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:

Machine learning for international freight transportation management: A comprehensive review
Limon Barua, Bo Zou, Yan Zhou
Research in Transportation Business & Management (2020) Vol. 34, pp. 100453-100453
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

2D boron nitride nanosheets for polymer composite materials
Md Golam Rasul, Alper Kızıltaş, Babak Arfaei, et al.
npj 2D Materials and Applications (2021) Vol. 5, Iss. 1
Open Access | Times Cited: 206

Applications of machine learning methods in port operations – A systematic literature review
Siyavash Filom, Amir Mohammad Amiri, Saiedeh Razavi
Transportation Research Part E Logistics and Transportation Review (2022) Vol. 161, pp. 102722-102722
Closed Access | Times Cited: 82

Utilizing machine learning on freight transportation and logistics applications: A review
Kalliopi Tsolaki, Thanasis Vafeiadis, Alexandros Nizamis, et al.
ICT Express (2022) Vol. 9, Iss. 3, pp. 284-295
Open Access | Times Cited: 67

Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda
Clara Suraña‐Sánchez, María Elena Aramendia-Muneta
International Journal of Consumer Studies (2024) Vol. 48, Iss. 2
Open Access | Times Cited: 12

Vessel turnaround time prediction: A machine learning approach
Zhong Chu, Ran Yan, Shuaian Wang
Ocean & Coastal Management (2024) Vol. 249, pp. 107021-107021
Closed Access | Times Cited: 10

Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices
Hoang Phuong Nguyen, Cao Thao Uyen Nguyen, Thi Men Tran, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 1-1
Open Access | Times Cited: 8

Emerging technology and management research in the container terminals: Trends and the COVID-19 pandemic impacts
Chenhao Zhou, Shengda Zhu, Michael G.H. Bell, et al.
Ocean & Coastal Management (2022) Vol. 230, pp. 106318-106318
Open Access | Times Cited: 34

Innovations in freight transport: a systematic literature evaluation and COVID implications
Reza Kiani Mavi, Neda Kiani Mavi, Doina Olaru, et al.
The International Journal of Logistics Management (2022) Vol. 33, Iss. 4, pp. 1157-1195
Closed Access | Times Cited: 30

A gradient boosting approach to understanding airport runway and taxiway pavement deterioration
Limon Barua, Bo Zou, Mohamadhossein Noruzoliaee, et al.
International Journal of Pavement Engineering (2020) Vol. 22, Iss. 13, pp. 1673-1687
Closed Access | Times Cited: 44

Optimizing Lift-up Design to Maximize Pedestrian Wind and Thermal Comfort in ‘Hot-Calm’ and ‘Cold-Windy’ Climates
A.U. Weerasuriya, Xuelin Zhang, Bin Lu, et al.
Sustainable Cities and Society (2020) Vol. 58, pp. 102146-102146
Closed Access | Times Cited: 43

Collaborative intuitionistic fuzzy-AHP to evaluate simulation-based analytics for freight transport
Mohamed Amine Ben Rabia, Adil Bellabdaoui
Expert Systems with Applications (2023) Vol. 225, pp. 120116-120116
Closed Access | Times Cited: 13

An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation
Van Vu, Phuoc Tai Le, Thi Mai Thom, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 158-158
Open Access | Times Cited: 5

Guiding practitioners of road freight transport to implement machine learning for operational planning tasks
Sandra Lechtenberg, Bernd Hellingrath
Transportation research procedia (2025) Vol. 82, pp. 1839-1857
Open Access

Leveraging machine learning and optimization models for enhanced seaport efficiency
Mahdi Jahangard, Ying Xie, Yuanjun Feng
Maritime Economics & Logistics (2025)
Open Access

Machine learning for intelligent welding and manufacturing systems: research progress and perspective review
Sachin Kumar, Vidit Gaur, Chuansong Wu
The International Journal of Advanced Manufacturing Technology (2022) Vol. 123, Iss. 11-12, pp. 3737-3765
Closed Access | Times Cited: 19

Applying and Comparing LSTM and ARIMA to Predict CO Levels for a Time-Series Measurements in a Port Area
Evangelos D. Spyrou, Ioannis G. Tsoulos, Chrysostomos Stylios
Signals (2022) Vol. 3, Iss. 2, pp. 235-248
Open Access | Times Cited: 14

Container terminal daily gate in and gate out forecasting using machine learning methods
Jiahuan Jin, Mingyu Ma, Huan Jin, et al.
Transport Policy (2022) Vol. 132, pp. 163-174
Closed Access | Times Cited: 14

Modelling Ships Main and Auxiliary Engine Powers with Regression-Based Machine Learning Algorithms
Fatih Okumuş, Araks Ekmekçioğlu, Selin Soner Kara
Polish Maritime Research (2021) Vol. 28, Iss. 1, pp. 83-96
Open Access | Times Cited: 18

Estimating turbulence intensity along the glide path using wind tunnel experiments combined with interpretable tree-based machine learning algorithms
Afaq Khattak, Pak Wai Chan, Feng Chen, et al.
Building and Environment (2023) Vol. 239, pp. 110385-110385
Closed Access | Times Cited: 7

A Machine Learning Predictive Model for Ship Fuel Consumption
Rhuan Fracalossi Melo, Nélio Moura de Figueiredo, Maisa Sales Gama Tobias, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7534-7534
Open Access | Times Cited: 2

Impact of environmental energy facility planning and design on energy management in urban development
Dharmesh Dhabliya, Muntather Almusawi, Saba Ameer, et al.
E3S Web of Conferences (2024) Vol. 564, pp. 08005-08005
Open Access | Times Cited: 2

Planning maintenance and rehabilitation activities for airport pavements: A combined supervised machine learning and reinforcement learning approach
Limon Barua, Bo Zou
International Journal of Transportation Science and Technology (2021) Vol. 11, Iss. 2, pp. 423-435
Open Access | Times Cited: 17

Forecasting Shanghai Container Freight Index: A Deep-Learning-Based Model Experiment
Enna Hirata, Takuma Matsuda
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 5, pp. 593-593
Open Access | Times Cited: 11

Hierarchical container throughput forecasting: The value of coherent forecasts in the management of ports operations
Kamal Sanguri, Sonali Shankar, Sushil Punia, et al.
Computers & Industrial Engineering (2022) Vol. 173, pp. 108651-108651
Closed Access | Times Cited: 11

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