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Minerals 文献清单:2025年高引文章精选 |
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期刊名:Minerals
期刊主页:https://www.mdpi.com/journal/minerals
本期为您精选Minerals期刊2025年发表的20篇高引文章,欢迎阅读!
1.
Harnessing Mixed Fatty Acid Synergy for Selective Flotation of Apatite from Calcite and Quartz with Sodium Alginate
利用混合脂肪酸协同效应在海藻酸钠体系中选择性浮选磷灰石分离方解石和石英
https://www.mdpi.com/2075-163X/15/8/822
Aarab, I.; El Amari, K.; Yaacoubi, A.; Baçaoui, A.; Etahiri, A. Harnessing Mixed Fatty Acid Synergy for Selective Flotation of Apatite from Calcite and Quartz with Sodium Alginate. Minerals 2025, 15, 822.
2.
Reprocessing of Sulphide Flotation Tailings for Copper Recovery: Characterisation
硫化物浮选尾矿再处理回收铜:表征研究
https://www.mdpi.com/2075-163X/15/6/649
Dadzie, R.A.; Zanin, M.; Skinner, W.; Addai-Mensah, J.; Asamoah, R.; Abaka-Wood, G.B. Reprocessing of Sulphide Flotation Tailings for Copper Recovery: Characterisation. Minerals 2025, 15, 649.
3.
Efficient Removal of Impurities from Refractory Oolitic Magnetite Concentrate via High-Pressure Alkaline Leaching and Ultrasonic Acid Leaching Process
高压碱性浸出与超声波酸性浸出联合工艺高效脱除难处理鲕状磁铁矿精矿中的杂质
https://www.mdpi.com/2075-163X/15/3/220
Hu, M.; Zhu, D.; Pan, J.; Guo, Z.; Yang, C.; Li, S.; Cao, W. Efficient Removal of Impurities from Refractory Oolitic Magnetite Concentrate via High-Pressure Alkaline Leaching and Ultrasonic Acid Leaching Process. Minerals 2025, 15, 220.
4.
Metal Recovery from Discarded Lithium-Ion Batteries by Bioleaching Coupled with Minimal Mechanical Pre-Treatment
废弃锂离子电池中有价金属的生物浸出回收及最低程度机械预处理联合工艺
https://www.mdpi.com/2075-163X/15/6/566
Garcia, L.; Morell, J.; Lao, C.; Solé-Sardans, M.; Dorado, A.D. Metal Recovery from Discarded Lithium-Ion Batteries by Bioleaching Coupled with Minimal Mechanical Pre-Treatment. Minerals 2025, 15, 566.
5.
Modeling Shapes of Coarse Particles for DEM Simulations Using Polyhedral Meta-Particles
基于多面体元颗粒的粗颗粒形状建模及其在DEM模拟中的应用
https://www.mdpi.com/2075-163X/15/2/103
Costa, F.d.A.; Barrios, G.K.P.; Fidalgo, A.P.; Tino, A.A.A.; Tavares, L.M. Modeling Shapes of Coarse Particles for DEM Simulations Using Polyhedral Meta-Particles. Minerals 2025, 15, 103.
6.
Leaching Behavior of Waste Barrier Material with Sulfuric Acid
废屏障材料的硫酸浸出行为研究
https://www.mdpi.com/2075-163X/15/3/323
Li, S.; Zhao, Y.; Cheng, J.; Chen, Y.; Liu, W.; Sun, W. Leaching Behavior of Waste Barrier Material with Sulfuric Acid. Minerals 2025, 15, 323.
7.
Separation of Rare Earth Elements by Ion Exchange Resin: pH Effect and the Use of Fractionation Column
离子交换树脂法分离稀土元素:pH值影响及分段柱的应用
https://www.mdpi.com/2075-163X/15/8/821
Souza, C.; Ferreira, P.A.P.V.S.; Ladeira, A.C.Q. Separation of Rare Earth Elements by Ion Exchange Resin: pH Effect and the Use of Fractionation Column. Minerals 2025, 15, 821.
8.
