Yu Ding

713 total citations
37 papers, 521 citations indexed

About

Yu Ding is a scholar working on Computational Mechanics, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yu Ding has authored 37 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 10 papers in Atmospheric Science and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yu Ding's work include Lattice Boltzmann Simulation Studies (11 papers), Air Quality and Health Impacts (9 papers) and Atmospheric chemistry and aerosols (8 papers). Yu Ding is often cited by papers focused on Lattice Boltzmann Simulation Studies (11 papers), Air Quality and Health Impacts (9 papers) and Atmospheric chemistry and aerosols (8 papers). Yu Ding collaborates with scholars based in China, United States and Norway. Yu Ding's co-authors include Haifei Liu, Wei Yang, Xiaoqin Wang, Zuoqi Chen, Wenfang Lu, Xin Chen, Zhihao Xu, Hongda Wang, Zhifeng Yang and Tao Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Yu Ding

34 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Ding China 13 126 101 85 81 76 37 521
Catherine Raptis Switzerland 9 129 1.0× 165 1.6× 63 0.7× 76 0.9× 40 0.5× 11 512
Qianlin Zhu China 16 204 1.6× 53 0.5× 37 0.4× 46 0.6× 83 1.1× 30 560
Xiaoying Fu China 16 55 0.4× 180 1.8× 32 0.4× 64 0.8× 71 0.9× 34 814
Rebwar Nasir Dara Iraq 19 77 0.6× 193 1.9× 249 2.9× 46 0.6× 249 3.3× 60 902
Jinwook Lee South Korea 12 203 1.6× 155 1.5× 74 0.9× 86 1.1× 29 0.4× 51 593
Ahmad Sana Oman 16 181 1.4× 118 1.2× 35 0.4× 16 0.2× 24 0.3× 67 620
Guodong Liu China 15 137 1.1× 94 0.9× 122 1.4× 30 0.4× 25 0.3× 37 608
Yanjun Cheng China 14 69 0.5× 158 1.6× 17 0.2× 114 1.4× 48 0.6× 37 649
Olivier Hoes Netherlands 9 155 1.2× 159 1.6× 155 1.8× 14 0.2× 27 0.4× 17 595

Countries citing papers authored by Yu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Ding. A scholar is included among the top collaborators of Yu Ding 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 Yu Ding. Yu Ding 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, Jiaxin, et al.. (2025). Long-Term (2015–2024) Daily PM2.5 Estimation in China by Using XGBoost Combining Empirical Orthogonal Function Decomposition. SHILAP Revista de lepidopterología. 17(9). 1632–1632.
3.
Ding, Yu, Zhuo Dong, Hong Xu, Zhe Ma, & Gangjun Zhai. (2025). Influence of the Void Structure on Thermal Performance in HGM/ER Composites. Energies. 18(8). 2073–2073.
4.
Yang, Jie, et al.. (2024). A new hybrid deep neural network for multiple sites PM2.5 forecasting. Journal of Cleaner Production. 473. 143542–143542. 5 indexed citations
5.
Li, Siwei, Yu Ding, Jia Xing, & Joshua S. Fu. (2024). Retrieving ground-level PM 2.5 concentrations in China (2013–2021) with a numerical-model-informed testbed to mitigate sample-imbalance-induced biases. Earth system science data. 16(8). 3781–3793. 7 indexed citations
6.
Li, Siwei, Jie Yang, Shuo Wang, et al.. (2023). Long-term PM2.5 concentration prediction based on improved empirical mode decomposition and deep neural network combined with noise reduction auto-encoder- A case study in Beijing. Journal of Cleaner Production. 428. 139449–139449. 10 indexed citations
7.
You, Tingting, Shaofeng Wang, Yimei Xi, et al.. (2023). Photo-enhanced oxidation of arsenite by biochar: The effect of pH, kinetics and mechanisms. Journal of Hazardous Materials. 461. 132652–132652. 10 indexed citations
8.
Ding, Yu, et al.. (2023). Estimation of Daily Seamless PM2.5 Concentrations with Climate Feature in Hubei Province, China. Remote Sensing. 15(15). 3822–3822. 4 indexed citations
9.
Li, Siwei, Jia Xing, Chunying Fan, et al.. (2023). 72-hour real-time forecasting of ambient PM2.5 by hybrid graph deep neural network with aggregated neighborhood spatiotemporal information. Environment International. 176. 107971–107971. 27 indexed citations
10.
Xu, Kai, Yafei Liu, Chenlu Li, et al.. (2022). Enhanced secondary organic aerosol formation during dust episodes by photochemical reactions in the winter in Wuhan. Journal of Environmental Sciences. 133. 70–82. 12 indexed citations
11.
Ding, Yu, et al.. (2022). The migration of viscous fish eggs in artificial reefs. Ecological Modelling. 469. 109985–109985. 5 indexed citations
12.
Liu, Haifei, et al.. (2021). A lattice Boltzmann model for shallow water equations on the smoothed quadtree grid. International Journal for Numerical Methods in Fluids. 94(4). 295–315. 1 indexed citations
13.
Ma, Xu, Jiaxi Zhang, Mario A. Goméz, et al.. (2021). Partitioning and transformation behavior of arsenic during Fe(III)-As(III)-As(V)-SO42− coprecipitation and subsequent aging process in acidic solutions: Implication for arsenic mobility and fixation. The Science of The Total Environment. 799. 149474–149474. 12 indexed citations
14.
Liu, Haifei, et al.. (2021). Meta-analysis of the response of marine phytoplankton to nutrient addition and seawater warming. Marine Environmental Research. 168. 105294–105294. 13 indexed citations
15.
Jiang, S. S., Liliang Ren, Menghao Wang, et al.. (2021). Development of a comprehensive framework for quantifying the impacts of climate change and human activities on river hydrological health variation. Journal of Hydrology. 600. 126566–126566. 44 indexed citations
16.
Liu, Haifei, et al.. (2021). A well-balanced lattice Boltzmann model for the depth-averaged advection–diffusion equation with variable water depth. Computer Methods in Applied Mechanics and Engineering. 379. 113745–113745. 12 indexed citations
17.
Ding, Yu, et al.. (2019). The assessment of ecological water replenishment scheme based on the two-dimensional lattice-Boltzmann water age theory. Journal of Hydro-environment Research. 25. 25–34. 12 indexed citations
18.
Xu, Zhihao, Xinan Yin, Tao Sun, et al.. (2017). Labyrinths in large reservoirs: An invisible barrier to fish migration and the solution through reservoir operation. Water Resources Research. 53(1). 817–831. 55 indexed citations
19.
Liu, Haifei & Yu Ding. (2014). Lattice Boltzmann Method for the Advection and Diffusion Equation in Shallow Water. The Journal of Macrodynamic Analysis (Memorial University of Newfoundland). 1(1). 1 indexed citations
20.
Chen, Xin, et al.. (2005). Shading effects on the winter thermal performance of the Trombe wall air gap: An experimental study in Dalian. Renewable Energy. 31(12). 1961–1971. 47 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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