Yanlin Qi
Impact in
- Environmental Engineering top 2%
- Air Quality Monitoring and Forecasting
- Hydrological Forecasting Using AI
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- Air Quality and Health Impacts
Papers in
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- Data Mining Algorithms and Applications 4
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- Advanced Graph Neural Networks 2
- Imbalanced Data Classification Techniques 1
- Co-authors
- Hamed Karimian (2 shared papers)Qi Li (2 shared papers)Di Liu (1 shared paper)Chunlin Wu (1 shared paper)Xianfeng Zhang (1 shared paper)Wensheng Gan (3 shared papers)Guoting Chen (4 shared papers)Philippe Fournier‐Viger (1 shared paper)
- Journals
- Applied Intelligence (1 paper)ACM Transactions on Information Systems (1 paper)The Science of The Total Environment (1 paper)Information Sciences (1 paper)Transactions in GIS (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yanlin Qi
8 papers receiving 602 citations
Yanlin Qi's Hit Papers
Peers
Comparison fields: 5 of 64
- Environmental Engineering 488
- Health, Toxicology and Mutagenesis 397
- Automotive Engineering 177
- Atmospheric Science 123
- Global and Planetary Change 68
Countries citing papers authored by Yanlin Qi
This map shows the geographic impact of Yanlin Qi'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 Yanlin Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanlin Qi more than expected).
Fields of papers citing papers by Yanlin Qi
This network shows the impact of papers produced by Yanlin Qi. 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 Yanlin Qi. The network helps show where Yanlin Qi may publish in the future.
Co-authors
The 18 scholars most cited alongside Yanlin Qi, 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 | A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory Hit paper breakdown → | 2019 | 443 |
| 2 | 2019 | 121 | |
| 3 | 2022 | 18 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 10 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 1 | |
| 9 | 2025 | 0 |
About Yanlin Qi
Yanlin Qi is a scholar working on Information Systems, Artificial Intelligence, Computational Theory and Mathematics, Marketing and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 615 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Rough Sets and Fuzzy Logic (3 papers), Advanced Graph Neural Networks (2 papers), Air Quality and Health Impacts (2 papers), Air Quality Monitoring and Forecasting (2 papers), Customer churn and segmentation (2 papers), Imbalanced Data Classification Techniques (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Environmental Engineering (488 citations), Health, Toxicology and Mutagenesis (397 citations), Automotive Engineering (177 citations), Atmospheric Science (123 citations) and Global and Planetary Change (68 citations). Yanlin Qi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hamed Karimian, Qi Li, Di Liu, Chunlin Wu, Xianfeng Zhang, Wensheng Gan, Guoting Chen, Philippe Fournier‐Viger, Xiaojie Zhang and Gengchen Mai. Their work appears in journals such as Applied Intelligence, ACM Transactions on Information Systems, The Science of The Total Environment, Information Sciences and Transactions in GIS.
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.