Da Liu

4.4k total citations · 1 hit paper
179 papers, 3.2k citations indexed

About

Da Liu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Da Liu has authored 179 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 29 papers in Artificial Intelligence and 17 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Da Liu's work include Energy Load and Power Forecasting (21 papers), Perovskite Materials and Applications (11 papers) and Grey System Theory Applications (11 papers). Da Liu is often cited by papers focused on Energy Load and Power Forecasting (21 papers), Perovskite Materials and Applications (11 papers) and Grey System Theory Applications (11 papers). Da Liu collaborates with scholars based in China, Pakistan and United States. Da Liu's co-authors include Dongxiao Niu, Hui Wang, Kun Sun, Renbing Wu, Peifang Guo, Muhammad Irfan, Hongge Pan, Guowei Zhang, Naila Nureen and Bilal Ahmad and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Da Liu

161 papers receiving 3.1k citations

Hit Papers

Short-term wind speed forecasting using wavelet transform... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Liu China 31 1.5k 587 427 355 299 179 3.2k
Hui Hwang Goh China 40 1.7k 1.2× 459 0.8× 215 0.5× 334 0.9× 190 0.6× 255 5.3k
Muhammad Shahzad Nazir China 36 2.2k 1.5× 745 1.3× 898 2.1× 162 0.5× 323 1.1× 116 3.8k
T.R. Ayodele Nigeria 35 1.9k 1.3× 622 1.1× 437 1.0× 153 0.4× 540 1.8× 131 4.3k
Dongdong Zhang China 31 2.2k 1.5× 662 1.1× 364 0.9× 205 0.6× 114 0.4× 126 4.2k
Kuaanan Techato Thailand 44 1.8k 1.2× 978 1.7× 515 1.2× 604 1.7× 287 1.0× 222 6.6k
Tanveer Ahmad China 29 2.4k 1.7× 881 1.5× 618 1.4× 190 0.5× 88 0.3× 37 4.4k
Francisco G. Montoya Spain 27 1.6k 1.1× 609 1.0× 330 0.8× 93 0.3× 191 0.6× 110 3.8k
Zhenyu Zhao China 37 1.6k 1.1× 529 0.9× 232 0.5× 119 0.3× 305 1.0× 228 4.3k
Zhao Liu China 24 1.8k 1.2× 380 0.6× 293 0.7× 491 1.4× 101 0.3× 164 3.4k
K.H. Solangi Malaysia 19 927 0.6× 922 1.6× 248 0.6× 225 0.6× 328 1.1× 30 3.0k

Countries citing papers authored by Da Liu

Since Specialization
Citations

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

Fields of papers citing papers by Da Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Da Liu. A scholar is included among the top collaborators of Da Liu 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 Da Liu. Da Liu 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.
Tan, Xin, et al.. (2025). Critical risks in an industry chain-based global lithium supply networks: Static structure and dynamic propagation. Process Safety and Environmental Protection. 198. 107137–107137. 1 indexed citations
2.
Zhou, Jin, Peifang Guo, Yufei He, et al.. (2025). Electroactive Chelating Groups Enable High‐Performance Aqueous Zinc‐Organic Batteries. Angewandte Chemie International Edition. 64(52). e13842–e13842.
4.
Wang, Yueying, Li Wang, Xinyao Liu, et al.. (2024). Targeting ClpP: Unlocking a novel therapeutic approach of isochlorogenic acid A for methicillin-resistant Staphylococcus aureus-infected osteomyelitis. Microbiological Research. 292. 128042–128042. 2 indexed citations
5.
Liu, Da, et al.. (2024). A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting. Energy. 308. 132895–132895. 22 indexed citations
6.
Zheng, Wei, Chao Wang, & Da Liu. (2024). Combustion process modeling based on deep sparse least squares support vector regression. Engineering Applications of Artificial Intelligence. 132. 107869–107869. 2 indexed citations
7.
Ding, Shijie, et al.. (2024). Preparation and property analysis of cellulose reinforced carbon nanocomposite hydrogels. New Journal of Chemistry. 48(27). 12138–12145. 1 indexed citations
8.
Wang, Li, Jinlong Zhang, Quan Liu, et al.. (2024). Thwarting resistance: MgrA inhibition with methylophiopogonanone a unveils a new battlefront against S. aureus. npj Biofilms and Microbiomes. 10(1). 15–15. 10 indexed citations
9.
Yan, Xiaoxiao, Da Liu, Kang Xiang, et al.. (2023). Amorphous quaternary alloy nanoplates for efficient catalysis of hydrogen evolution reaction. Journal of Alloys and Compounds. 972. 172730–172730. 4 indexed citations
10.
Zhao, Xiaohua, et al.. (2023). Study on the protective performance of polymer layer to RC slabs under underwater explosions. Ocean Engineering. 282. 114997–114997. 12 indexed citations
11.
Guo, Peifang, Da Liu, & Renbing Wu. (2023). Recent Progress in Design Strategy of Anode for Seawater Electrolysis. SHILAP Revista de lepidopterología. 4(12). 51 indexed citations
12.
Liu, Da, Kehan Li, Liang Zhou, et al.. (2023). N, O co-doping enhanced the ability of carbon/Fe composites for peroxymonosulfate activation to degrade sulfadiazine: The advantages of nitrate saturated MOFs as precursors. Separation and Purification Technology. 314. 123556–123556. 45 indexed citations
14.
Liu, Da, et al.. (2023). Can green certificates substitute for renewable electricity subsidies? A Chinese experience. Renewable Energy. 222. 119861–119861. 23 indexed citations
15.
Zhang, Yong, et al.. (2023). Multi-label learning based on instance correlation and feature redundancy. Pattern Recognition Letters. 176. 123–130. 5 indexed citations
16.
Zhang, Guowei, et al.. (2023). Short-term wind speed forecasting based on adaptive secondary decomposition and robust temporal convolutional network. Energy. 288. 129618–129618. 27 indexed citations
17.
Nureen, Naila, Da Liu, Bilal Ahmad, & Muhammad Irfan. (2023). Relating green information acquisition, absorptive capacity, institutional pressure, and firm performance: an environmentally sustainable perspective. Environmental Science and Pollution Research. 30(16). 46779–46794. 21 indexed citations
18.
Zhao, Fajun, et al.. (2023). Experimental Study on Enhanced Oil Recovery Effect of Profile Control System-Assisted Steam Flooding. Polymers. 15(23). 4524–4524. 2 indexed citations
19.
Niu, Dongxiao, Zhengsen Ji, Wanying Li, Xiaomin Xu, & Da Liu. (2021). Research and application of a hybrid model for mid-term power demand forecasting based on secondary decomposition and interval optimization. Energy. 234. 121145–121145. 44 indexed citations
20.
Gao, Ran, et al.. (2021). A Tiny In-Line Coupler Tip With the Half Tapered Dual-Core Photonic Crystal Fibre. IEEE Sensors Journal. 21(23). 26814–26820.

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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