Weide Li

1.9k total citations
66 papers, 1.5k citations indexed

About

Weide Li is a scholar working on Environmental Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Weide Li has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Engineering, 10 papers in Electrical and Electronic Engineering and 9 papers in Molecular Biology. Recurrent topics in Weide Li's work include Hydrological Forecasting Using AI (10 papers), Hydrology and Watershed Management Studies (8 papers) and Energy Load and Power Forecasting (8 papers). Weide Li is often cited by papers focused on Hydrological Forecasting Using AI (10 papers), Hydrology and Watershed Management Studies (8 papers) and Energy Load and Power Forecasting (8 papers). Weide Li collaborates with scholars based in China, Australia and Taiwan. Weide Li's co-authors include Xuan Yang, Ailing Yang, Xi Gao, Lan Qin, Qing Sun, Chun‐Hua Hang, Shijia Li, Jinran Wu, Zizhen Li and Jianhong Zhu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Weide Li

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weide Li China 22 332 265 214 154 135 66 1.5k
Mingchao Li China 32 116 0.3× 121 0.5× 278 1.3× 375 2.4× 36 0.3× 230 3.4k
Yang Xiao China 35 87 0.3× 268 1.0× 746 3.5× 266 1.7× 618 4.6× 175 4.3k
He Jiang China 31 674 2.0× 511 1.9× 493 2.3× 431 2.8× 29 0.2× 166 2.7k
Deepak Gupta India 27 243 0.7× 197 0.7× 951 4.4× 81 0.5× 140 1.0× 103 2.0k
Jin Liu China 31 196 0.6× 42 0.2× 187 0.9× 1.1k 7.0× 153 1.1× 168 2.9k
J. Taboada Spain 25 73 0.2× 282 1.1× 308 1.4× 25 0.2× 29 0.2× 112 1.8k
Chiou‐Jye Huang Taiwan 22 893 2.7× 492 1.9× 430 2.0× 171 1.1× 11 0.1× 69 2.2k
Ahmed M. Elshewey Egypt 21 135 0.4× 170 0.6× 308 1.4× 60 0.4× 62 0.5× 56 976
Mahmoud Y. Shams Egypt 26 124 0.4× 164 0.6× 529 2.5× 78 0.5× 179 1.3× 70 1.7k
Guomin Huang China 22 126 0.4× 357 1.3× 228 1.1× 299 1.9× 475 3.5× 64 1.9k

Countries citing papers authored by Weide Li

Since Specialization
Citations

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

Fields of papers citing papers by Weide Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weide Li

This figure shows the co-authorship network connecting the top 25 collaborators of Weide Li. A scholar is included among the top collaborators of Weide Li 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 Weide Li. Weide Li 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.
Liu, Xinru, Weide Li, & Da Zhou. (2025). DGI-GRU: Integrating dynamic graph convolution for enhanced spatio-temporal information extraction. Neurocomputing. 649. 130757–130757.
3.
Liu, Siyuan, Yuan Jin, Weide Li, et al.. (2024). Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation. Earth Science Informatics. 17(6). 5135–5148. 3 indexed citations
4.
Yang, Linshan, et al.. (2024). A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China. Hydrology research. 55(2). 180–204. 15 indexed citations
5.
Li, Weide, et al.. (2024). Daily runoff prediction based on lightweight Mamba with partial normalization. Hydrology research. 55(12). 1182–1196.
6.
Huang, Chunlin, et al.. (2024). A coupled model integrating dual attention mechanism into BiGRU-RED for multi-step-ahead streamflow forecasting. Journal of Hydrology. 645. 132137–132137. 7 indexed citations
7.
Li, Weide, et al.. (2023). A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction. Remote Sensing. 15(4). 900–900. 17 indexed citations
8.
He, Hao, et al.. (2023). Time Series Clustering and Influencing Factors Analysis on Qinghai-Tibet Plateau Lake Area Change. Environmental Modeling & Assessment. 29(3). 503–516. 2 indexed citations
9.
10.
Zhu, Gaofeng, Xufeng Wang, Jingfeng Xiao, et al.. (2022). Daytime and nighttime warming has no opposite effects on vegetation phenology and productivity in the northern hemisphere. The Science of The Total Environment. 822. 153386–153386. 21 indexed citations
11.
Li, Weide, et al.. (2020). Using lattice SIS epidemiological model with clustered treatment to investigate epidemic control. Biosystems. 191-192. 104119–104119. 3 indexed citations
12.
Li, Weide, et al.. (2019). How nonrandom habitat loss affects nature reserve planning strategies. Ecological Modelling. 397. 39–46. 3 indexed citations
13.
Li, Weide, et al.. (2019). Relationship between Helicobacter pylori infection and obesity in Chinese adults: A systematic review with meta-analysis. PLoS ONE. 14(9). e0221076–e0221076. 46 indexed citations
14.
Li, Weide, Songyuan Luo, Jianfang Luo, et al.. (2017). Predictors Associated With Increased Prevalence of Abdominal Aortic Aneurysm in Chinese Patients with Atherosclerotic Risk Factors. European Journal of Vascular and Endovascular Surgery. 54(1). 43–49. 17 indexed citations
15.
Li, Song, Jianhong Zhu, Liping Cao, et al.. (2014). Growth inhibitory in vitro effects of glycyrrhizic acid in U251 glioblastoma cell line. Neurological Sciences. 35(7). 1115–1120. 47 indexed citations
16.
Sun, Qing, Wei Wu, Yang-Chun Hu, et al.. (2014). Early release of high-mobility group box 1 (HMGB1) from neurons in experimental subarachnoid hemorrhage in vivo and in vitro. Journal of Neuroinflammation. 11(1). 106–106. 123 indexed citations
17.
Huang, Yuli, Guohui Fan, Jian‐Qiang Zhong, et al.. (2013). Hyperhomocysteinemia is an independent risk factor in young patients with coronary artery disease in southern China. Herz. 38(7). 779–784. 28 indexed citations
18.
Li, Weide, Qing Sun, Xiangsheng Zhang, et al.. (2013). Expression and Cell Distribution of Neuroglobin in the Brain Tissue After Experimental Subarachnoid Hemorrhage in Rats: A Pilot Study. Cellular and Molecular Neurobiology. 34(2). 247–255. 14 indexed citations
19.
Li, Weide, et al.. (2012). Using Cellular Automata to study the effect of competition for epidemic diseases. Procedia Environmental Sciences. 13. 1010–1018. 6 indexed citations
20.
Li, Zizhen, et al.. (2003). Dry-period irrigation and fertilizer application affect water use and yield of spring wheat in semi-arid regions. Agricultural Water Management. 65(2). 133–143. 53 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mingchao Li Breakdown of academic impact, for papers by Yang Xiao Breakdown of academic impact, for papers by He Jiang Breakdown of academic impact, for papers by Deepak Gupta Breakdown of academic impact, for papers by Jin Liu Breakdown of academic impact, for papers by J. Taboada Breakdown of academic impact, for papers by Chiou‐Jye Huang Breakdown of academic impact, for papers by Ahmed M. Elshewey Breakdown of academic impact, for papers by Mahmoud Y. Shams Breakdown of academic impact, for papers by Guomin Huang
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