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Ali, R., Kuriqi, A., Abubaker, S. and Kisi, O., 2019. Long-term trends and seasonality detection of the observed flow in Yangtze River using Mann-Kendall and Sen’s innovative trend method. Water, 11(9), p.1855.
Ali, R., Kuriqi, A., Abubaker, S. and Kisi, O., 2019. Hydrologic alteration at the upper and middle part of the Yangtze river, China: towards sustainable water resource management under increasing water exploitation. Sustainability, 11(19), p.5176.
Kuriqi, A., Ali, R., Pham, Q.B., Montenegro Gambini, J., Gupta, V., Malik, A., Linh, N.T.T., Joshi, Y., Anh, D.T., Nam, V.T. and Dong, X., 2020. Seasonality shift and streamflow flow variability trends in central India. Acta Geophysica, 68, pp.1461-1475.
Ali, R., Kuriqi, A. and Kisi, O., 2020. Human–environment natural disasters interconnection in China: A review. Climate, 8(4), p.48.
Vishwakarma, D.K., Pandey, K., Kaur, A., Kushwaha, N.L., Kumar, R., Ali, R., Elbeltagi, A. and Kuriqi, A., 2022. Methods to estimate evapotranspiration in humid and subtropical climate conditions. Agricultural Water Management, 261, p.107378.
Khan, N., Shahid, S., Ahmed, K., Wang, X., Ali, R., Ismail, T. and Nawaz, N., 2020. Selection of GCMs for the projection of spatial distribution of heat waves in Pakistan. Atmospheric Research, 233, p.104688.
Wange, X.J., 2017. Evaluation of the performance of gridded precipitation products over Balochistan Province, Pakistan. Desalination and Water Treatment, 1, p.14.
Singh, A.K., Kumar, P., Ali, R., Al-Ansari, N., Vishwakarma, D.K., Kushwaha, K.S., Panda, K.C., Sagar, A., Mirzania, E., Elbeltagi, A. and Kuriqi, A., 2022. An integrated statistical-machine learning approach for runoff prediction. Sustainability, 14(13), p.8209.
Sediqi, M.N., Shiru, M.S., Nashwan, M.S., Ali, R., Abubaker, S., Wang, X., Ahmed, K., Shahid, S., Asaduzzaman, M. and Manawi, S.M.A., 2019. Spatio-temporal pattern in the changes in availability and sustainability of water resources in Afghanistan. Sustainability, 11(20), p.5836.
Ali, R.O. and Abubaker, S.R., 2019. Trend analysis using Mann-Kendall, Sen’s slope estimator test and innovative trend analysis method in Yangtze River basin, China. International Journal of Engineering & Technology, 8(2), pp.110-119.
Shukla, R., Kumar, P., Vishwakarma, D.K., Ali, R., Kumar, R. and Kuriqi, A., 2021. Modeling of stage-discharge using back propagation ANN-, ANFIS-, and WANN-based computing techniques. Theoretical and Applied Climatology, pp.1-23.
Mohammed, S., Alsafadi, K., Ali, H., Mousavi, S.M.N., Kiwan, S., Hennawi, S., Harsanyie, E., Pham, Q.B., Linh, N.T.T., Ali, R. and Anh, D.T., 2022. Assessment of land suitability potentials for winter wheat cultivation by using a multi criteria decision Support-Geographic information system (MCDS-GIS) approach in Al-Yarmouk Basin (Syria). Geocarto International, 37(6), pp.1645-1663.
Vishwakarma, D.K., Ali, R., Bhat, S.A., Elbeltagi, A., Kushwaha, N.L., Kumar, R., Rajput, J., Heddam, S. and Kuriqi, A., 2022. Pre-and post-dam river water temperature alteration prediction using advanced machine learning models. Environmental Science and Pollution Research, 29(55), pp.83321-83346.
Kumar, M., Kumari, A., Kushwaha, D.P., Kumar, P., Malik, A., Ali, R. and Kuriqi, A., 2020. Estimation of daily stage–discharge relationship by using data-driven techniques of a perennial river, India. Sustainability, 12(19), p.7877.
Ahmad Bhat, S., Kuriqi, A., Dar, M.U.D., Bhat, O., Sammen, S.S., Towfiqul Islam, A.R.M., Elbeltagi, A., Shah, O., Ai-Ansari, N., Ali, R. and Heddam, S., 2022. Application of biochar for improving physical, chemical, and hydrological soil properties: a systematic review. Sustainability, 14(17), p.11104.
