Minglei Ren

698 total citations · 1 hit paper
17 papers, 497 citations indexed

About

Minglei Ren is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Minglei Ren has authored 17 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 9 papers in Water Science and Technology and 6 papers in Environmental Engineering. Recurrent topics in Minglei Ren's work include Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (7 papers) and Hydrological Forecasting Using AI (4 papers). Minglei Ren is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (7 papers) and Hydrological Forecasting Using AI (4 papers). Minglei Ren collaborates with scholars based in China, United Kingdom and United States. Minglei Ren's co-authors include Guangyuan Kan, Xiaoyan He, F. Wang, Gang Wang, Wei Shao, Haijun Yu, Dawei Zhang, Guangtao Fu, Qiuhua Liang and Wang Ben-de and has published in prestigious journals such as Journal of Hydrology, Plant and Soil and Agriculture Ecosystems & Environment.

In The Last Decade

Minglei Ren

17 papers receiving 480 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.

Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Series

2020 274 citations F. Wang, Wei Shao et al. Frontiers in Earth Science profile →

Peers

Minglei Ren

GPC

WST

EE

AS

ECOLO

Muhammad Saifullah Pakistan

Faisal Baig United Arab Emirates

S. Y. Liong Singapore

Murat Ay Türkiye

Naeem Saddique Pakistan

Lu Su United States

Zhengzheng Zhou China

Seree Supharatid Thailand

Vahid Rahmani United States

Tao-Chang Yang Taiwan

Muhammad Saifullah Pakistan

Minglei Ren

298 ×1.0

GPC

218 ×1.2

WST

101 ×0.7

EE

224 ×1.9

AS

46 ×1.0

ECOLO

Citations per year, relative to Minglei Ren Minglei Ren (= 1×) peers Muhammad Saifullah

Countries citing papers authored by Minglei Ren

Since Specialization

Citations

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

Fields of papers citing papers by Minglei Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minglei Ren

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

All Works

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17 of 17 papers shown

1.

Yang, Ning, Gang Wang, Minglei Ren, et al.. (2025). Assessing Flood Risks of Small Reservoirs in Huangshan, Anhui Province, China. Water. 17(12). 1786–1786. 1 indexed citations

2.

Ren, Minglei, et al.. (2024). The role of partner species in the crop cocultures: A meta- analysis. Agriculture Ecosystems & Environment. 367. 108992–108992. 2 indexed citations

3.

Li, Changwen, et al.. (2024). Study of Flooding Behavior and Discharge from Karot Dam in the Event of a Possible Breach by Using the Hydrodynamic Model. Water. 16(20). 2922–2922. 1 indexed citations

4.

Ren, Minglei, et al.. (2024). An Advanced Multi-Objective Ant Lion Algorithm for Reservoir Flood Control Optimal Operation. Water. 16(6). 852–852. 2 indexed citations

5.

Ren, Minglei, et al.. (2022). Research and Application of Reservoir Flood Control Optimal Operation Based on Improved Genetic Algorithm. Water. 14(8). 1272–1272. 17 indexed citations

6.

Ding, Wei, et al.. (2022). Deriving optimal operating rules for flood control considering pre-release based on forecast information. Journal of Hydrology. 615. 128665–128665. 15 indexed citations

7.

Li, Xia, Wei Xu, Minglei Ren, Yanan Jiang, & Guangtao Fu. (2022). Hybrid CNN-LSTM models for river flow prediction. Water Science & Technology Water Supply. 22(5). 4902–4919. 32 indexed citations

8.

Wang, F., Wei Shao, Haijun Yu, et al.. (2020). Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Series. Frontiers in Earth Science. 8. 274 indexed citations breakdown →

9.

He, Lei, Jing Xu, Liangliang Hu, et al.. (2019). Nurse effects mediated by acid-tolerance of target species and arbuscular mycorrhizal colonization in an acid soil. Plant and Soil. 441(1-2). 161–172. 9 indexed citations

10.

Wang, Gang, Denghua Yan, Tao Pan, et al.. (2019). Study on Technical Schemes for Major Pollutants Emission Reduction in Beijing North Canal River Basin Based on Watershed Water Quality Target Management. Journal of Water Resource and Protection. 11(11). 1327–1350. 1 indexed citations

11.

Yu, Zhenxing, Jing Xu, Shijun Liu, et al.. (2019). Adult plants facilitate their conspecific seedlings by enhancing arbuscular mycorrhizae in a saline soil. Plant and Soil. 447(1-2). 333–345. 7 indexed citations

12.

Kan, Guangyuan, Liuqian Ding, Jiren Li, et al.. (2017). Daily streamflow simulation based on the improved machine learning method. Tecnología y Ciencias del Agua. 8(2). 51–60. 5 indexed citations

13.

Kan, Guangyuan, Xiaoyan He, Liuqian Ding, et al.. (2017). Fast hydrological model calibration based on the heterogeneous parallel computing accelerated shuffled complex evolution method. Engineering Optimization. 50(1). 106–119. 21 indexed citations

14.

Wang, Gang, Denghua Yan, Xiaoyan He, et al.. (2017). Trends in extreme temperature indices in Huang-Huai-Hai River Basin of China during 1961–2014. Theoretical and Applied Climatology. 134(1-2). 51–65. 22 indexed citations

15.

Kan, Guangyuan, Jiren Li, Xingnan Zhang, et al.. (2016). A new hybrid data-driven model for event-based rainfall–runoff simulation. Neural Computing and Applications. 28(9). 2519–2534. 41 indexed citations

16.

Yu, Chaoqing, Jim W. Hall, E.P. Evans, et al.. (2011). A GIS-supported impact assessment of the hierarchical flood-defense systems on the plain areas of the Taihu Basin, China. International Journal of Geographical Information Systems. 26(4). 643–665. 12 indexed citations

17.

Ren, Minglei, Wang Ben-de, Qiuhua Liang, & Guangtao Fu. (2010). Classified real-time flood forecasting by coupling fuzzy clustering and neural network. International Journal of Sediment Research. 25(2). 134–148. 35 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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