Ye Tuo

2.4k total citations · 1 hit paper
79 papers, 1.8k citations indexed

About

Ye Tuo is a scholar working on Mechanical Engineering, Global and Planetary Change and Materials Chemistry. According to data from OpenAlex, Ye Tuo has authored 79 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanical Engineering, 21 papers in Global and Planetary Change and 20 papers in Materials Chemistry. Recurrent topics in Ye Tuo's work include Aluminum Alloy Microstructure Properties (14 papers), Hydrology and Watershed Management Studies (14 papers) and Microstructure and mechanical properties (13 papers). Ye Tuo is often cited by papers focused on Aluminum Alloy Microstructure Properties (14 papers), Hydrology and Watershed Management Studies (14 papers) and Microstructure and mechanical properties (13 papers). Ye Tuo collaborates with scholars based in China, Germany and Sweden. Ye Tuo's co-authors include Markus Disse, Gabriele Chiogna, Zheng Duan, Junzhi Liu, Giorgia Marcolini, Luoxing Li, Yuanzhi Wu, Pengcheng Guo, Ying Zhu and Guanglong Liu and has published in prestigious journals such as The Science of The Total Environment, The Journal of Physical Chemistry B and Journal of Cleaner Production.

In The Last Decade

Ye Tuo

73 papers receiving 1.7k citations

Hit Papers

Evaluation of eight high spatial resolution gridded preci... 2016 2026 2019 2022 2016 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
Ye Tuo China 20 800 711 610 272 246 79 1.8k
Haibin Li China 20 789 1.0× 329 0.5× 388 0.6× 260 1.0× 196 0.8× 51 1.6k
Xun Sun China 23 536 0.7× 294 0.4× 316 0.5× 132 0.5× 344 1.4× 77 1.7k
Hui Zheng China 18 508 0.6× 286 0.4× 290 0.5× 130 0.5× 130 0.5× 61 1.1k
Jingwei Wu China 28 283 0.4× 403 0.6× 448 0.7× 672 2.5× 230 0.9× 145 2.4k
Chuan Liang China 24 663 0.8× 1.1k 1.5× 185 0.3× 306 1.1× 466 1.9× 109 2.5k
Shi Qiu China 23 869 1.1× 867 1.2× 617 1.0× 878 3.2× 267 1.1× 53 2.9k
Jaswinder Singh India 13 396 0.5× 568 0.8× 94 0.2× 311 1.1× 779 3.2× 18 1.7k
Lili Li China 26 303 0.4× 325 0.5× 291 0.5× 53 0.2× 135 0.5× 108 1.8k
Jonathan Pearson United Kingdom 24 179 0.2× 205 0.3× 333 0.5× 205 0.8× 333 1.4× 78 2.0k
Chunlei Zhao China 24 253 0.3× 179 0.3× 170 0.3× 297 1.1× 325 1.3× 62 1.4k

Countries citing papers authored by Ye Tuo

Since Specialization
Citations

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

Fields of papers citing papers by Ye Tuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Tuo

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Tuo. A scholar is included among the top collaborators of Ye Tuo 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 Ye Tuo. Ye Tuo 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.
Mohammadi, Babak, et al.. (2025). Integrating machine learning with process-based glacio-hydrological model for improving the performance of runoff simulation in cold regions. Journal of Hydrology. 656. 132963–132963. 6 indexed citations
2.
Guo, Pengcheng, et al.. (2024). Unveiling mechanical response and deformation mechanism of extruded WE43 magnesium alloy under high-speed impact. Journal of Rare Earths. 42(12). 2303–2315. 5 indexed citations
3.
Liu, Limei, Ye Tuo, Like Zhang, et al.. (2024). Effects of Aging Treatments on the Age Hardening Behavior and Microstructures in an Al-Mg-Si-Cu Alloy. Metals. 14(2). 238–238. 9 indexed citations
4.
Tuo, Ye, et al.. (2024). Social media sentiment of hydrogen fuel cell vehicles in China: Evidence from artificial intelligence algorithms. Energy Economics. 133. 107564–107564. 15 indexed citations
5.
Tang, Jian, et al.. (2024). Effect of Deep Cryogenic Treatment on the Artificial Aging Behavior of 6082 Aluminum Alloy. Coatings. 14(6). 755–755. 1 indexed citations
6.
Tuo, Ye, et al.. (2024). Mechanical Properties and Microstructural Evolution of 6082 Aluminum Alloy with Different Heat Treatment Methods. Coatings. 14(5). 602–602. 7 indexed citations
7.
Tuo, Ye, et al.. (2024). The Hot Tensile Properties, Fracture Features, and Microstructure Evolution of As-Cast 7005 Aluminum Alloy. Metals. 14(1). 125–125. 3 indexed citations
8.
Anwar, Faizan, et al.. (2024). The significance of the leaf area index for evapotranspiration estimation in SWAT-T for characteristic land cover types of West Africa. Hydrology and earth system sciences. 28(24). 5511–5539.
9.
Sun, Huaiwei, Jing Wang, Jie Xue, et al.. (2024). Evaluating the potential benefits of float solar photovoltaics through the water footprint recovery period. Journal of Cleaner Production. 446. 141399–141399. 7 indexed citations
10.
Tuo, Ye, et al.. (2024). Deformation Behavior of an Extruded 7075 Aluminum Alloy at Elevated Temperatures. Materials. 17(5). 1210–1210. 5 indexed citations
11.
Sun, Huaiwei, Hao Jiang, Lei Cao, et al.. (2023). Coupling Bayesian Network and copula theory for water shortage assessment: A case study in source area of the South-to-North Water Division Project (SNWDP). Journal of Hydrology. 620. 129434–129434. 15 indexed citations
12.
Fan, Touwen, Yuanzhi Wu, Wei Liu, et al.. (2023). First-principles study of the mixing effects of rare earth solute atoms on the physical properties of Al2RE phases in Al-based alloys at finite temperatures. Physica Scripta. 98(10). 105906–105906. 1 indexed citations
13.
Tuo, Ye, et al.. (2023). Mechanical Property and Microstructure of Rolled 7075 Alloy under Hot Compression with Different Original Grains. Metals. 13(8). 1456–1456. 2 indexed citations
14.
Duan, Zheng, et al.. (2023). Global Water Quality of Inland Waters with Harmonized Landsat-8 and Sentinel-2 Using Cloud-Computed Machine Learning. Remote Sensing. 15(5). 1390–1390. 28 indexed citations
15.
Tuo, Ye, et al.. (2023). Deformation Behavior and Processing Maps of 7075 Aluminum Alloy under Large-Strain Thermal Compression. Materials. 16(23). 7432–7432. 3 indexed citations
16.
Liu, Limei, Ye Tuo, Jie Liu, et al.. (2023). Tensile Behavior and Microstructure Evolution of an Extruded 6082 Aluminum Alloy Sheet at High Temperatures. Metals. 14(1). 7–7. 5 indexed citations
17.
Peng, Jian, et al.. (2022). Development and application of high resolution SPEI drought dataset for Central Asia. Scientific Data. 9(1). 172–172. 38 indexed citations
18.
Disse, Markus, et al.. (2021). The Temporal Propagation Processes of Multiple Types of Drought in Central Asia. 1 indexed citations
19.
Duan, Zheng, et al.. (2021). Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning Machine. Sensors. 21(12). 4118–4118. 48 indexed citations
20.
Tuo, Ye, Giorgia Marcolini, Markus Disse, & Gabriele Chiogna. (2018). A multi-objective approach to improve SWAT model calibration in alpine catchments. Journal of Hydrology. 559. 347–360. 72 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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