD32B) inhibitory function with a novel bispecific antibody scaffold. Arthritis & Rheumatism. 62(7). 1933–1943. 59 indexed citations
19.
Huang, Ling, et al.. (2009). What do we learn from EC (black carbon), OC and their Isotope Measurements in Fine Airborne PM over Canada?. Human & Experimental Toxicology. 35(9). 966–73. 1 indexed citations
20.
Stavenhagen, Jeffrey B., Sergey Gorlatov, Nadine Tuaillon, et al.. (2007). Fc Optimization of Therapeutic Antibodies Enhances Their Ability to Kill Tumor Cells In vitro and Controls Tumor Expansion In vivo via Low-Affinity Activating Fcγ Receptors. Cancer Research. 67(18). 8882–8890. 211 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026