Shaolong Cui
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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- Peer-to-Peer Network Technologies 1
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- Data Management and Algorithms 2
- Co-authors
- Tianhe Chi (4 shared papers)Xiaojing Yao (4 shared papers)Yuan Hu (1 shared paper)Ling Peng (1 shared paper)Chengzeng You (1 shared paper)Li Xiang (1 shared paper)Dehai Zhu (1 shared paper)Sijing Ye (1 shared paper)
- Journals
- Remote Sensing (1 paper)Environmental Pollution (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
In The Last Decade
Shaolong Cui
7 papers receiving 526 citations
Shaolong Cui's Hit Papers
Peers
Comparison fields: 5 of 66
- Environmental Engineering 417
- Health, Toxicology and Mutagenesis 328
- Automotive Engineering 148
- Atmospheric Science 94
- Global and Planetary Change 71
Countries citing papers authored by Shaolong Cui
This map shows the geographic impact of Shaolong Cui'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 Shaolong Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolong Cui more than expected).
Fields of papers citing papers by Shaolong Cui
This network shows the impact of papers produced by Shaolong Cui. 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 Shaolong Cui. The network helps show where Shaolong Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaolong Cui, 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 | Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation Hit paper breakdown → | 2017 | 491 |
| 2 | 2018 | 37 | |
| 3 | 2017 | 3 | |
| 4 | 2011 | 1 | |
| 5 | 2018 | 1 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 1 |
About Shaolong Cui
Shaolong Cui is a scholar working on Computer Networks and Communications, Signal Processing, Media Technology, Environmental Engineering and Automotive Engineering, having authored 7 papers that have together received 535 indexed citations. Recurring topics across this work include Data Management and Algorithms (2 papers), Inertial Sensor and Navigation (1 paper), Remote-Sensing Image Classification (1 paper), Air Quality Monitoring and Forecasting (1 paper), Peer-to-Peer Network Technologies (1 paper), Remote Sensing and LiDAR Applications (1 paper), Smart Cities and Technologies (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Environmental Engineering (417 citations), Health, Toxicology and Mutagenesis (328 citations), Automotive Engineering (148 citations), Atmospheric Science (94 citations) and Global and Planetary Change (71 citations). Shaolong Cui has collaborated with scholars based in China, Taiwan and Germany. Frequent co-authors include Tianhe Chi, Xiaojing Yao, Yuan Hu, Ling Peng, Chengzeng You, Li Xiang, Dehai Zhu, Sijing Ye, Diyou Liu and Wen Zhuo. Their work appears in journals such as Remote Sensing, Environmental Pollution and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.