Danni Liang
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- Air Quality and Health Impacts 18
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols 18
- Environmental Engineering top 2%
- Air Quality Monitoring and Forecasting 11
- Automotive Engineering top 5%
- Vehicle emissions and performance 2
- Global and Planetary Change top 10%
- Atmospheric aerosols and clouds 3
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- Neural dynamics and brain function 2
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- Healthcare cost, quality, practices 2
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- Respiratory viral infections research 2
Danni Liang
31 papers receiving 948 citations
Peers
Comparison fields: 5 of 99
- Health, Toxicology and Mutagenesis 713
- Atmospheric Science 679
- Environmental Engineering 383
- Automotive Engineering 187
- Global and Planetary Change 183
Countries citing papers authored by Danni Liang
This map shows the geographic impact of Danni Liang'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 Danni Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Liang more than expected).
Fields of papers citing papers by Danni Liang
This network shows the impact of papers produced by Danni Liang. 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 Danni Liang. The network helps show where Danni Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danni Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 45 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 33 | |
| 13 | 2021 | 62 | |
| 14 | Pollution characteristics and refined source apportionment of PM2 .5 in environmental receptor in Weifang | 2020 | 1 |
| 15 | 2020 | 172 | |
| 16 | 2018 | 54 | |
| 17 | 2017 | 191 | |
| 18 | 2016 | 211 | |
| 19 | Effects of chromium picolinate on serum biochemical parameters of heat-stressed carp,Carassius auratus gibelio | 2011 | 1 |
| 20 | Nutrient Apparent Digestibility of Seven Kinds of Feed Ingredients for Jian Carp(Cyprinus carpio var.Jian) | 2010 | 2 |
About Danni Liang
Danni Liang is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Environmental Engineering, Animal Science and Zoology and Aquatic Science, having authored 40 papers that have together received 959 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (18 papers), Atmospheric chemistry and aerosols (18 papers), Air Quality Monitoring and Forecasting (11 papers), Atmospheric aerosols and clouds (3 papers), Neural dynamics and brain function (2 papers), Vehicle emissions and performance (2 papers), Healthcare cost, quality, practices (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (713 citations), Atmospheric Science (679 citations), Environmental Engineering (383 citations), Automotive Engineering (187 citations) and Global and Planetary Change (183 citations). Danni Liang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yinchang Feng, Yufen Zhang, Xiaohui Bi, Qili Dai, Baoshuang Liu, Jianhui Wu, Jiamei Yang, Philip K. Hopke, Zhimei Xiao and Hong Xu. Their work appears in journals such as The Science of The Total Environment, PEDIATRICS, Environmental Pollution, Journal of Hazardous Materials 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.