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R

Rizwan Niaz

Yunnan Normal University

15H指数
65论文数
563被引数
收录论文 29
发表时间
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Monitoring Land Use Land Cover Changes in Mirzapur, Northern India Using Machine Learning and Cloud-Computing Based Geospatial Approach利用基于机器学习和云计算的地理空间方法监测印度北部米尔扎普尔土地利用/土地覆盖变化
errLand
IF3.2
err2026-08-31
err0
errOAAI
errChandrakesh Maury; Km Shiwani; Alka Singh; Siddhartha Kumar; Vishwambhar Nath Sharma; Aleksandar Valjarević; Kundan Kishor; Rizwan Niaz; Mansour Almazroui; Mohamed Elhag
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Machine learning integration for robust real-time drought monitoring and early warning systems机器学习集成用于鲁棒实时干旱监测和早期预警系统
errGeomatics Natural Hazards & Risk
IF4.6
err2026-08-27
err0
errOAAI
errRizwan Niaz; Muhammad Ilyas; Luca Di Persio; Ali Danandeh Mehr; Naim Ahmad; Hefa Cheng; Ahmed Said Badawy
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Integrating Long Short-Term Memory and Gaussian Process Regression for Enhanced Meteorological Drought Forecasting将长短期记忆网络与高斯过程回归相结合以增强气象干旱预测
errWater Resources Management
IF4.7
err2026-08-18
err0
PREAI
errMuhammad Ilyas; Rizwan Niaz; Luca Di Persio; Mohammed Alshahrani; Abdulkhaleq Q. A. Hassan; Mohammed M. A. Almazah
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Assessing drought dynamics across climatic zones using parametric and entropy copula models利用参数和熵Copula模型评估不同气候带的干旱动态
errStochastic Environmental Research and Risk Assessment
IF3.6
err2026-07-28
err0
PREAI
errMuhammad Owais Khan; Luca Di Persio; Rizwan Niaz; Hefa Cheng; Laila A. Al-Essa; Hanen Louati; Mhassen. E. E. Dalam
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Exploring nonlinear drought dynamics through stress, resilience, and tipping transitions using a non-autonomous dynamical systems framework with CMIP6 projections通过包含CMIP6预测的非自治动力系统框架，从压力、恢复力和临界转变角度探索非线性干旱动态
errStochastic Environmental Research and Risk Assessment
IF3.6
err2026-07-28
err0
PREAI
errHabib Ullah; Rizwan Niaz; Ijaz Hussain; Mohammed M. A. Almazah; Laila A. AL-Essa; Mhassen. E. E. Dalam
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Integrating climatic and topographic drivers in a poisson-GEE framework for modelling drought dynamics在泊松-GEE框架中整合气候和地形驱动因素以模拟干旱动态
errTheoretical and Applied Climatology
IF2.7
err2026-05-04
err0
PREAI
errRizwan Farooq; Maysaa Elmahi Abd Elwahab; Rizwan Niaz; Hefa Cheng; Mhassen. E. E. Dalam; Mohammed M. A. Almazah; Ijaz Hussain
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Integrating climate model ensembles for reliable regional drought assessment through redundancy control通过冗余控制整合气候模型集合以进行可靠的区域干旱评估
errQuarterly Journal of the Royal Meteorological Society
IF2.9
err2026-05-01
err0
PREAI
errAbbas, Hussnain; Ali, Zulfiqar; Dhahbi, Sami; Adnan, Humara; Niaz, Rizwan; Dhahbi, Afef
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Monitoring drought occurrence through a count-based statistical modeling通过计数统计模型监测干旱发生
errPhysics and Chemistry of the Earth, Parts A/B/C
IF4.1
err2026-04-08
err0
PREAI
errRizwan Farooq; Maysaa Elmahi Abd Elwahab; Rizwan Niaz; Hefa Cheng; Mhassen E.E. Dalam; Mohammed M.A. Almazah; Ijaz Hussain
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A novel spatially coherent graph-cut-optimized multi-model ensemble framework with ML weighting for advanced drought assessment under climate change一种基于机器学习加权的新型空间相干图割优化多模型集成框架，用于气候变化下的高级干旱评估
errJournal of Water and Climate Change
IF3.1
err2026-04-01
err0
PREAI
errAbbas, Hussnain; Shakeel, Muhammad; Ali, Zulfiqar; Scholz, Miklas; Abd Elwahab, Maysaa Elmahi; Niaz, Rizwan
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Optimizing GCM ensemble selection and weighted MME development for improved drought projection under global climate models simulations优化全球气候模型模拟下的GCM集合选择和加权MME发展，以提高干旱预测。
errNatural Hazards
IF3.7
err2026-03-26
err0