Kumar, M., Kumari, A., Kumar, D., Al-Ansari, N., Ali, R., Kumar, R., Kumar, A., Elbeltagi, A. and Kuriqi, A., 2021. The superiority of data-driven techniques for estimation of daily pan evaporation. Atmosphere, 12(6), p.701.
Markuna, S., Kumar, P., Ali, R., Vishwkarma, D.K., Kushwaha, K.S., Kumar, R., Singh, V.K., Chaudhary, S. and Kuriqi, A., 2023. Application of innovative machine learning techniques for long-term rainfall prediction. Pure and Applied Geophysics, 180(1), pp.335-363.
Ali, R., Ismael, A., Heryansyah, A. and Nawaz, N., 2019. Long term historic changes in the flow of lesser Zab River, Iraq. Hydrology, 6(1), p.22.
Khan, N., Shahid, S., Chung, E.S., Kim, S. and Ali, R., 2019. Influence of surface water bodies on the land surface temperature of Bangladesh. Sustainability, 11(23), p.6754.
Othman Ali, R., Chunju, Z., Yihon, Z. and Imran Azam, M., 2018. The effects of human activities, climatic conditions and land-use factors on water resources development in huai river basin northeast china. Int J Hydro, 2(2), pp.107-114.
Nawaz, N., Harun, S., Othman, R. and Heryansyah, A., 2016. Rainfall runoff modeling by multilayer perceptron neural network for Lui River catchment. Jurnal Teknologi, 78(6-12).
Singh, A.K., Kumar, P., Ali, R., Al-Ansari, N., Vishwakarma, D.K., Kushwaha, K.S., Panda, K.C., Sagar, A., Mirzania, E., Elbeltagi, A. and Kuriqi, A., 2022. Application of machine learning technique for rainfall-runoff modelling of highly dynamic watersheds.
Ali, R.O., Heryansyaha, A. and Nawaz, N., 2018. Impact of Climate Change on Water Resources in Huai River Basin, China. Int. J. Eng. Technol, 7, pp.2225-2230.
Ali, R.O., Abubaker, S.R. and Islam, S., 2019. Overview effect of three gorges reservoir on the changing water temperature in the Yangtze river, China. Int J Hydro, 3(3), pp.230-237.
Ali, R.O., Chunju, Z., Yihon, Z. and Nawaz, N., 2018. The challenges of water resources availability and development in Huai River Basin, China. constructions, 1, p.2.
Nawaz, N., Harun, S., Othman, R. and Heryansyah, A., 2016. Application of Radial Basis Function Neural Networks for Modelling Rainfall-Runoff Processes: A Case Study of Semenyih River Catchment, Malaysia. Chiang Mai Journal of Science, 43, pp.1358-1367.
Kumar, M., Elbeltagi, A., Srivastava, A., Kumari, A., Ali, R., Pande, C., Bajirao, T.S., Islam, A.R.M.T. and Kushwaha, D.P., 2021. Prediction of Daily Streamflow Using Various Kernel Function Based Regression: A Case Study in India.
Nawaz, N., Harun, S., Othman, R. and Heryansyah, A., 2016. Neuro-fuzzy systems approach to infill missing rainfall data for Klang River catchment, Malaysia. Jurnal Teknologi, 78(6-12).
Gupta, S., Kumar, P., Kishore, G., Ali, R., Al-Ansari, N., Vishwakarma, D.K., Kuriqi, A., Pham, Q.B., Kisi, O., Heddam, S. and Mattar, M.A., 2024. Sensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network. Applied Water Science, 14(6), p.138.
Omar, F.O., Rasul, A. and Ali, R., 2023. Assessment of Surface Runoff and Suitability for Rain Water Harvesting in the Greater Zab Basin Using the NRCS-CN and AHP Methods. Polytechnic Journal of Humanities and Social Sciences, 4(2), pp.695-703.
Ali, R.O. and Heryansyah, A., 2018. WATERSHED RETENTION CAPACITY APPROACH FOR IDENTIFYING WATER RESOURCE PROBLEMS-CASE STUDY FROM MALAYSIA. Polytechnic Journal, 8(1), p.9.
Kamal Ahmed, K.A., Shamsuddin Shahid, S.S., Ali, R.O., Sobri Harun, S.H. and Wang XiaoJun, W.X., 2017. Evaluation of the performance of gridded precipitation products over Balochistan province, Pakistan.
ALI, R.O., 2012. THE STUDY OF WATERSHED RETENTION APPROACH TO IDENTIFY WATER RESOURCES PROBLEMS AT JOHOR WATERSHED.
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