OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
How to enhance hydrological predictions in hydrologically distinct watersheds of the Indian subcontinent?
Nikunj K. Mangukiya, Ashutosh Sharma, Chaopeng Shen
Hydrological Processes (2023) Vol. 37, Iss. 7
Open Access | Times Cited: 13
Nikunj K. Mangukiya, Ashutosh Sharma, Chaopeng Shen
Hydrological Processes (2023) Vol. 37, Iss. 7
Open Access | Times Cited: 13
Showing 13 citing articles:
Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning
Tadd Bindas, Wen‐Ping Tsai, Jiangtao Liu, et al.
Water Resources Research (2024) Vol. 60, Iss. 1
Open Access | Times Cited: 23
Tadd Bindas, Wen‐Ping Tsai, Jiangtao Liu, et al.
Water Resources Research (2024) Vol. 60, Iss. 1
Open Access | Times Cited: 23
Alternate pathway for regional flood frequency analysis in data-sparse region
Nikunj K. Mangukiya, Ashutosh Sharma
Journal of Hydrology (2024) Vol. 629, pp. 130635-130635
Closed Access | Times Cited: 22
Nikunj K. Mangukiya, Ashutosh Sharma
Journal of Hydrology (2024) Vol. 629, pp. 130635-130635
Closed Access | Times Cited: 22
A novel insight on input variable and time lag selection in daily streamflow forecasting using deep learning models
Amina Khatun, M.N. Nisha, Siddharth G. Chatterjee, et al.
Environmental Modelling & Software (2024) Vol. 179, pp. 106126-106126
Closed Access | Times Cited: 7
Amina Khatun, M.N. Nisha, Siddharth G. Chatterjee, et al.
Environmental Modelling & Software (2024) Vol. 179, pp. 106126-106126
Closed Access | Times Cited: 7
ML4FF: A machine-learning framework for flash flood forecasting applied to a Brazilian watershed
Jaqueline A. J. P. Soares, Luan Carlos de Sena Monteiro Ozelim, Luiz Bacelar, et al.
Journal of Hydrology (2025), pp. 132674-132674
Closed Access
Jaqueline A. J. P. Soares, Luan Carlos de Sena Monteiro Ozelim, Luiz Bacelar, et al.
Journal of Hydrology (2025), pp. 132674-132674
Closed Access
Improved streamflow simulations in hydrologically diverse basins using physically informed deep learning models
Bhanu Magotra, Manabendra Saharia, C. T. Dhanya
Hydrological Sciences Journal (2025)
Closed Access
Bhanu Magotra, Manabendra Saharia, C. T. Dhanya
Hydrological Sciences Journal (2025)
Closed Access
Mixture of experts leveraging informer and LSTM variants for enhanced daily streamflow forecasting
Zerong Rong, Wei Sun, Yutong Xie, et al.
Journal of Hydrology (2025), pp. 132737-132737
Closed Access
Zerong Rong, Wei Sun, Yutong Xie, et al.
Journal of Hydrology (2025), pp. 132737-132737
Closed Access
CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India
Nikunj K. Mangukiya, Kanneganti Bhargav Kumar, Pankaj Dey, et al.
Earth system science data (2025) Vol. 17, Iss. 2, pp. 461-491
Open Access
Nikunj K. Mangukiya, Kanneganti Bhargav Kumar, Pankaj Dey, et al.
Earth system science data (2025) Vol. 17, Iss. 2, pp. 461-491
Open Access
Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation
Jamal Hassan Ougahi, John S. Rowan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Jamal Hassan Ougahi, John S. Rowan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Enhancing hydrological time series forecasting with a hybrid Bayesian-ConvLSTM model optimized by particle swarm optimization
Hüseyin Çağan Kılınç, Sina Apak, Mahmut Esad Ergin, et al.
Acta Geophysica (2025)
Open Access
Hüseyin Çağan Kılınç, Sina Apak, Mahmut Esad Ergin, et al.
Acta Geophysica (2025)
Open Access
A novel multi-model ensemble framework for fluvial flood inundation mapping
Nikunj K. Mangukiya, Shashwat Kushwaha, Ashutosh Sharma
Environmental Modelling & Software (2024) Vol. 180, pp. 106163-106163
Closed Access | Times Cited: 3
Nikunj K. Mangukiya, Shashwat Kushwaha, Ashutosh Sharma
Environmental Modelling & Software (2024) Vol. 180, pp. 106163-106163
Closed Access | Times Cited: 3
Integrating Euclidean and non-Euclidean spatial information for deep learning-based spatiotemporal hydrological simulation
Liangkun Deng, Xiang Zhang, Louise Slater, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131438-131438
Closed Access | Times Cited: 3
Liangkun Deng, Xiang Zhang, Louise Slater, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131438-131438
Closed Access | Times Cited: 3
Prediction of runoff at ungauged areas employing interpolation techniques and deep learning algorithm
Vinay Mahakur, Vijay Kumar Mahakur, Sandeep Samantaray, et al.
HydroResearch (2024)
Open Access | Times Cited: 1
Vinay Mahakur, Vijay Kumar Mahakur, Sandeep Samantaray, et al.
HydroResearch (2024)
Open Access | Times Cited: 1
Performance analysis of physically-based (HEC-RAS, CADDIES) and AI-based (LSTM) flood models for two case studies
Marina Batalini de Macedo, Nikunj K. Mangukiya, Maria Clara Fava, et al.
Proceedings of the International Association of Hydrological Sciences (2024) Vol. 386, pp. 41-46
Open Access
Marina Batalini de Macedo, Nikunj K. Mangukiya, Maria Clara Fava, et al.
Proceedings of the International Association of Hydrological Sciences (2024) Vol. 386, pp. 41-46
Open Access
Deep Learning‐Based Approach for Enhancing Streamflow Prediction in Watersheds With Aggregated and Intermittent Observations
Nikunj K. Mangukiya, Ashutosh Sharma
Water Resources Research (2024) Vol. 61, Iss. 1
Open Access
Nikunj K. Mangukiya, Ashutosh Sharma
Water Resources Research (2024) Vol. 61, Iss. 1
Open Access