Mechanical Strength, Mineralogical Characteristics and Leaching Behavior of Iron Ore Tailings Stabilized with Alkali-Activated Rice Husk Ash and Eggshell Lime Binder
碱激发稻壳灰与蛋壳石灰粘结剂稳定化处理铁尾矿的力学强度、矿物学特征及浸出行为研究
https://www.mdpi.com/2075-163X/15/6/567
Kubiaki Levandoski, W.M.; Mota, J.D.; Menegolla, C.; Tonatto Ferrazzo, S.; Bruschi, G.J.; Pavan Korf, E. Mechanical Strength, Mineralogical Characteristics and Leaching Behavior of Iron Ore Tailings Stabilized with Alkali-Activated Rice Husk Ash and Eggshell Lime Binder. Minerals 2025, 15, 567.
9.
Technosol Micromorphology Reveals the Early Pedogenesis of Abandoned Rare Earth Element Mining Sites Undergoing Reclamation in South China
人工土微形态学揭示华南废弃稀土矿复垦区的早期土壤发生过程
https://www.mdpi.com/2075-163X/15/5/514
Watteau, F.; Morel, J.L.; Liu, C.; Tang, Y.; Huot, H. Technosol Micromorphology Reveals the Early Pedogenesis of Abandoned Rare Earth Element Mining Sites Undergoing Reclamation in South China. Minerals 2025, 15, 514.
10.
Synergistic ZnO–CuO/Halloysite Nanocomposite for Photocatalytic Degradation of Ciprofloxacin with High Stability and Reusability
ZnO–CuO/埃洛石纳米复合材料协同光催化降解环丙沙星及其高稳定性与可重复使用性研究
https://www.mdpi.com/2075-163X/15/9/977
Albuquerque, W.A.; Filho, A.J.N.; Romaguera-Barcelay, Y.; Medina-Carrasco, S.; Orta, M.d.M.; Trigueiro, P.; Peña-Garcia, R.R. Synergistic ZnO–CuO/Halloysite Nanocomposite for Photocatalytic Degradation of Ciprofloxacin with High Stability and Reusability. Minerals 2025, 15, 977.
11.
Heavy Metal Adsorption and Desorption Behavior of Raw Sepiolite: A Study on Cd(II), Cu(II), and Ni(II) Ions
天然海泡石对Cd(II)、Cu(II)和Ni(II)离子的重金属吸附与解吸行为研究
https://www.mdpi.com/2075-163X/15/11/1110
Bourliva, A. Heavy Metal Adsorption and Desorption Behavior of Raw Sepiolite: A Study on Cd(II), Cu(II), and Ni(II) Ions. Minerals 2025, 15, 1110.
12.
The Role of Fluid Chemistry in the Diagenetic Transformation of Detrital Clay Minerals: Experimental Insights from Modern Estuarine Sediments
流体化学在碎屑粘土矿物成岩转化中的作用:来自现代河口沉积物的实验认识
https://www.mdpi.com/2075-163X/15/3/317
Salisu, A.M.; Bello, A.M.; Amao, A.O.; Al-Ramadan, K. The Role of Fluid Chemistry in the Diagenetic Transformation of Detrital Clay Minerals: Experimental Insights from Modern Estuarine Sediments. Minerals 2025, 15, 317.
13.
Characterization and Suitability for Ceramics Production of Clays from Bustos, Portugal
葡萄牙布斯托斯粘土的特性及其陶瓷生产适宜性研究
https://www.mdpi.com/2075-163X/15/5/503
Candeias, C.; Santos, I.; Rocha, F. Characterization and Suitability for Ceramics Production of Clays from Bustos, Portugal. Minerals 2025, 15, 503.
14.
Unsupervised Anomaly Detection for Mineral Prospectivity Mapping Using Isolation Forest and Extended Isolation Forest Algorithms
基于孤立森林和扩展孤立森林算法的无监督异常检测在矿产远景预测中的应用
https://www.mdpi.com/2075-163X/15/4/411
Saremi, M.; Hezarkhani, A.; Mirzabozorg, S.A.A.S.; DehghanNiri, R.; Shirazy, A.; Shirazi, A. Unsupervised Anomaly Detection for Mineral Prospectivity Mapping Using Isolation Forest and Extended Isolation Forest Algorithms. Minerals 2025, 15, 411.
