Yanlin Qi

802 citations
8 papers · 590 · 1 hit paper · h-index 6

Impact in

Papers in

Yanlin Qi

8 papers receiving 572 citations

Yanlin Qi's Hit Papers

A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory 2019 · 427 citations
4270+2+4Years since publication100200300400

Peers

Yanlin Qi
Comparison fields: 5 of 63
  • Environmental Engineering 472
  • Health, Toxicology and Mutagenesis 390
  • Automotive Engineering 175
  • Atmospheric Science 120
  • Global and Planetary Change 66
Replace Shaolong Cui with:
Shaolong Cui China
Guojian Zou China
Chengzeng You China
Hongbin Dai China
Huaxing Lin China
David Hasenfratz Switzerland
K. Krishna Rani Samal India
Xinghan Xu China
Zhiwei Wan China
Unsok Ryu China
Yanlin Qi relative to Shaolong Cui China Shaolong Cui's profile →
Citations per field
00.5×1.5×2.3×
Shaolong Cui · 1×
Citations per year

Countries citing papers authored by Yanlin Qi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

8 of 8 papers shown
#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 →
2019427
2 2019118
3 202216
4 202312
5 20239
6 20245
7 20232
8 20221

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 8 papers that have together received 590 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Rough Sets and Fuzzy Logic (3 papers), Air Quality Monitoring and Forecasting (2 papers), Customer churn and segmentation (2 papers), Advanced Graph Neural Networks (2 papers), Air Quality and Health Impacts (2 papers), Semantic Web and Ontologies (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Environmental Engineering (472 citations), Health, Toxicology and Mutagenesis (390 citations), Automotive Engineering (175 citations), Atmospheric Science (120 citations) and Global and Planetary Change (66 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, Guoting Chen, Wensheng Gan, Philippe Fournier‐Viger, Rui Zhu and Gengchen Mai. Their work appears in journals such as Information Sciences, ACM Transactions on Information Systems, Aerosol and Air Quality Research, Expert Systems with Applications 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.

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