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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:

Quantum physical analysis of caffeine and nicotine in CCL4 and DMSO solvent using density functional theory
Manoj Sah, Rimjhim Chaudhary, Suresh Kumar Sahani, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Deep Learning-Powered IoT Solutions for Real-Time Environment Perception and Navigation in Autonomous Vehicles With NLP Features
T. V. Hyma Lakshmi, C. Gnana Kousalya, Ragini Mishra, et al.
Advances in computational intelligence and robotics book series (2025), pp. 187-204
Closed Access
Predictive Analytics for Risk Reduction in Vehicle Supply Chain Management
Mohd Naved, Mohd Naved, K. Mahajan, et al.
Advances in computational intelligence and robotics book series (2025), pp. 391-404
Closed Access
ML Tools for Safety in Automotive Financial Risk Management
Shardul Singh Chauhan, S. Hariprasad, Raja Mannar Badur, et al.
Advances in computational intelligence and robotics book series (2025), pp. 405-422
Closed Access
NLP Voice Assistance for IoT Autonomous Vehicles Using ML Algorithms for Seamless Navigation
K. Sudhakar, P. Srivani, Sudarshan Sudarshan, et al.
Advances in computational intelligence and robotics book series (2025), pp. 359-374
Closed Access
AI-Based Economic Models for Evaluating Vehicle Safety Costs and Benefits
S. Surya, N. S. Bala Nimoshini Supraja, S. Prince Chelladurai, et al.
Advances in computational intelligence and robotics book series (2025), pp. 221-236
Closed Access
IoT-Connected Vehicle Networks Using Machine Learning and NLP for Enhanced Traffic Management and Autonomous Driving Efficiency
S. Saravanan, Akanksha Dubey, T. Kishore Babu, et al.
Advances in computational intelligence and robotics book series (2025), pp. 267-284
Closed Access
Predictive Analytics in Automotive Insurance for Financial Risk Mitigation
Sherzod Kiyosov
Advances in computational intelligence and robotics book series (2025), pp. 423-436
Closed Access
Predictive Models for Recruiting Talent in Autonomous Vehicle Safety Development
N. R. Shandy, R. Swathy, L. K. Shoba, et al.
Advances in computational intelligence and robotics book series (2025), pp. 483-500
Closed Access
Economic Implications of AI-Powered Safety Features in Vehicles
S. Surya, M. Sreenivasa Rao, Prolay Ghosh, et al.
Advances in computational intelligence and robotics book series (2025), pp. 91-108
Closed Access
Banking Sector Innovations Supporting Safer Automotive Technologies
Dilora Abdurakhimova, Azamat Botirov, Javlonbek Kurbonov, et al.
Advances in computational intelligence and robotics book series (2025), pp. 33-46
Closed Access
Real-Time Financial and Traffic for Marketing Management Through Deep Learning for IoT-Integrated Autonomous Vehicle System
B. Vasudevan, R. Selvameena, G. Manikandan
Advances in computational intelligence and robotics book series (2025), pp. 437-452
Closed Access
Leveraging Neural Networks for Consumer Trust in Safer Vehicles
Madinakhon Rakhmedova, Dilnozakhon Mukhitdinova, Azamat Botirov, et al.
Advances in computational intelligence and robotics book series (2025), pp. 285-304
Closed Access
Deep Learning Tools for Strategic Planning in Vehicle Safety Standards
Shokhyora Otakhonova, Omonullo N. Khamdamov, Shakhlo Begmatova, et al.
Advances in computational intelligence and robotics book series (2025), pp. 173-186
Closed Access
Deep Learning for Real-Time Traffic Analysis and Decision-Making in IoT-Connected Autonomous Vehicles
J. Sulthan Alikhan, J. Dhyaneswaran, K. Kanagasabapathi, et al.
Advances in computational intelligence and robotics book series (2025), pp. 61-74
Closed Access
Intelligent Deep Learning Architectures for Real-Time Traffic Analysis and Decision Support in IoT-Enabled Autonomous Vehicles
S. Lokesh, R. Selvameena, Thanikanti Sudhakar Babu, et al.
Advances in computational intelligence and robotics book series (2025), pp. 143-158
Closed Access
Data-Driven Marketing for Promoting AI-Enhanced Vehicle Safety Features
Budesh Kanwer, Bandi Rambabu, Kajal Chheda, et al.
Advances in computational intelligence and robotics book series (2025), pp. 47-60
Closed Access
Decision-Making in Automotive Working Employee Safety Projects Using AI With IoT-Driven Analytics Using Big Data
A. Prithiviraj, R. Selvameena, T.G. Venkatesh Babu
Advances in computational intelligence and robotics book series (2025), pp. 75-90
Closed Access
Cost-Benefit Analysis of AI Safety Upgrades in Automotive Manufacturing
Pramod Kumar Patjoshi, Raman Periyannan, Sudhansu Sekhar Nanda, et al.
Advances in computational intelligence and robotics book series (2025), pp. 205-220
Closed Access
Financial Strategies for Talent Acquisition in AI-Powered Autonomous Vehicles Safety Projects
Ghousia Imam, Sankuri Keshavanagu, N. B. Mahesh Kumar, et al.
Advances in computational intelligence and robotics book series (2025), pp. 127-142
Closed Access
Evaluating Economic Benefits of AI-Powered Crash Prevention Technologies
S. Surya, Vaishali Langote, Javeed Ahammed, et al.
Advances in computational intelligence and robotics book series (2025), pp. 237-250
Closed Access
Advanced Deep Learning for IoT Sensor Data Processing in Autonomous Vehicle Navigation Systems
D. R. Denslin Brabin, W Agitha, P. Swarna Lakshmi, et al.
Advances in computational intelligence and robotics book series (2025), pp. 1-14
Closed Access
Machine Learning for Consumer-Centric Safety in Automotive Commerce
N. Madhumithaa, Triveni Rao, Rohit Gupta, et al.
Advances in computational intelligence and robotics book series (2025), pp. 305-318
Closed Access
Machine Learning in Understanding Public Perceptions and Expectations in Accuracy of Automotive Safety
Sharanabasappa Raikoti, C. Arunabala, Saranya Vinayagam, et al.
Advances in computational intelligence and robotics book series (2025), pp. 375-390
Closed Access
Machine Learning for Enhancing Workforce Safety in Automotive Manufacturing
Murodulla Toshpulatov, Omonullo Khamdamov, Nazokat Abdullaeva, et al.
Advances in computational intelligence and robotics book series (2025), pp. 345-358
Closed Access
Predictive Economic Modeling for Adoption of Safety Features in Vehicles
D Devi, Ravi Kumar, J. Srimathi, et al.
Advances in computational intelligence and robotics book series (2025), pp. 453-468
Closed Access
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