PREAI
errMuhammad Shakeel; Zulfiqar Ali; Hussnain Abbas; Muhammad Mohsin; Mrim M. Alnfiai; Naim Ahmad; Rizwan Niaz
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Data-Driven Prediction of Fertility Outcomes Through Machine Learning Models基于机器学习模型的数据驱动生育结果预测
errEarth Systems and Environment
IF4.7
err2026-03-03
err0
PREAI
errAlamgir; Abdur Rehman; Ubaidullah; Rizwan Niaz; Qasim Shah; Riaz Ali; Arfan Arshad; Mansour Almazroui
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A Novel Sequential Weighting and Standardisation Framework for Robust Drought Assessment Using CMIP6 Projections基于CMIP6投影的鲁棒干旱评估的新颖顺序加权与标准化框架
errInternational Journal of Climatology
IF2.8
err2026-02-01
err0
PREAI
errAbbas, Hussnain; Shakeel, Muhammad; Mohsin, Muhammad; Ali, Zulfiqar; Nazeer, Amna; Niaz, Rizwan; Ahmad, Naim
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Bayesian geostatistical insights into seasonal variability and spatiotemporal structure of precipitation
errActa Geophysica
IF2.1
err2026-01-04
err2
PREAI
errDin, Fazal; Almazah, Mohammed M. A.; Niaz, Rizwan; Cheng, Hefa; Al Samman, Fathia Moh.; Hilali, Shreefa O.
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Utilising machine learning classification models for meteorological drought monitoring and analysis
errAll Earth
IF2.6
err2025-12-31
err4
PREAI
errMumtaz, Iqra; Niaz, Rizwan; Sajid, Zamama; Alameri, Abdu Qaid; Ali, Zulfiqar; A. Gepreel, Khaled
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Assessing Seasonal Drought Persistence using a Bayesian Logistic Regression Approach利用贝叶斯逻辑回归方法评估季节性干旱持续性
errPhysics and Chemistry of the Earth, Parts A/B/C
IF4.1
err2025-12-17
err0
PREAI
errRizwan Niaz; Muhammad Ahmad Raza; Zulfiqar Ali; Abdelkader T. Ahmed; Mir Jafar Sadegh Safari; Ali Danandeh Mehr
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Integrating time-space dynamics for meteorological drought monitoring and trend analysis集成时空动态用于气象干旱监测和趋势分析
errActa Geophysica
IF2.1
err2025-12-10
err1
PREAI
errShah, Zahid; Niaz, Rizwan; Almazah, Mohammed M. A.; Cheng, Hefa; Al Samman, Fathia Moh.; Hilali, Shreefa O.
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BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities to Identify Critical Ground Truth Meteorological Stations for Drought MonitoringBAMPP：一种通过平均边缘后验概率增强的贝叶斯网络，用于识别干旱监测中的关键真实气象站
errPhysics and Chemistry of the Earth, Parts A/B/C
IF4.1
err2025-11-27
err0
PREAI
errRizwan Niaz; Saman Munir; Muhammad Ahmad Raza; Rifat Tur; Sadegh Partani; Ali Danandeh Mehr
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Modeling meteorological drought across scales with regional and global climate indicators跨尺度模拟气象干旱与区域及全球气候指标
errTheoretical and Applied Climatology
IF2.7
err2025-11-12
err0
PREAI
errMuhammad Ilyas; Rizwan Niaz; Hefa Cheng; Luca Di Persio; Maysaa Elmahi Abd Elwahab; Ali Danandeh Mehr; Ijaz Hussain
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A Bayesian Framework for Spatiotemporal Analysis of Meteorological Drought Dynamics气象干旱动态时空分析的贝叶斯框架
errPure and Applied Geophysics
IF1.9
err2025-11-01
err1
PREAI
errFarooq, Rizwan; Niaz, Rizwan; Hussain, Ijaz; Almazah, Mohammed M. A.; Hilali, Shreefa O.; Cheng, Hefa
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A Spatiotemporal Approach for Drought Monitoring Using Empirical Orthogonal Function (EOF) Analysis and Neural Networks一种基于经验正交函数（EOF）分析和神经网络的时空干旱监测方法
errEarth Systems and Environment
IF4.7
err2025-08-23
err0
PREAI
errMuhammad Ilyas; Rizwan Niaz; Luca Di Persio; A. Y. Al-Rezami; Mohammed M. A. Almazah; Aqil Tariq
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研究方向

暂无研究方向
合作学者
合作期刊
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Hefa Cheng
H 指数: 76 · 论文数: 356
A
Aqil Tariq
H 指数: 56 · 论文数: 275
A
Ali Danandeh Mehr
H 指数: 38 · 论文数: 152
K
Khaled A. Gepreel
H 指数: 31 · 论文数: 190
Z
Zulfiqar Ali
H 指数: 30 · 论文数: 238
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