Nini Pang

1.1k citations
7 papers · 777 · 1 hit paper · h-index 5

Impact in

Papers in

Nini Pang

6 papers receiving 764 citations

Nini Pang's Hit Papers

Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China 2020 · 648 citations
6480+2+4Years since publication200400600

Peers

Nini Pang
Comparison fields: 5 of 48
  • Health, Toxicology and Mutagenesis 648
  • Atmospheric Science 415
  • Global and Planetary Change 465
  • Environmental Engineering 305
  • Modeling and Simulation 24
Replace Liangduo Chen with:
Liangduo Chen China
Chuanhua Ren China
Xiaoqin Shi United States
Will S. Drysdale United Kingdom
Arineh Cholakian France
Marta Via Spain
Zhuozhi Shu China
Gongda Lu United Kingdom
Radenko Pavlovic Canada
Seyedali Mousavinezhad United States
Nini Pang relative to Liangduo Chen China Liangduo Chen's profile →
Citations per field
00.5×1.5×
Liangduo Chen · 1×
Citations per year

Countries citing papers authored by Nini Pang

Since Specialization
Citations

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

Fields of papers citing papers by Nini Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Nini Pang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nini Pang Line = papers co-authored together Nini Pang links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China
Hit paper breakdown →
2020648
2 202045
3 202040
4 202036
5 20236
6 20202
7 20230

About Nini Pang

Nini Pang is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Environmental Engineering, Global and Planetary Change and Automotive Engineering, having authored 7 papers that have together received 777 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (6 papers), Atmospheric chemistry and aerosols (5 papers), Air Quality Monitoring and Forecasting (3 papers), Vehicle emissions and performance (1 paper), Millimeter-Wave Propagation and Modeling (1 paper), Climate Change and Health Impacts (1 paper), Atmospheric aerosols and clouds (1 paper) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (648 citations), Atmospheric Science (415 citations), Global and Planetary Change (465 citations), Environmental Engineering (305 citations) and Modeling and Simulation (24 citations). Nini Pang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Pusheng Zhao, Zhongjun Xu, Fahe Chai, Jian Gang Gao, Guohun Zhu, Wei Tang, Lirong Hui, Jie Yuan, Fei Che and Jiayuan Liu. Their work appears in journals such as Chemosphere, Atmospheric Pollution Research, National Science Review, Journal of Environmental Sciences and Atmospheric Environment.

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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