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:

Cyber security in smart cities: A review of deep learning-based applications and case studies
Dongliang Chen, Paweł Wawrzyński, Zhihan Lv
Sustainable Cities and Society (2020) Vol. 66, pp. 102655-102655
Closed Access | Times Cited: 229

Showing 1-25 of 229 citing articles:

Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects
Abdul Rehman Javed, Faisal Shahzad, Saif Ur Rehman, et al.
Cities (2022) Vol. 129, pp. 103794-103794
Open Access | Times Cited: 384

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 331

Can smart city construction facilitate green total factor productivity? A quasi-natural experiment based on China’s pilot smart city
Hongli Jiang, Pengcheng Jiang, Dong Wang, et al.
Sustainable Cities and Society (2021) Vol. 69, pp. 102809-102809
Closed Access | Times Cited: 193

Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal
Sustainable Cities and Society (2022) Vol. 85, pp. 104089-104089
Closed Access | Times Cited: 173

IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities
Javed Ashraf, Marwa Keshk, Nour Moustafa, et al.
Sustainable Cities and Society (2021) Vol. 72, pp. 103041-103041
Closed Access | Times Cited: 132

Technological advancements toward smart energy management in smart cities
P. Pandiyan, Subramanian Saravanan, Usha Kothandaraman, et al.
Energy Reports (2023) Vol. 10, pp. 648-677
Open Access | Times Cited: 101

Deep Learning for Phishing Detection: Taxonomy, Current Challenges and Future Directions
Nguyet Quang, Ali Selamat, Ondřej Krejcar, et al.
IEEE Access (2022) Vol. 10, pp. 36429-36463
Open Access | Times Cited: 87

The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review

Iraqi Journal for Computer Science and Mathematics (2023), pp. 87-101
Open Access | Times Cited: 70

A thorough examination of smart city applications: Exploring challenges and solutions throughout the life cycle with emphasis on safeguarding citizen privacy
Xia Lei, D.T. Semirumi, Reza Rezaei
Sustainable Cities and Society (2023) Vol. 98, pp. 104771-104771
Closed Access | Times Cited: 59

Energy digitalization: Main categories, applications, merits, and barriers
A.G. Olabi, Mohammad Ali Abdelkareem, Hussam Jouhara
Energy (2023) Vol. 271, pp. 126899-126899
Closed Access | Times Cited: 50

A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management
Ruijie Cheng, Lei Hou, Sheng Xu
Buildings (2023) Vol. 13, Iss. 5, pp. 1143-1143
Open Access | Times Cited: 40

Machine Learning and Deep Learning Paradigms: From Techniques to Practical Applications and Research Frontiers
Kamran Razzaq, Mahmood Shah
Computers (2025) Vol. 14, Iss. 3, pp. 93-93
Open Access | Times Cited: 2

A study on semi-supervised learning in enhancing performance of AHU unseen fault detection with limited labeled data
Cheng Fan, Yichen Liu, Xuyuan Liu, et al.
Sustainable Cities and Society (2021) Vol. 70, pp. 102874-102874
Closed Access | Times Cited: 64

New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities
M. M. Kamruzzaman, Ibrahim Alrashdi, Ali Alqazzaz
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 59

Nation-scale reference evapotranspiration estimation by using deep learning and classical machine learning models in China
Juan Dong, Yuanjun Zhu, Xiaoxu Jia, et al.
Journal of Hydrology (2021) Vol. 604, pp. 127207-127207
Closed Access | Times Cited: 57

Augmented Reality (AR) and Cyber-Security for Smart Cities—A Systematic Literature Review
Nouf M. Alzahrani, Faisal Abdulaziz Alfouzan
Sensors (2022) Vol. 22, Iss. 7, pp. 2792-2792
Open Access | Times Cited: 57

Factors affecting sustainability of smart city services in China: From the perspective of citizens’ sense of gain
Guanying Huang, Dezhi Li, Lu‐Gang Yu, et al.
Habitat International (2022) Vol. 128, pp. 102645-102645
Open Access | Times Cited: 54

Research trends, themes, and insights on artificial neural networks for smart cities towards SDG-11
Akshat Jain, Ivan Henderson V. Gue, Prateek Jain
Journal of Cleaner Production (2023) Vol. 412, pp. 137300-137300
Open Access | Times Cited: 34

Resilience towarded Digital Twins to improve the adaptability of transportation systems
Hailin Feng, Haibin Lv, Zhihan Lv
Transportation Research Part A Policy and Practice (2023) Vol. 173, pp. 103686-103686
Open Access | Times Cited: 33

A Survey of Cyber-Physical Systems From a Game-Theoretic Perspective
Wayes Tushar, Chau Yuen, Tapan Kumar Saha, et al.
IEEE Access (2023) Vol. 11, pp. 9799-9834
Open Access | Times Cited: 27

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