Shikuan Jin

1.1k total citations
48 papers, 734 citations indexed

About

Shikuan Jin is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Shikuan Jin has authored 48 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Atmospheric Science, 39 papers in Global and Planetary Change and 11 papers in Environmental Engineering. Recurrent topics in Shikuan Jin's work include Atmospheric aerosols and clouds (35 papers), Atmospheric chemistry and aerosols (33 papers) and Atmospheric Ozone and Climate (15 papers). Shikuan Jin is often cited by papers focused on Atmospheric aerosols and clouds (35 papers), Atmospheric chemistry and aerosols (33 papers) and Atmospheric Ozone and Climate (15 papers). Shikuan Jin collaborates with scholars based in China, France and United States. Shikuan Jin's co-authors include Yingying Ma, Boming Liu, Wei Gong, Yifan Shi, Xin Ma, Wei Gong, Zizheng Guo, Lixia Chen, Kunlong Yin and D.P. Shrestha and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Geophysical Research Letters.

In The Last Decade

Shikuan Jin

44 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shikuan Jin China 17 543 515 175 135 94 48 734
Bogdan Antonescu Romania 18 809 1.5× 742 1.4× 168 1.0× 88 0.7× 20 0.2× 53 999
Andres Schmidt United States 13 370 0.7× 258 0.5× 125 0.7× 123 0.9× 11 0.1× 29 550
Shyam Sundar Kundu India 11 355 0.7× 341 0.7× 58 0.3× 141 1.0× 161 1.7× 43 515
Jin Dai China 13 495 0.9× 491 1.0× 86 0.5× 130 1.0× 11 0.1× 30 682
Swagata Payra India 16 801 1.5× 765 1.5× 223 1.3× 234 1.7× 19 0.2× 44 981
Temple R. Lee United States 18 487 0.9× 498 1.0× 209 1.2× 115 0.9× 10 0.1× 46 730
Bing Tong China 12 279 0.5× 279 0.5× 141 0.8× 47 0.3× 24 0.3× 35 527
Xiaoguang Jiang China 15 157 0.3× 257 0.5× 285 1.6× 31 0.2× 23 0.2× 45 502
Neil P. Lareau United States 16 747 1.4× 620 1.2× 165 0.9× 70 0.5× 38 0.4× 35 877

Countries citing papers authored by Shikuan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shikuan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikuan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shikuan Jin. A scholar is included among the top collaborators of Shikuan Jin 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 Shikuan Jin. Shikuan Jin 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.
2.
Wang, Weiyan, Yingying Ma, Shikuan Jin, et al.. (2024). An improved framework for quantifying the contribution of climatic and anthropogenic factors to vegetation dynamics - A case study of China. Journal of Environmental Management. 370. 122967–122967. 1 indexed citations
3.
Liu, Boming, Xin Ma, Jianping Guo, et al.. (2024). Extending the wind profile beyond the surface layer by combining physical and machine learning approaches. Atmospheric chemistry and physics. 24(7). 4047–4063. 23 indexed citations
4.
Li, Hui, et al.. (2024). Influence of clouds on planetary boundary layer height: A comparative study and factors analysis. Atmospheric Research. 314. 107784–107784. 12 indexed citations
5.
Ma, Yingying, et al.. (2024). New insights into black carbon light absorption enhancement: A comprehensive analysis of two differential behaviors. Environmental Pollution. 355. 124175–124175. 2 indexed citations
6.
7.
Jin, Shikuan, Yingying Ma, Zhongwei Huang, et al.. (2023). A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia. Atmospheric chemistry and physics. 23(14). 8187–8210. 24 indexed citations
8.
Lĭ, Hui, et al.. (2023). Exploring the Conversion Model from Aerosol Extinction Coefficient to PM1, PM2.5 and PM10 Concentrations. Remote Sensing. 15(11). 2742–2742. 2 indexed citations
9.
Liu, Boming, Xin Ma, Jianping Guo, et al.. (2023). Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment. Atmospheric chemistry and physics. 23(5). 3181–3193. 37 indexed citations
10.
Jin, Shikuan, Yingying Ma, Cheng Chen, et al.. (2022). Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm. Atmospheric measurement techniques. 15(14). 4323–4337. 16 indexed citations
11.
Ma, Yingying, Ming Zhang, Yiming Liu, et al.. (2022). Aerosol Characteristics during the COVID-19 Lockdown in China: Optical Properties, Vertical Distribution, and Potential Source. Remote Sensing. 14(14). 3336–3336. 7 indexed citations
12.
Li, Hui, Boming Liu, Xin Ma, et al.. (2022). The Influence of Temperature Inversion on the Vertical Distribution of Aerosols. Remote Sensing. 14(18). 4428–4428. 6 indexed citations
13.
Ma, Yingying, Boming Liu, Hui Li, et al.. (2021). Estimation of the vertical distribution of particle matter (PM 2.5 ) concentration and its transport flux from lidar measurements based on machine learning algorithms. Atmospheric chemistry and physics. 21(22). 17003–17016. 25 indexed citations
14.
Ma, Yingying, Shikuan Jin, Xin Ma, et al.. (2021). Black Carbon over Wuhan, China: Seasonal Variations in Its Optical Properties, Radiative Forcing and Contribution to Atmospheric Aerosols. Remote Sensing. 13(18). 3620–3620. 6 indexed citations
15.
Jin, Shikuan, Ming Zhang, Yingying Ma, et al.. (2021). Adapting the Dark Target Algorithm to Advanced MERSI Sensor on the FengYun-3-D Satellite: Retrieval and Validation of Aerosol Optical Depth Over Land. IEEE Transactions on Geoscience and Remote Sensing. 59(10). 8781–8797. 31 indexed citations
16.
Jin, Shikuan, et al.. (2021). Characteristics of vertical atmosphere based on five-year microwave remote sensing data over Wuhan region. Atmospheric Research. 260. 105710–105710. 9 indexed citations
17.
Xu, Xin, et al.. (2021). BP Neural Network Retrieval for Remote Sensing Atmospheric Profile of Ground-Based Microwave Radiometer. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 15 indexed citations
18.
Ma, Xin, Weicheng Jiang, Yingying Ma, et al.. (2021). Variations in Nocturnal Residual Layer Height and Its Effects on Surface PM2.5 over Wuhan, China. Remote Sensing. 13(22). 4717–4717. 5 indexed citations
19.
Jin, Shikuan, et al.. (2020). TEMPORAL-SPATIAL CHANGES IN AEROSOLS DURING WINTER HAZE OF WUHAN： A TYPICAL HIGH-HUMID INLAND CITY IN CENTRAL CHINA. SHILAP Revista de lepidopterología. XLIII-B3-2020. 807–812. 1 indexed citations
20.
Chen, Lixia, Zizheng Guo, Kunlong Yin, D.P. Shrestha, & Shikuan Jin. (2019). The influence of land use and land cover change on landslide susceptibility: a case study in Zhushan Town, Xuan'en County (Hubei, China). Natural hazards and earth system sciences. 19(10). 2207–2228. 104 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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