15.
A 3D Geological Modeling Method Using the Transformer Model: A Solution for Sparse Borehole Data
基于Transformer模型的三维地质建模方法:稀疏钻孔数据问题的解决方案
https://www.mdpi.com/2075-163X/15/3/301
Hang, Z.; Xue, T.; Chen, J.; Shi, Y.; Yin, Z.; Cui, Z.; Zhou, G. A 3D Geological Modeling Method Using the Transformer Model: A Solution for Sparse Borehole Data. Minerals 2025, 15, 301.
16.
Mineral Prospectivity Mapping in Xiahe-Hezuo Area Based on Wasserstein Generative Adversarial Network with Gradient Penalty
基于带梯度惩罚的Wasserstein生成对抗网络的夏河—合作地区矿产远景预测
https://www.mdpi.com/2075-163X/15/2/184
Gong, J.; Li, Y.; Xie, M.; Kong, Y.; Tang, R.; Li, C.; Wu, Y.; Wu, Z. Mineral Prospectivity Mapping in Xiahe-Hezuo Area Based on Wasserstein Generative Adversarial Network with Gradient Penalty. Minerals 2025, 15, 184.
17.
Genetic Model of the Luhai Sandstone-Type Uranium Deposit in the Erlian Basin, Inner Mongolia
内蒙古二连盆地陆海砂岩型铀矿床的成因模型
https://www.mdpi.com/2075-163X/15/3/294
Tang, C.; Xu, Z.; Duan, M.; Meng, L.; Liu, H.; Wei, J.; Zhang, C.; Zhao, L. Genetic Model of the Luhai Sandstone-Type Uranium Deposit in the Erlian Basin, Inner Mongolia. Minerals 2025, 15, 294.
18.
Late Neoproterozoic Rare-Metal Pegmatites with Mixed NYF-LCT Features: A Case Study from the Egyptian Nubian Shield
晚新元古代具有NYF-LCT混合特征的稀有金属伟晶岩——以埃及努比亚地盾为例
https://www.mdpi.com/2075-163X/15/5/495
Elsagheer, M.A.; Azer, M.K.; Moussa, H.E.; Maurice, A.E.; Sami, M.; El Maaty, M.A.A.; Akarish, A.I.M.; Heikal, M.T.S.; Khedr, M.Z.; Elnazer, A.A.; et al. Late Neoproterozoic Rare-Metal Pegmatites with Mixed NYF-LCT Features: A Case Study from the Egyptian Nubian Shield. Minerals 2025, 15, 495.
19.
Influence of Mineralogical and Petrographic Properties on the Mechanical Behavior of Granitic and Mafic Rocks
矿物学与岩石学特征对花岗质和镁铁质岩石力学行为的影响
https://www.mdpi.com/2075-163X/15/7/747
Waqar, M.F.; Guo, S.; Qi, S.; Karim, M.A.M.; Zada, K.; Ahmed, I.; Shang, Y. Influence of Mineralogical and Petrographic Properties on the Mechanical Behavior of Granitic and Mafic Rocks. Minerals 2025, 15, 747.
20.
The Segmentation of Tunnel Faces in Underground Mines Based on the Optimized YOLOv5
地下矿山隧道开挖面分割技术——基于YOLOv5的优化算法
https://www.mdpi.com/2075-163X/15/3/255
Ma, C.; Li, K.; Pan, J.; Zheng, J.; Zhang, Q.; Qi, C. The Segmentation of Tunnel Faces in Underground Mines Based on the Optimized YOLOv5. Minerals 2025, 15, 255.
期刊介绍
主编:Leonid Dubrovinsky, University Bayreuth, Germany
期刊研究范围涵盖矿物学、矿物地球化学和年代学、经济矿物资源、矿物勘探、创新的采矿技术以及矿物加工等广泛领域。期刊现已被SCIE、Scopus等数据库收录。
2025 Impact Factor: 2.7
2025 CiteScore: 4.9
Time to First Decision: 17.7 days
Acceptance to Publication: 2.6 days
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