Qingchun Guo
- Environmental Engineering top 1%
- Health, Toxicology and Mutagenesis top 2%
- Global and Planetary Change top 5%
- Atmospheric Science top 5%
- Water Science and Technology top 10%
- Co-authors
- Zhenfang HeZhaosheng WangXinzhou LiXiaodong LiuZhi‐Yong YinRobin S. SmithBuwen DongJingjing Meng
- Topics
- Air Quality and Health Impacts (15 papers)Air Quality Monitoring and Forecasting (14 papers)COVID-19 impact on air quality (6 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qingchun Guo
41 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Environmental Engineering 642
- Health, Toxicology and Mutagenesis 444
- Global and Planetary Change 339
- Atmospheric Science 309
- Water Science and Technology 79
Countries citing papers authored by Qingchun Guo
This map shows the geographic impact of Qingchun Guo'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 Qingchun Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingchun Guo more than expected).
Fields of papers citing papers by Qingchun Guo
This network shows the impact of papers produced by Qingchun Guo. 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 Qingchun Guo. The network helps show where Qingchun Guo may publish in the future.
Co-authorship network of co-authors of Qingchun Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Qingchun Guo. A scholar is included among the top collaborators of Qingchun Guo 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 Qingchun Guo. Qingchun Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM2.5 Concentrations in Guangzhou Citybreakdown → | 30 |
| 3 | 1 | |
| 4 | Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng Citybreakdown → | 44 |
| 5 | 1 | |
| 6 | 34 | |
| 7 | Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM2.5 Concentrations: A Case Study in Dezhou City, Chinabreakdown → | 55 |
| 8 | 85 | |
| 9 | 6 | |
| 10 | 44 | |
| 11 | 44 | |
| 12 | 66 | |
| 13 | 7 | |
| 14 | 58 | |
| 15 | 12 | |
| 16 | 4 | |
| 17 | 54 | |
| 18 | 12 | |
| 19 | 41 | |
| 20 | Application of BP neural network model for prediction of water pollutants concentration in Taihu Lake | 3 |
About Qingchun Guo
Qingchun Guo is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Atmospheric Science, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (15 papers), Air Quality Monitoring and Forecasting (14 papers) and COVID-19 impact on air quality (6 papers). The work is most often cited by research in Environmental Engineering (642 citations), Health, Toxicology and Mutagenesis (444 citations) and Atmospheric Science (309 citations). Qingchun Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhenfang He, Zhaosheng Wang, Xinzhou Li, Xiaodong Liu, Zhi‐Yong Yin, Robin S. Smith, Buwen Dong, Jingjing Meng, Zhanfang Hou and Jiazhen Liu. Their work appears in journals such as The Science of The Total Environment, Scientific Reports and Environmental Pollution.
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.