Zhenliang Yin

2.5k total citations
70 papers, 2.0k citations indexed

About

Zhenliang Yin is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Zhenliang Yin has authored 70 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Water Science and Technology, 36 papers in Global and Planetary Change and 27 papers in Environmental Engineering. Recurrent topics in Zhenliang Yin's work include Hydrology and Watershed Management Studies (34 papers), Hydrological Forecasting Using AI (19 papers) and Cryospheric studies and observations (18 papers). Zhenliang Yin is often cited by papers focused on Hydrology and Watershed Management Studies (34 papers), Hydrological Forecasting Using AI (19 papers) and Cryospheric studies and observations (18 papers). Zhenliang Yin collaborates with scholars based in China, Australia and Canada. Zhenliang Yin's co-authors include Linshan Yang, Qi Feng, Xiaohu Wen, Ravinesh C. Deo, Songbing Zou, Jianhua Si, Jan Adamowski, Meng Zhu, A. A. Masrur Ahmed and Nawin Raj and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Journal of Hydrology.

In The Last Decade

Zhenliang Yin

64 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenliang Yin China 29 1.1k 1.1k 754 497 167 70 2.0k
A. K. Gosain India 19 1.2k 1.1× 1.3k 1.2× 1.1k 1.4× 424 0.9× 153 0.9× 80 2.1k
Linshan Yang China 26 1.3k 1.2× 964 0.9× 766 1.0× 410 0.8× 326 2.0× 76 2.2k
Rasoul Mirabbasi Iran 27 1.6k 1.4× 831 0.8× 529 0.7× 332 0.7× 111 0.7× 81 2.1k
Weihong Liao China 22 743 0.7× 877 0.8× 431 0.6× 284 0.6× 212 1.3× 73 1.7k
Thanh Duc Dang Vietnam 26 896 0.8× 982 0.9× 588 0.8× 210 0.4× 427 2.6× 63 2.1k
Jongho Kim South Korea 23 1.1k 1.0× 1.2k 1.1× 680 0.9× 533 1.1× 292 1.7× 91 2.1k
Manika Gupta India 22 812 0.7× 542 0.5× 849 1.1× 391 0.8× 262 1.6× 46 1.6k
Zhijia Li China 28 1.7k 1.5× 1.6k 1.5× 949 1.3× 732 1.5× 163 1.0× 141 2.6k
P. Hosseinzadeh Talaee Iran 27 2.5k 2.2× 1.1k 1.0× 738 1.0× 521 1.0× 163 1.0× 40 3.1k
Deg‐Hyo Bae South Korea 24 1.6k 1.4× 1.2k 1.1× 695 0.9× 727 1.5× 101 0.6× 147 2.3k

Countries citing papers authored by Zhenliang Yin

Since Specialization
Citations

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

Fields of papers citing papers by Zhenliang Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenliang Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenliang Yin. A scholar is included among the top collaborators of Zhenliang Yin 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 Zhenliang Yin. Zhenliang Yin 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.
Yin, Zhenliang, et al.. (2025). Responses to future climate change in hydrological processes and hydrological drought in the upstream of Shiyang river basin, Northwest China. Journal of Hydrology Regional Studies. 58. 102310–102310.
2.
Liu, Wei, Feng Qi, Zhenliang Yin, et al.. (2025). Patterns and drivers of water-land resources nexus in arid inland river basins of northwestern China. Environmental and Sustainability Indicators. 26. 100702–100702.
3.
Yin, Zhenliang, et al.. (2025). Advances in the preparation, applications, challenges, and future trends of polysaccharide‐based gels as food‐grade delivery systems for probiotics: A review. Comprehensive Reviews in Food Science and Food Safety. 24(1). e70111–e70111. 8 indexed citations
4.
Yin, Zhenliang, Xiang‐Gui Guo, & Li‐Ying Hao. (2025). Dual-branch residual sparse network with serial-parallel structure for image denoising. Digital Signal Processing. 164. 105267–105267.
5.
Wei, Yuxi, Lijuan Chen, Zhenliang Yin, et al.. (2024). Differences in soil fungal communities under salinity gradients in arid and semiarid regions. Global and Planetary Change. 236. 104425–104425. 5 indexed citations
6.
Hao, Xiaohua, et al.. (2024). Generation and Assessment of Digital Elevation Models by Combining Sentinel-1A and Sentinel-1B Data in Mountain Glacier Area. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 642–654.
7.
Feng, Qi, et al.. (2024). Modelling and attributing growing season GPP change by improving Budyko's limitation framework in the inland river basin of Northwestern China. Agricultural and Forest Meteorology. 355. 110139–110139. 2 indexed citations
8.
Shi, Qi, Qi Feng, Heping Shu, et al.. (2022). Redistribution effect of irrigation on shallow groundwater recharge source contributions in an arid agricultural region. The Science of The Total Environment. 865. 161106–161106. 17 indexed citations
9.
Ahmed, A. A. Masrur, Ravinesh C. Deo, Afshin Ghahramani, et al.. (2022). New double decomposition deep learning methods for river water level forecasting. The Science of The Total Environment. 831. 154722–154722. 51 indexed citations
10.
11.
Lu, Zhixiang, et al.. (2020). The heterogeneity of hydrometeorological changes during the period of 1961-2016 in the source region of the Yellow River, China. Sciences in Cold and Arid Regions. 12(2). 104–118. 2 indexed citations
12.
Yang, Linshan, Qi Feng, Jan Adamowski, et al.. (2020). The role of climate change and vegetation greening on the variation of terrestrial evapotranspiration in northwest China's Qilian Mountains. The Science of The Total Environment. 759. 143532–143532. 90 indexed citations
13.
Yang, Linshan, Feng Qi, Jan Adamowski, et al.. (2020). Spatio-temporal variation of reference evapotranspiration in northwest China based on CORDEX-EA. Atmospheric Research. 238. 104868–104868. 32 indexed citations
14.
Yang, Linshan, Qi Feng, Jan Adamowski, et al.. (2020). Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China. The Science of The Total Environment. 713. 136587–136587. 29 indexed citations
15.
16.
Yang, Yonggang, Jinfei Hu, Honglang Xiao, Songbing Zou, & Zhenliang Yin. (2013). [Spatial and temporal variations of hydrological characteristic on the landscape zone scale in alpine cold region].. PubMed. 34(10). 3797–803. 4 indexed citations
17.
Yin, Zhenliang, Honglang Xiao, Songbing Zou, et al.. (2013). Simulation of hydrological processes of mountainous watersheds in inland river basins: taking the Heihe Mainstream River as an example. Journal of Arid Land. 6(1). 16–26. 29 indexed citations
18.
19.
Yang, Yonggang, Honglang Xiao, Yongping Wei, et al.. (2011). Hydrological processes in the different landscape zones of alpine cold regions in the wet season, combining isotopic and hydrochemical tracers. Hydrological Processes. 26(10). 1457–1466. 40 indexed citations
20.
Yin, Zhenliang & Thomas H. Williams. (1997). OBTAINING SPATIAL AND TEMPORAL VEGETATION DATA FROM LANDSAT MSS AND AVHRR/NOAA SATELLITE IMAGES FOR A HYDROLOGIC MODEL. Photogrammetric Engineering & Remote Sensing. 63(1). 69–77. 40 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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