Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An emotional artificial neural network for prediction of vehicular traffic noise
Vahid Nourani, Hüseyin Gökçekuş, Ibrahim Khalil Umar, et al.
The Science of The Total Environment (2019) Vol. 707, pp. 136134-136134
Closed Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

A Review of Traffic Congestion Prediction Using Artificial Intelligence
Mahmuda Akhtar, Sara Moridpour
Journal of Advanced Transportation (2021) Vol. 2021, pp. 1-18
Open Access | Times Cited: 190
Advanced computational strategies for lithium chemical and electrochemical adsorption: A comprehensive state-of-the-art review
Yanan Pan, Weiquan Zhan, Wencai Zhang
Desalination (2025), pp. 118524-118524
Closed Access | Times Cited: 3
Hybrid Machine Learning Ensemble Techniques for Modeling Dissolved Oxygen Concentration
Sani I. Abba, Nguyễn Thị Thùy Linh, Jazuli Abdullahi, et al.
IEEE Access (2020) Vol. 8, pp. 157218-157237
Open Access | Times Cited: 80
Deep learning and gradient boosting for urban environmental noise monitoring in smart cities
Jérémy Renaud, Ralph Karam, Michel Salomon, et al.
Expert Systems with Applications (2023) Vol. 218, pp. 119568-119568
Open Access | Times Cited: 32
The Use of Artificial Intelligence to Optimize the Routing of Vehicles and Reduce Traffic Congestion in Urban Areas
Srishti Dikshit, Areeba Atiq, Mohammad Shahid, et al.
EAI Endorsed Transactions on Energy Web (2023) Vol. 10
Open Access | Times Cited: 31
Intelligent process optimisation based on cutting-edge emotional learning for performance evaluation of NF/RO of seawater desalination plant
Sani I. Abba, Mohammed Benaafi, Isam H. Aljundi
Desalination (2023) Vol. 550, pp. 116376-116376
Closed Access | Times Cited: 26
Traffic noise prediction model of an Indian road: an increased scenario of vehicles and honking
Chaitanya Thakre, Vijaya Laxmi, Ritesh Vijay, et al.
Environmental Science and Pollution Research (2020) Vol. 27, Iss. 30, pp. 38311-38320
Closed Access | Times Cited: 57
Comparative implementation between neuro-emotional genetic algorithm and novel ensemble computing techniques for modelling dissolved oxygen concentration
Sani I. Abba, Rabiu Aliyu Abdulkadir, Saad Sh. Sammen, et al.
Hydrological Sciences Journal (2021) Vol. 66, Iss. 10, pp. 1584-1596
Closed Access | Times Cited: 45
Estimation of Suspended Sediment Load Using Artificial Intelligence‐Based Ensemble Model
Vahid Nourani, Hüseyin Gökçekuş, Gebre Gelete
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 41
Sandstone groundwater salinization modelling using physicochemical variables in Southern Saudi Arabia: Application of novel data intelligent algorithms
Sani I. Abba, Mohammed Benaafi, A. G. Usman, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 3, pp. 101894-101894
Open Access | Times Cited: 32
Predicting highly dynamic traffic noise using rotating mobile monitoring and machine learning method
Yuyang Zhang, Huimin Zhao, Yan Li, et al.
Environmental Research (2023) Vol. 229, pp. 115896-115896
Closed Access | Times Cited: 21
Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling
Sani I. Abba, Rabiu Aliyu Abdulkadir, Saad Sh. Sammen, et al.
Applied Soft Computing (2021) Vol. 114, pp. 108036-108036
Open Access | Times Cited: 40
Inverse groundwater salinization modeling in a sandstone’s aquifer using stand-alone models with an improved non-linear ensemble machine learning technique
Sani I. Abba, Mohammed Benaafi, A. G. Usman, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 10, pp. 8162-8175
Open Access | Times Cited: 23
Modelling of traffic noise in the vicinity of urban road intersections
Adarsh Yadav, Jyoti Mandhani, Manoranjan Parida, et al.
Transportation Research Part D Transport and Environment (2022) Vol. 112, pp. 103474-103474
Closed Access | Times Cited: 23
An intelligent hybridized computing technique for the prediction of roadway traffic noise in urban environment
Ibrahim Khalil Umar, Vahid Nourani, Hüseyin Gökçekuş, et al.
Soft Computing (2023) Vol. 27, Iss. 15, pp. 10807-10825
Open Access | Times Cited: 14
Statistical modeling of traffic noise at intersections in a mid-sized city, India
Adarsh Yadav, Manoranjan Parida, Brind Kumar
Noise Mapping (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 13
Measurement and prediction of road traffic noise at different floor levels of buildings in a mid-sized Indian city
Ashish Kumar Chouksey, Brind Kumar, Manoranjan Parida, et al.
Journal of Building Engineering (2024) Vol. 92, pp. 109711-109711
Closed Access | Times Cited: 5
Newly explored machine learning model for river flow time series forecasting at Mary River, Australia
Fang Cui, Sinan Q. Salih, Bahram Choubin, et al.
Environmental Monitoring and Assessment (2020) Vol. 192, Iss. 12
Closed Access | Times Cited: 37
Monthly surface runoff prediction using artificial intelligence: A study from a tropical climate river basin
Beeram Satya Narayana Reddy, S. K. Pramada, Thendiyath Roshni
Journal of Earth System Science (2021) Vol. 130, Iss. 1
Closed Access | Times Cited: 29
Using Noise Pollution Data for Traffic Prediction in Smart Cities: Experiments Based on LSTM Recurrent Neural Networks
Faraz Malik Awan, Roberto Minerva, Noël Crespi
IEEE Sensors Journal (2021) Vol. 21, Iss. 18, pp. 20722-20729
Closed Access | Times Cited: 28
Dynamic real-time energy saving control of pressure-swing distillation based on artificial neural networks
Haixia Li, Wenxin Wang, Yumeng Wang, et al.
Chemical Engineering Science (2023) Vol. 282, pp. 119271-119271
Closed Access | Times Cited: 11
The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview
Ibrahim Khalil Umar, Musa Adamu, Nour Mostafa, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Traffic Noise Modeling under Mixed Traffic Condition in Mid-Sized Indian City: A Linear Regression and Neural Network-Based Approach
Rohit Patel, Prasoon Kumar Singh, Shivam Saw
International Journal of Mathematical Engineering and Management Sciences (2024) Vol. 9, Iss. 3, pp. 411-434
Open Access | Times Cited: 4
Reduction of Delays at Isolated Signalized Intersection using Novel Golden Eagle-Based Fuzzy Signal Controller
N. Malathi, Molugaram Kumar
Transportation research procedia (2025) Vol. 82, pp. 3752-3767
Open Access
Hybrid emotional neural networks and novel multi-model stacking algorithms for multi-lake water level fluctuation modeling
Gebre Gelete, Tagesse Gichamo, Tesfalem Abraham, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
Page 1 - Next Page

Scroll to top