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OpenAlex Citation Counts

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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:

Particle swarm optimization based LSTM networks for water level forecasting: A case study on Bangladesh river network
Jannatul Ferdous Ruma, Mohammed Sarfaraz Gani Adnan, Ashraf Dewan, et al.
Results in Engineering (2023) Vol. 17, pp. 100951-100951
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Investigation of optimized machine learning models with PSO for forecasting the shear capacity of steel fiber-reinforced SCC beams with/out stirrups
Faruk Ergen, Metin Katlav
Journal of Building Engineering (2024) Vol. 83, pp. 108455-108455
Closed Access | Times Cited: 27
Enhancing road traffic flow prediction with improved deep learning using wavelet transforms
Fouzi Harrou, Abdelhafid Zeroual, Farid Kadri, et al.
Results in Engineering (2024) Vol. 23, pp. 102342-102342
Open Access | Times Cited: 18
River stream flow prediction through advanced machine learning models for enhanced accuracy
Naresh Kedam, Deepak Kumar Tiwari, Vijendra Kumar, et al.
Results in Engineering (2024) Vol. 22, pp. 102215-102215
Open Access | Times Cited: 16
A new frontier in streamflow modeling in ungauged basins with sparse data: A modified generative adversarial network with explainable AI
U.A.K.K. Perera, D.T.S. Coralage, I.U. Ekanayake, et al.
Results in Engineering (2024) Vol. 21, pp. 101920-101920
Open Access | Times Cited: 15
Daily flow discharge prediction using integrated methodology based on LSTM models: Case study in Brahmani-Baitarani basin
Abinash Sahoo, Swayamshu Satyapragnya Parida, Sandeep Samantaray, et al.
HydroResearch (2024) Vol. 7, pp. 272-284
Open Access | Times Cited: 15
Deep learning for Multi-horizon Water levelForecasting in KRS reservoir, India
Abhinav Dayal, Sridevi Bonthu, Vamsi Nagaraju T, et al.
Results in Engineering (2024) Vol. 21, pp. 101828-101828
Open Access | Times Cited: 14
Energy consumption prediction in water treatment plants using deep learning with data augmentation
Fouzi Harrou, Abdelkader Dairi, Abdelhakim Dorbane, et al.
Results in Engineering (2023) Vol. 20, pp. 101428-101428
Open Access | Times Cited: 35
LULC changes to riverine flooding: A case study on the Jamuna River, Bangladesh using the multilayer perceptron model
Md Mehedi Hasan, Md Sahjalal Mondol Nilay, Nahid Hossain Jibon, et al.
Results in Engineering (2023) Vol. 18, pp. 101079-101079
Open Access | Times Cited: 26
DTTR: Encoding and decoding monthly runoff prediction model based on deep temporal attention convolution and multimodal fusion
Wenchuan Wang, Wei-can Tian, Xiao-xue Hu, et al.
Journal of Hydrology (2024) Vol. 643, pp. 131996-131996
Closed Access | Times Cited: 13
A novel additive regression model for streamflow forecasting in German rivers
Francesco Granata, Fabio Di Nunno, Quoc Bao Pham
Results in Engineering (2024) Vol. 22, pp. 102104-102104
Open Access | Times Cited: 11
Estimating soil moisture content in citrus orchards using multi-temporal sentinel-1A data-based LSTM and PSO-LSTM models
Zongjun Wu, Ningbo Cui, Wenjiang Zhang, et al.
Journal of Hydrology (2024) Vol. 637, pp. 131336-131336
Closed Access | Times Cited: 8
Forecasting the River Water Discharge by Artificial Intelligence Methods
Alina Bărbulescu, Zhen Liu
Water (2024) Vol. 16, Iss. 9, pp. 1248-1248
Open Access | Times Cited: 6
Particle Swarm Optimized Deep Learning Models for Rainfall Prediction: A Case Study in Aizawl, Mizoram
Chawngthu Zoremsanga, Jamal Hussain
IEEE Access (2024) Vol. 12, pp. 57172-57184
Open Access | Times Cited: 5
Method and Validation of Coal Mine Gas Concentration Prediction by Integrating PSO Algorithm and LSTM Network
Guangyu Yang, Quanjie Zhu, Dacang Wang, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 898-898
Open Access | Times Cited: 5
Forecasting water levels using ConvLSTM algorithm in the Everglades, USA
Raidan Bassah, Gerald Corzo, Biswa Bhattacharya, et al.
Journal of Hydrology (2025), pp. 132195-132195
Closed Access
Prediction of spatial-temporal flood water level in agricultural fields using advanced machine learning and deep learning approaches
Adisa Hammed Akinsoji, Bashir Adelodun, Qudus Adeyi, et al.
Natural Hazards (2025)
Closed Access
Prediction of drought-flood prone zones in inland mountainous regions under climate change with assessment and enhancement strategies for disaster resilience in high-standard farmland
Yongheng Shen, Qingxia Guo, Zhenghao Liu, et al.
Agricultural Water Management (2025) Vol. 309, pp. 109349-109349
Open Access
A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting
Iman Ahmadianfar, Aitazaz A. Farooque, Mumtaz Ali, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Prediction Model of Ammonia Nitrogen Concentration in Aquaculture Based on Improved AdaBoost and LSTM
Yiyang Wang, Dehao Xu, Xianpeng Li, et al.
Mathematics (2024) Vol. 12, Iss. 5, pp. 627-627
Open Access | Times Cited: 4
Daily Streamflow Forecasting Using Networks of Real-Time Monitoring Stations and Hybrid Machine Learning Methods
Yue Zhang, Zimo Zhou, Ying Deng, et al.
Water (2024) Vol. 16, Iss. 9, pp. 1284-1284
Open Access | Times Cited: 4
Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review
Adisa Hammed Akinsoji, Bashir Adelodun, Qudus Adeyi, et al.
Water Resources Management (2024) Vol. 38, Iss. 12, pp. 4735-4761
Closed Access | Times Cited: 4
Improving flood forecasting using time-distributed CNN-LSTM model: a time-distributed spatiotemporal method
Haider Ali Malik, Jun Feng, Pingping Shao, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 4
sEMG signal filtering study using synchrosqueezing wavelet transform with differential evolution optimized threshold
Chuanjiang Li, Huiyin Deng, Shiyi Yin, et al.
Results in Engineering (2023) Vol. 18, pp. 101150-101150
Open Access | Times Cited: 8
Flood prediction with time series data mining: Systematic review
Dimara Kusuma Hakim, Rahmat Gernowo, Anang Widhi Nirwansyah
Natural Hazards Research (2023) Vol. 4, Iss. 2, pp. 194-220
Open Access | Times Cited: 8
Hybrid deep learning models for multi-ahead river water level forecasting
Abul Kashem, Pobithra Das, Md. Mahmudul Hasan, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3021-3037
Closed Access | Times Cited: 2
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