Shuaiyi Shi

1.1k total citations
46 papers, 805 citations indexed

About

Shuaiyi Shi is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Shuaiyi Shi has authored 46 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 26 papers in Atmospheric Science and 17 papers in Environmental Engineering. Recurrent topics in Shuaiyi Shi's work include Atmospheric chemistry and aerosols (21 papers), Atmospheric aerosols and clouds (18 papers) and Air Quality and Health Impacts (11 papers). Shuaiyi Shi is often cited by papers focused on Atmospheric chemistry and aerosols (21 papers), Atmospheric aerosols and clouds (18 papers) and Air Quality and Health Impacts (11 papers). Shuaiyi Shi collaborates with scholars based in China, United States and United Kingdom. Shuaiyi Shi's co-authors include Xingfa Gu, Hong Guo, Xin Zuo, Wannan Wang, Fangwen Bao, Xiaochuan Zhang, Can Meng, Tianhai Cheng, Yu Wu and Tianhai Cheng and has published in prestigious journals such as The Science of The Total Environment, Water Research and Remote Sensing of Environment.

In The Last Decade

Shuaiyi Shi

43 papers receiving 787 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shuaiyi Shi China 16 425 405 310 261 61 46 805
Prashant Gargava India 15 296 0.7× 522 1.3× 227 0.7× 355 1.4× 99 1.6× 30 780
Fangwen Bao China 13 419 1.0× 348 0.9× 258 0.8× 216 0.8× 48 0.8× 27 698
Siqi Ye China 12 603 1.4× 604 1.5× 193 0.6× 372 1.4× 153 2.5× 19 858
Xu Feng China 17 462 1.1× 434 1.1× 446 1.4× 328 1.3× 93 1.5× 52 920
Dongsheng Wang China 16 334 0.8× 543 1.3× 174 0.6× 389 1.5× 187 3.1× 31 862
Xueming Zhou China 12 473 1.1× 443 1.1× 116 0.4× 166 0.6× 88 1.4× 33 691
Xin Xie China 14 618 1.5× 492 1.2× 194 0.6× 340 1.3× 123 2.0× 38 903
Avani Wildani United States 10 386 0.9× 579 1.4× 222 0.7× 548 2.1× 68 1.1× 31 931
Suli Zhao China 12 245 0.6× 522 1.3× 181 0.6× 419 1.6× 141 2.3× 18 804
Jan Peters Belgium 13 174 0.4× 632 1.6× 112 0.4× 518 2.0× 260 4.3× 28 836

Countries citing papers authored by Shuaiyi Shi

Since Specialization
Citations

This map shows the geographic impact of Shuaiyi Shi'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 Shuaiyi Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuaiyi Shi more than expected).

Fields of papers citing papers by Shuaiyi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuaiyi Shi. 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 Shuaiyi Shi. The network helps show where Shuaiyi Shi may publish in the future.

