Yanlai Zhou

4.4k total citations · 1 hit paper
102 papers, 3.4k citations indexed

About

Yanlai Zhou is a scholar working on Water Science and Technology, Global and Planetary Change and Ocean Engineering. According to data from OpenAlex, Yanlai Zhou has authored 102 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Water Science and Technology, 52 papers in Global and Planetary Change and 39 papers in Ocean Engineering. Recurrent topics in Yanlai Zhou's work include Flood Risk Assessment and Management (43 papers), Water resources management and optimization (38 papers) and Hydrology and Watershed Management Studies (37 papers). Yanlai Zhou is often cited by papers focused on Flood Risk Assessment and Management (43 papers), Water resources management and optimization (38 papers) and Hydrology and Watershed Management Studies (37 papers). Yanlai Zhou collaborates with scholars based in China, Norway and Taiwan. Yanlai Zhou's co-authors include Shenglian Guo, Fi‐John Chang, Li‐Chiu Chang, I-Feng Kao, Chong‐Yu Xu, Pan Liu, Lei Cheng, Bo Ming, Pan Liu and Hua Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Yanlai Zhou

97 papers receiving 3.3k citations

Hit Papers

align trajectories

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.

Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting

2020 297 citations Yanlai Zhou, Li‐Chiu Chang et al. Journal of Hydrology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanlai Zhou China	32	1.8k	1.3k	1.2k	1.0k	656	102	3.4k
Li‐Chiu Chang Taiwan	40	1.9k 1.1×	2.4k 1.8×	1.6k 1.3×	997 1.0×	525 0.8×	90	4.6k
Roohollah Noori Iran	41	2.2k 1.2×	2.0k 1.5×	874 0.7×	372 0.4×	214 0.3×	103	4.7k
Xiaohui Lei China	37	2.4k 1.4×	1.1k 0.9×	1.3k 1.1×	1.2k 1.2×	654 1.0×	207	4.6k
Mohsen Sherif United Arab Emirates	35	1.2k 0.7×	2.1k 1.6×	727 0.6×	531 0.5×	259 0.4×	166	3.8k
Yurui Fan China	37	1.7k 1.0×	650 0.5×	1.1k 0.9×	1.1k 1.1×	376 0.6×	136	3.2k
Chow Ming Fai Malaysia	33	1.4k 0.8×	1.9k 1.4×	797 0.6×	229 0.2×	266 0.4×	127	3.3k
Wenyan Wu Australia	28	1.0k 0.6×	913 0.7×	1.1k 0.9×	442 0.4×	204 0.3×	105	2.5k
Mohammad Ehteram Iran	34	1.7k 0.9×	1.7k 1.3×	803 0.6×	665 0.7×	514 0.8×	111	3.5k
Manish Kumar Goyal India	39	1.4k 0.8×	1.2k 0.9×	2.4k 2.0×	263 0.3×	199 0.3×	144	4.3k
Haitham Abdulmohsin Afan Malaysia	32	1.9k 1.1×	2.1k 1.6×	869 0.7×	357 0.3×	416 0.6×	71	3.5k

Countries citing papers authored by Yanlai Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Yanlai Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanlai Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yanlai Zhou. A scholar is included among the top collaborators of Yanlai Zhou 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 Yanlai Zhou. Yanlai Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tang, Yan, et al.. (2025). Revolutionizing solar-hydro-wind power forecasts in regional power systems with hybrid machine learning models. Solar Energy. 291. 113391–113391. 6 indexed citations

Zhou, Yanlai, et al.. (2025). Unlocking hydropower synergies: Multi-objective optimization drawdown operation of cascade reservoirs. Renewable Energy. 247. 123097–123097. 2 indexed citations

Zhou, Yanlai, et al.. (2025). Elevating predictive reliability: time-varying parameter bayesian deep learning techniques for flood probability forecasting. Journal of Hydrology. 664. 134597–134597.

