Shikui Dong

2.0k total citations
102 papers, 1.6k citations indexed

About

Shikui Dong is a scholar working on Computational Mechanics, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Shikui Dong has authored 102 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Mechanics, 30 papers in Aerospace Engineering and 20 papers in Biomedical Engineering. Recurrent topics in Shikui Dong's work include Radiative Heat Transfer Studies (34 papers), Combustion and flame dynamics (24 papers) and Atmospheric aerosols and clouds (14 papers). Shikui Dong is often cited by papers focused on Radiative Heat Transfer Studies (34 papers), Combustion and flame dynamics (24 papers) and Atmospheric aerosols and clouds (14 papers). Shikui Dong collaborates with scholars based in China, Denmark and Singapore. Shikui Dong's co-authors include Zhihong He, He‐Ping Tan, Xiao Yang, Lei Zhao, Qinglin Niu, Tao Sun, Yongda Yan, Han Liu, Yingchun Liang and Wenming Yang and has published in prestigious journals such as The Science of The Total Environment, Chemical Physics Letters and Nanoscale.

In The Last Decade

Shikui Dong

93 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shikui Dong China 23 690 421 420 266 263 102 1.6k
Yong Huang China 22 1.0k 1.5× 187 0.4× 378 0.9× 461 1.7× 139 0.5× 195 1.7k
Michael Dreyer Germany 22 984 1.4× 459 1.1× 816 1.9× 86 0.3× 429 1.6× 147 2.6k
Hong-Liang Yi China 29 1.4k 2.0× 654 1.6× 261 0.6× 866 3.3× 766 2.9× 243 3.3k
Hiroshi Kobayashi Japan 21 379 0.5× 128 0.3× 325 0.8× 180 0.7× 201 0.8× 196 1.5k
Kazuo Suzuki Japan 21 324 0.5× 308 0.7× 147 0.3× 121 0.5× 215 0.8× 139 1.7k
Jon P. Longtin United States 25 601 0.9× 454 1.1× 352 0.8× 69 0.3× 476 1.8× 118 2.0k
Tairan Fu China 27 306 0.4× 235 0.6× 524 1.2× 343 1.3× 221 0.8× 94 1.8k
Yanbao Ma United States 21 871 1.3× 177 0.4× 424 1.0× 94 0.4× 244 0.9× 73 2.1k
Pei‐feng Hsu United States 18 991 1.4× 254 0.6× 300 0.7× 301 1.1× 64 0.2× 84 1.4k
A. M. K. P. Taylor United Kingdom 29 2.2k 3.1× 456 1.1× 549 1.3× 65 0.2× 189 0.7× 110 2.8k

Countries citing papers authored by Shikui Dong

Since Specialization
Citations

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

Fields of papers citing papers by Shikui Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikui Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Shikui Dong. A scholar is included among the top collaborators of Shikui Dong 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 Shikui Dong. Shikui Dong 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.
Dong, Shikui, et al.. (2025). Meta-relation-based heterogeneous graph neural network with deep reinforcement learning for flexible job shop scheduling. Expert Systems with Applications. 291. 128411–128411.
2.
Zhang, W., et al.. (2024). Shortwave infrared polarization characteristics simulation of solid rocket plume with self-emission and external incident radiation. Infrared Physics & Technology. 139. 105312–105312. 1 indexed citations
3.
Zhang, Yue, Peng Fei Gao, Chunlin Huang, et al.. (2024). An effective computational method and analysis of scattering characteristics for sea surface foam layer. Journal of Quantitative Spectroscopy and Radiative Transfer. 333. 109332–109332.
4.
Gao, Wenqiang, et al.. (2024). A numerical study on the influence of multiple nozzles on the infrared radiation signatures of liquid rocket exhaust plumes. Case Studies in Thermal Engineering. 61. 104835–104835. 5 indexed citations
5.
Niu, Qinglin, et al.. (2024). Research on flow and radiation similar characteristics of rocket exhaust plumes in continuous-flow regime. International Journal of Heat and Mass Transfer. 229. 125663–125663. 4 indexed citations
6.
Christensen, Jesper Heile, Shikui Dong, Camilla Geels, et al.. (2024). Impact of meteorology and aerosol sources on PM 2.5 and oxidative potential variability and levels in China. Atmospheric chemistry and physics. 24(18). 10849–10867. 3 indexed citations
7.
Chen, Qixiang, Chunlin Huang, Zhaohui Ruan, et al.. (2024). Accelerated surface brightening in China: The decisive role of reduced anthropogenic aerosol emissions. Atmospheric Environment. 340. 120893–120893. 1 indexed citations
8.
Dong, Shikui, et al.. (2024). Colored thermal camouflage and anti‐counterfeiting with programmable In 3 SbTe 2 platform. Nanophotonics. 13(6). 945–954. 29 indexed citations
9.
Christensen, Jesper Heile, Shikui Dong, Camilla Geels, et al.. (2024). Impact of anthropogenic emission control in reducing future PM2.5 concentrations and the related oxidative potential across different regions of China. The Science of The Total Environment. 918. 170638–170638. 5 indexed citations
10.
Niu, Qinglin, et al.. (2024). Spectral feature extraction of rocket exhaust plume using spectral proper orthogonal decomposition. Physics of Fluids. 36(3). 4 indexed citations
11.
Chen, Qixiang, Chunlin Huang, Shikui Dong, & Kaifeng Lin. (2024). Satellite-Based Background Aerosol Optical Depth Determination via Global Statistical Analysis of Multiple Lognormal Distribution. Remote Sensing. 16(7). 1210–1210. 1 indexed citations
12.
Niu, Qinglin, et al.. (2024). Research on the modeling technique of infrared radiation scaling law for rocket engine exhaust plumes. Journal of Quantitative Spectroscopy and Radiative Transfer. 328. 109146–109146.
13.
Gao, Peng, et al.. (2023). A low-time complexity semi-analytic Monte Carlo radiative transfer model: Application to optical characteristics of complex spatial targets. Journal of Computational Science. 68. 101983–101983. 3 indexed citations
14.
Yang, Wei, Songlin Wang, Fei Shen, et al.. (2023). Numerical simulation of heat transfer characteristics of supercritical liquid hydrogen through triangular U-tube in moderator. Cryogenics. 132. 103698–103698. 5 indexed citations
16.
Ruan, Zhaohui, et al.. (2023). Investigating the cumulative lag effects of environmental exposure under urban differences on COVID-19. Journal of Infection and Public Health. 17. 76–81. 3 indexed citations
18.
Cheng, Fangyan, et al.. (2018). Urban Land Extraction Using DMSP/OLS Nighttime Light Data and OpenStreetMap Datasets for Cities in China at Different Development Levels. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(8). 2587–2599. 14 indexed citations
19.
Ma, Yu, Shikui Dong, & He-Ping Tan. (2011). Lattice Boltzmann method for one-dimensional radiation transfer. Physical Review E. 84(1). 16704–16704. 43 indexed citations
20.
Ferrat, Marion, et al.. (2009). Geochemical tracing of dust in peat and dust samples for palaeoclimatic studies of the Asian monsoon. Geochimica et Cosmochimica Acta Supplement. 73.

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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