Co-authorship network of co-authors of Shuaiyi Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shuaiyi Shi. A scholar is included among the top collaborators of Shuaiyi Shi 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 Shuaiyi Shi. Shuaiyi Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Xing, et al.. (2025). Urban Waterlogging Monitoring and Recognition in Low-Light Scenarios Using Surveillance Videos and Deep Learning. Water. 17(5). 707–707. 3 indexed citations
2.
Wang, Xing, et al.. (2025). Estimating rainfall intensity from surveillance audio: A hybrid model-data-driven framework. Journal of Hydrology. 659. 133295–133295. 1 indexed citations
3.
Shi, Shuaiyi, Lin Chen, Yufei Zhang, et al.. (2025). Sulfidated Nanoscale Zero-Valent Iron (S-nZVI) Facilitates Remediation and Safe Crop Production in Cr(VI) and Microplastics Co-contaminated Soil. ACS ES&T Engineering. 5(6). 1513–1524. 2 indexed citations
4.
Chen, Lin, Yuanyuan Wang, Na Xu, et al.. (2024). An Improved Aerosol Retrieval Algorithm Based on Nonlinear Surface Model From FY-3D/MERSI-II Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 3 indexed citations
5.
Zhang, Yufei, Haoyang Fu, Xi Chen, et al.. (2024). Surface wettability control and electron transport regulation in zerovalent iron for enhanced removal of emerging polystyrene microplastics-heavy metal contaminants. Water Research. 256. 121602–121602. 15 indexed citations
6.
Zhang, Yufei, et al.. (2023). An iron “nano-fishnet” for the rapid removal and surface clean-up of micro/nanoplastics from seawater. Environmental Science Nano. 10(9). 2566–2577. 8 indexed citations
7.
Wang, Xing, Zhengwei Yang, Huihui Feng, et al.. (2023). A Multi-Stream Attention-Aware Convolutional Neural Network: Monitoring of Sand and Dust Storms from Ordinary Urban Surveillance Cameras. Remote Sensing. 15(21). 5227–5227. 2 indexed citations
8.
Shi, Shuaiyi, et al.. (2023). Validation of MERRA-2 AOT Modeling Data over China Using SIAVNET Measurement. Atmosphere. 14(10). 1592–1592.
9.
Gu, Xingfa, Yulin Zhan, Dakang Wang, et al.. (2022). The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images. Remote Sensing. 14(10). 2327–2327. 3 indexed citations
10.
Mumtaz, Faisal, Arfan Arshad, Ali Mirchi, et al.. (2021). Impacts of reduced deposition of atmospheric nitrogen on coastal marine eco-system during substantial shift in human activities in the twenty-first century. Geomatics Natural Hazards and Risk. 12(1). 2023–2047. 16 indexed citations
11.
Wang, Dakang, Tao Yu, Yan Liu, et al.. (2021). Estimating Daily Actual Evapotranspiration at a Landsat-Like Scale Utilizing Simulated and Remote Sensing Surface Temperature. Remote Sensing. 13(2). 225–225. 15 indexed citations
12.
Shi, Shuaiyi, Yanjun Ma, Fangwen Bao, & Faisal Mumtaz. (2021). A Satellite Data Based Detailed Study of the Aerosol Emitted from Open Biomass Burning in Northeast China. Atmosphere. 12(12). 1700–1700. 2 indexed citations
13.
Li, Xiaoyang, Tianhai Cheng, Shuaiyi Shi, et al.. (2021). Evaluating the impacts of burning biomass on PM2.5 regional transport under various emission conditions. The Science of The Total Environment. 793. 148481–148481. 25 indexed citations
14.
Guo, Hong, Xingfa Gu, Tianhai Cheng, et al.. (2021). High-Resolution Satellite-Based PM2.5 Concentration Data Acquired During the COVID-19 Outbreak Throughout China: Model, Variations, and Reasons. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 11070–11079. 3 indexed citations
15.
16.
Shi, Shuaiyi, Tianhai Cheng, Xingfa Gu, et al.. (2020). Probing the dynamic characteristics of aerosol originated from South Asia biomass burning using POLDER/GRASP satellite data with relevant accessory technique design. Environment International. 145. 106097–106097. 9 indexed citations
17.
Zuo, Xin, Hong Guo, Shuaiyi Shi, & Xiaochuan Zhang. (2020). Comparison of Six Machine Learning Methods for Estimating PM2.5 Concentration Using the Himawari-8 Aerosol Optical Depth. Journal of the Indian Society of Remote Sensing. 48(9). 1277–1287. 14 indexed citations
18.
Guo, Hong, Xingfa Gu, Guoxia Ma, et al.. (2019). Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017. Scientific Reports. 9(1). 15201–15201. 70 indexed citations
19.
Shi, Shuaiyi, Tianhai Cheng, Xingfa Gu, et al.. (2019). Biomass burning aerosol characteristics for different vegetation types in different aging periods. Environment International. 126. 504–511. 36 indexed citations
20.
Shi, Shuaiyi, et al.. (1998). Experimental Results of SIS Mixer with Distributed Junction Arrays. Softwaretechnik-Trends. 223. 2 indexed citations

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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