Ming Ye

11.2k total citations · 2 hit papers
379 papers, 8.2k citations indexed

About

Ming Ye is a scholar working on Environmental Engineering, Civil and Structural Engineering and Water Science and Technology. According to data from OpenAlex, Ming Ye has authored 379 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Environmental Engineering, 73 papers in Civil and Structural Engineering and 62 papers in Water Science and Technology. Recurrent topics in Ming Ye's work include Groundwater flow and contamination studies (98 papers), Soil and Unsaturated Flow (60 papers) and Hydrology and Watershed Management Studies (56 papers). Ming Ye is often cited by papers focused on Groundwater flow and contamination studies (98 papers), Soil and Unsaturated Flow (60 papers) and Hydrology and Watershed Management Studies (56 papers). Ming Ye collaborates with scholars based in China, United States and Canada. Ming Ye's co-authors include Shlomo P. Neuman, Jinzhong Yang, Yan Zhu, Philip D. Meyer, Dan Lu, Xiaoping Zhang, Jianfeng Zhang, Fan Zhang, Ambikaipakan Senthilselvan and Jeremy Beach and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and ACS Nano.

In The Last Decade

Ming Ye

349 papers receiving 8.0k citations

Hit Papers

Developing a Long Short-Term Memory (LSTM) based model fo... 2015 2026 2018 2022 2018 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Ye China 47 3.6k 2.2k 1.4k 1.4k 1.0k 379 8.2k
Jichun Wu China 53 3.2k 0.9× 2.2k 1.0× 836 0.6× 1.1k 0.8× 1.4k 1.4× 407 9.4k
Chen‐Wuing Liu Taiwan 44 2.5k 0.7× 2.4k 1.1× 726 0.5× 677 0.5× 495 0.5× 190 7.6k
Wolfgang Kinzelbach Switzerland 55 4.3k 1.2× 1.6k 0.7× 1.2k 0.8× 1.1k 0.8× 1.8k 1.8× 221 8.1k
Luca Ridolfi Italy 61 3.9k 1.1× 4.5k 2.0× 1.5k 1.0× 5.2k 3.8× 873 0.9× 318 14.5k
Christine A. Shoemaker United States 41 1.8k 0.5× 1.7k 0.8× 797 0.6× 952 0.7× 1.4k 1.4× 177 6.5k
Ling Li China 66 4.7k 1.3× 3.2k 1.4× 1.7k 1.2× 1.2k 0.9× 1.2k 1.2× 639 18.2k
Fan Zhang China 48 1.2k 0.3× 1.6k 0.7× 986 0.7× 1.7k 1.2× 309 0.3× 461 9.7k
Ali Najah Ahmed Malaysia 51 4.6k 1.3× 3.2k 1.4× 1.0k 0.7× 2.3k 1.7× 830 0.8× 326 9.1k
H. Flühler Switzerland 44 3.6k 1.0× 1.2k 0.6× 3.1k 2.2× 558 0.4× 829 0.8× 156 7.0k
Pierre Goovaerts United States 46 7.9k 2.2× 2.0k 0.9× 1.3k 0.9× 2.8k 2.1× 924 0.9× 165 15.7k

Countries citing papers authored by Ming Ye

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ye. A scholar is included among the top collaborators of Ming Ye 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 Ming Ye. Ming Ye 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.
Su, Haitao, Yuntao Liu, Jing Yang, et al.. (2025). Unraveling spatiotemporal variability of water geochemistry and sulfate sources in a multi-tributary river system. Journal of Hydrology. 662. 134073–134073.
2.
Ye, Ming, et al.. (2025). Development and validation of a risk prediction model for acute kidney injury in coronary artery disease. BMC Cardiovascular Disorders. 25(1). 12–12. 2 indexed citations
3.
Zhu, Yan, et al.. (2025). Effects of autumn irrigation timing and amounts on soil water and salt component migration in seasonally frozen soils. Agricultural Water Management. 317. 109639–109639. 1 indexed citations
4.
Yang, Jing, Yujiao Liu, Heng Dai, et al.. (2024). Development of an integrated global sensitivity analysis strategy for evaluating process sensitivities across single- and multi-models. Journal of Hydrology. 643. 132014–132014. 4 indexed citations
5.
Ye, Ming, et al.. (2024). Measures of stimulant medications: A population-based study in Alberta, Canada. SHILAP Revista de lepidopterología. 4. 100159–100159.
6.
Liu, Yannan, Yan Zhu, He Li, et al.. (2024). Spatial mapping and driving factor Identification for salt-affected soils at continental scale using Machine learning methods. Journal of Hydrology. 639. 131589–131589. 10 indexed citations
8.
Fang, Hua, et al.. (2024). Machine learning unveils the impact of anthropogenic emission changes on urban PM2.5 and O3: A case study in Wuhu. Journal of Environmental Sciences. 158. 395–404.
9.
Ye, Ming, et al.. (2024). Persistence and extinction of a reaction–diffusion vegetation-water system with time–space white noise. Chaos Solitons & Fractals. 185. 115112–115112. 1 indexed citations
10.
Lin, Min, Weihua Zhou, Yizhang Wang, et al.. (2024). HDAC5 deacetylates c-Myc and facilitates cell cycle progression in hepatocellular carcinoma cells. Cellular Signalling. 124. 111386–111386. 3 indexed citations
11.
Pei, Huafu, et al.. (2024). Stability analysis of reservoir slope under water-level drawdown considering stratigraphic uncertainty and spatial variability of soil property. Computers and Geotechnics. 169. 106199–106199. 9 indexed citations
13.
Ahmadisharaf, Ebrahim, et al.. (2024). Dynamic disparities in inorganic nitrogen and phosphorus fluxes into estuarine systems under different flow regimes and streamflow droughts. Water Research. 264. 122238–122238. 2 indexed citations
14.
Ye, Ming, et al.. (2024). Non-linear Association of CAR with all-Cause and Cardiovascular Mortality in Coronary Heart Disease: A Retrospective Cohort Study from NHANES. Clinical and Applied Thrombosis/Hemostasis. 30. 3005452886–3005452886. 1 indexed citations
15.
Wang, Mengqin, et al.. (2023). Chemical characteristics and reactive transport of soil salt ions in frozen soil during the freeze and thaw period. Journal of Hydrology. 621. 129580–129580. 17 indexed citations
16.
Cui, Jieyuan, Yunda Chua, Song Han, et al.. (2023). Single‐Mode Electrically Pumped Terahertz Laser in an Ultracompact Cavity via Merging Bound States in the Continuum (Laser Photonics Rev. 17(11)/2023). Laser & Photonics Review. 17(11). 2 indexed citations
17.
Zhang, Ling, Wenchao Jiang, Ming Ye, et al.. (2023). Liver fibrosis MR images classification based on higher-order interaction and sample distribution rebalancing. Health Information Science and Systems. 11(1). 51–51. 2 indexed citations
18.
Ye, Ming, et al.. (2023). Defining opioid naïve and implications for monitoring opioid use: A population‐based study in Alberta, Canada. Pharmacoepidemiology and Drug Safety. 33(1). e5693–e5693. 4 indexed citations
19.
Ye, Ming, et al.. (2022). Research on Lane Changing Game and Behavioral Decision Making Based on Driving Styles and Micro-Interaction Behaviors. Sensors. 22(18). 6729–6729. 10 indexed citations
20.
Ye, Ming, et al.. (2022). Time-Series-Based Personalized Lane-Changing Decision-Making Model. Sensors. 22(17). 6659–6659. 6 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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