Lin Ding

673 total citations · 1 hit paper
26 papers, 496 citations indexed

About

Lin Ding is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Economics and Econometrics. According to data from OpenAlex, Lin Ding has authored 26 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Electrical and Electronic Engineering and 5 papers in Economics and Econometrics. Recurrent topics in Lin Ding's work include Energy Load and Power Forecasting (10 papers), Neural Networks and Reservoir Computing (4 papers) and Neural Networks and Applications (4 papers). Lin Ding is often cited by papers focused on Energy Load and Power Forecasting (10 papers), Neural Networks and Reservoir Computing (4 papers) and Neural Networks and Applications (4 papers). Lin Ding collaborates with scholars based in China and United States. Lin Ding's co-authors include Yulong Bai, Yongjie Ma, Qinghe Yu, Yulong Bai, Yihu Song, Huilong Xu, Wanjie Wang, Xiao Zhu, Yazhen Gong and Lin Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Energy.

In The Last Decade

Lin Ding

22 papers receiving 483 citations

Hit Papers

Application of hybrid model based on empirical mode decom... 2021 2026 2022 2024 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction
    2021 270 citations Lin Ding, Yulong Bai et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Ding China 8 318 147 91 72 61 26 496
Guangbiao Liu China 8 382 1.2× 96 0.7× 103 1.1× 57 0.8× 24 0.4× 11 510
Gholamreza Memarzadeh Iran 9 500 1.6× 158 1.1× 97 1.1× 49 0.7× 56 0.9× 15 568
Jingyi Han China 5 282 0.9× 108 0.7× 33 0.4× 68 0.9× 85 1.4× 12 385
M. Ghayekhloo United States 10 485 1.5× 244 1.7× 118 1.3× 35 0.5× 35 0.6× 15 584
Ali Lahouar Tunisia 7 639 2.0× 206 1.4× 121 1.3× 73 1.0× 91 1.5× 9 757
Jin Hur South Korea 16 496 1.6× 166 1.1× 43 0.5× 54 0.8× 75 1.2× 47 644
Shahram Hanifi United Kingdom 4 343 1.1× 177 1.2× 38 0.4× 49 0.7× 90 1.5× 6 445

Countries citing papers authored by Lin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Ding. A scholar is included among the top collaborators of Lin 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 Lin Ding. Lin 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.
Ding, Lin, et al.. (2025). Predicting nonlinear dynamic systems by causal physics-informed neural networks with ResNet blocks. Neurocomputing. 656. 131589–131589.
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Ding, Lin, et al.. (2025). Chaotic climate system forecasting using an improved echo state network with sparse observations. Science China Earth Sciences. 68(7). 2346–2360.
4.
Chen, Zhi-ru, et al.. (2024). Intra-hour photovoltaic power point-interval prediction using a dual-view deep neural network. Expert Systems with Applications. 260. 125368–125368. 6 indexed citations
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Chen, Yi-Sheng, et al.. (2024). Multi-Scale Geometric Feature Extraction and Global Transformer for Real-World Indoor Point Cloud Analysis. Mathematics. 12(23). 3827–3827. 1 indexed citations
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Liu, Te, Wei Chen, Tong Li, et al.. (2024). Serum Galectin-9 mirrors immune-evasive microenvironment and predicts early recurrence in hepatocellular carcinoma. Gene. 942. 149184–149184. 1 indexed citations
9.
Chen, Yi-Sheng, et al.. (2024). GSSnowflake: Point Cloud Completion by Snowflake with Grouped Vector and Self-Positioning Point Attention. Remote Sensing. 16(17). 3127–3127. 1 indexed citations
10.
Bai, Yulong, et al.. (2024). Constructing polynomial libraries for reservoir computing in nonlinear dynamical system forecasting. Physical review. E. 109(2). 24227–24227. 5 indexed citations
11.
Ding, Lin, et al.. (2024). Using a snow ablation optimizer in an autonomous echo state network for the model-free prediction of chaotic systems. Nonlinear Dynamics. 112(13). 11483–11500. 6 indexed citations
12.
Zhang, Xusheng, Hong‐Cai Zhou, Long Chen, et al.. (2023). Combined TIM-3 and PD-1 blockade restrains hepatocellular carcinoma development by facilitating CD4+ and CD8+ T cell-mediated antitumor immune responses. World Journal of Gastrointestinal Oncology. 15(12). 2138–2149. 9 indexed citations
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Zhu, Xiao, et al.. (2022). A new national environmental law with harsh penalties and regulated discretion: Experiences and lessons from China. Resources Conservation and Recycling. 181. 106245–106245. 6 indexed citations
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Ding, Lin, et al.. (2022). Serial-parallel dynamic echo state network: A hybrid dynamic model based on a chaotic coyote optimization algorithm for wind speed prediction. Expert Systems with Applications. 212. 118789–118789. 26 indexed citations
17.
Ding, Lin, et al.. (2021). Predicting short wind speed with a hybrid model based on a piecewise error correction method and Elman neural network. Energy. 244. 122630–122630. 44 indexed citations
18.
Xu, Huilong, Lin Ding, Yihu Song, & Wanjie Wang. (2020). Rheology of end-linking polydimethylsiloxane networks filled with silica. Journal of Rheology. 64(6). 1425–1438. 17 indexed citations
19.
Ding, Lin, et al.. (2019). Clustering Analysis and Visualization of Terrorist Attack Data. 136–136. 3 indexed citations
20.
Ding, Lin. (2007). Evaluation on Efficiency of Petrochemical Industry Based on AHP & DEA. Zhongguo Shiyou Daxue xuebao. Ziran kexue ban. 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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