Luo, Qi, et al.. (2025). Reducing Carbon Emissions: A Multi-Objective Approach to the Hydropower Operation of Mega Reservoirs. Sustainability. 17(6). 2770–2770. 1 indexed citations

Zhou, Yanlai, et al.. (2024). Compromising power generation and flood control: Optimizing flood operating water levels in mega reservoirs. Sustainable Energy Technologies and Assessments. 70. 103963–103963. 3 indexed citations

Zhou, Yanlai, et al.. (2024). Sustainable energy integration: Enhancing the complementary operation of pumped-storage power and hydropower systems. Renewable and Sustainable Energy Reviews. 210. 115175–115175. 11 indexed citations

Zhou, Yanlai, et al.. (2024). Methane degassing in global river reservoirs and its impacts on carbon budgets and sustainable water management. The Science of The Total Environment. 957. 177623–177623. 1 indexed citations

Zhou, Yanlai, et al.. (2024). Optimizing complementary operation of mega cascade reservoirs for boosting hydropower sustainability. Sustainable Energy Technologies and Assessments. 64. 103719–103719. 9 indexed citations

Zhou, Yanlai, et al.. (2024). Exploring a spatiotemporal hetero graph-based long short-term memory model for multi-step-ahead flood forecasting. Journal of Hydrology. 633. 130937–130937. 13 indexed citations

10.

Zhou, Yanlai, et al.. (2024). Enhancing physically-based flood forecasts through fusion of long short-term memory neural network with unscented Kalman filter. Journal of Hydrology. 641. 131819–131819. 5 indexed citations

11.

Xia, Jun, et al.. (2024). Unlocking synergies of drawdown operation: Multi-objective optimization of reservoir emergency storage capacity. Journal of Environmental Management. 368. 122148–122148. 6 indexed citations

12.

Guo, Shenglian, Yanlai Zhou, Hua Chen, et al.. (2024). Boosting hydropower generation of mixed reservoirs for reducing carbon emissions by using a simulation–optimization framework. Hydrology research. 55(2). 144–160. 5 indexed citations

13.

Cui, Zhen, Shenglian Guo, Yanlai Zhou, & Jun Wang. (2023). Exploration of dual-attention mechanism-based deep learning for multi-step-ahead flood probabilistic forecasting. Journal of Hydrology. 622. 129688–129688. 23 indexed citations

14.

Zhou, Yanlai, et al.. (2023). Exploring a novel reservoir drawdown operation framework for boosting synergies of hydropower generation and drought defense. Sustainable Energy Technologies and Assessments. 60. 103562–103562. 9 indexed citations

15.

Zhou, Yanlai, et al.. (2023). Optimizing pumped-storage power station operation for boosting power grid absorbability to renewable energy. Energy Conversion and Management. 299. 117827–117827. 33 indexed citations

16.

Zhou, Yanlai, et al.. (2023). Exploring a Novel Reservoir Impoundment Operation Framework for Facilitating Hydropower Sustainability. Sustainability. 15(18). 13400–13400. 4 indexed citations

17.

Chen, Hua, et al.. (2023). Exploring a similarity search-based data-driven framework for multi-step-ahead flood forecasting. The Science of The Total Environment. 891. 164494–164494. 12 indexed citations

18.

Sheng, Sheng, Yanlai Zhou, Hua Chen, et al.. (2023). Exploring a multi-output temporal convolutional network driven encoder-decoder framework for ammonia nitrogen forecasting. Journal of Environmental Management. 342. 118232–118232. 8 indexed citations

19.

Sun, Qian, Min Li, Hongbo Xu, et al.. (2019). Distribution of metastasis in the brain in relation to the hippocampus: a retrospective single-center analysis of 565 metastases in 116 patients. Cancer Imaging. 19(1). 2–2. 12 indexed citations

20.

Zhou, Yanlai, Li‐Chiu Chang, & Fi‐John Chang. (2019). Explore a Multivariate Bayesian Uncertainty Processor driven by artificial neural networks for probabilistic PM2.5 forecasting. The Science of The Total Environment. 711. 134792–134792. 28 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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