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:

On Exploration of Classifier Ensemble Synergism in Pedestrian Detection
Luciano Oliveira, Urbano Nunes, Paulo Peixoto
IEEE Transactions on Intelligent Transportation Systems (2009) Vol. 11, Iss. 1, pp. 16-27
Closed Access | Times Cited: 58

Showing 26-50 of 58 citing articles:

Fusing multiple image transformations and a thermal sensor with kinect to improve person detection ability
Loreto Susperregi, Andoni Arruti, E. Jauregi, et al.
Engineering Applications of Artificial Intelligence (2013) Vol. 26, Iss. 8, pp. 1980-1991
Closed Access | Times Cited: 17

Theme Classification and Analysis of Core Articles Published in IEEE Transactions on Intelligent Transportation Systems From 2010 to 2013
Shaohu Tang, Zhengxi Li, Dewang Chen, et al.
IEEE Transactions on Intelligent Transportation Systems (2014) Vol. 15, Iss. 6, pp. 2710-2719
Closed Access | Times Cited: 12

Innovative Methods for Diagnosis Evergreen Utilizing Ultraspectral Image Inspection: A Review
Shaimaa Khudhair Salah
International Journal of Advances in Scientific Research and Engineering (2024) Vol. 10, Iss. 06, pp. 65-71
Open Access | Times Cited: 1

Opponent Colors for Human Detection
Rao Muhammad Anwer, David Vázquez, Antonio M. López
Lecture notes in computer science (2011), pp. 363-370
Closed Access | Times Cited: 11

System approach for multi-purpose representations of traffic scene elements
Jens Schmuedderich, Nils Einecke, Stephan Hasler, et al.
(2010), pp. 1677-1684
Open Access | Times Cited: 11

Bicyclist detection in large scale naturalistic driving video
Kai Yang, Chao Liu, Jiang Yu Zheng, et al.
(2014), pp. 1638-1643
Closed Access | Times Cited: 9

Pedestrian Detection Based on Clustered Poselet Models and Hierarchical and–or Grammar
Bo Li, Yaobin Chen, Fei‐Yue Wang
IEEE Transactions on Vehicular Technology (2014) Vol. 64, Iss. 4, pp. 1435-1444
Open Access | Times Cited: 9

PedPIV: Pedestrian Velocity Extraction From Particle Image Velocimetry
Muhammad Baqui, Rainald Löhner
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 21, Iss. 2, pp. 580-589
Closed Access | Times Cited: 9

Spatiotemporal Stacked Sequential Learning for Pedestrian Detection
Alejandro González, David Vázquez, Sebastian Ramos, et al.
Lecture notes in computer science (2015), pp. 3-12
Closed Access | Times Cited: 8

Categorization-based two-stage pedestrian detection system for naturalistic driving data
Kai Yang, Edward J. Delp, Eliza Yingzi Du
Signal Image and Video Processing (2014) Vol. 8, Iss. S1, pp. 135-144
Closed Access | Times Cited: 8

Scale-Adaptive Spatial Appearance Feature Density Approximation for Object Tracking
C. Y. Liu, N.H.C. Yung
IEEE Transactions on Intelligent Transportation Systems (2010) Vol. 12, Iss. 1, pp. 284-290
Closed Access | Times Cited: 9

Recognition of human walking/running actions based on neural network
Eladio Alvarez Valle, Oleg Starostenko
2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) (2013), pp. 239-244
Closed Access | Times Cited: 8

Robot Vision System for Real-Time Human Detection and Action Recognition
Satoshi Hoshino, Kyohei Niimura
Advances in intelligent systems and computing (2018), pp. 507-519
Closed Access | Times Cited: 8

Ceiling analysis of pedestrian recognition pipeline for an autonomous car application
Henry A Roncancio, André Carmona Hernandes, Marcelo Becker
(2013), pp. 215-220
Closed Access | Times Cited: 5

A Survey on Object Detect, Track and Identify Using Video Surveillance
Chandrashekhar D.Badgujar
IOSR Journal of Engineering (2012) Vol. 02, Iss. 10, pp. 71-76
Open Access | Times Cited: 5

Robust pedestrian detection using low level and high level features
Fariba Takarli, Ali Aghagolzadeh, Hadi Seyedarabi
(2013), pp. 1-6
Closed Access | Times Cited: 4

Visual and LIDAR Data Processing and Fusion as an Element of Real Time Big Data Analysis for Rail Vehicle Driver Support Systems
Alper M. Selver, Enes Ataç, Burak Belenlioglu, et al.
Advances in civil and industrial engineering book series (2017), pp. 40-66
Closed Access | Times Cited: 4

Effectiveness of an ensemble technique based on the distributivity equation in detecting suspicious network activity
Ewa Rak, Jaromir Sarzyński, Rafał Rak
Fuzzy Sets and Systems (2024) Vol. 488, pp. 109015-109015
Closed Access

A cascade framework for unoccluded and occluded pedestrian detection
Aayush Ankit, Irfan Riaz Ahmad, Hyunchul Shin
(2014), pp. 62-67
Closed Access | Times Cited: 2

Pedestrian Recognition by Using a Dynamic Modality Selection Approach
Adela-Maria Rus, Alexandrina Rogozan, Laura Dioşan, et al.
(2015), pp. 1862-1867
Closed Access | Times Cited: 1

A robust pedestrian detector based on heterogeneous feature fusion
Wei Liu, Xuelin Wang, Bing Yu, et al.
(2014), pp. 365-370
Closed Access | Times Cited: 1

Concept-aware ensemble system for pedestrian detection
Helin Lin, Kyounghoon Kim, Ki‐Young Choi
(2014), pp. 140-145
Closed Access | Times Cited: 1

Overview of CI research in automotive ITS
Danil Prokhorov
(2011), pp. 1-7
Closed Access | Times Cited: 1

An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning
Oxana Korzh, Ashish Sharma, Mikel Joaristi, et al.
2021 IEEE International Conference on Big Data (Big Data) (2020), pp. 5098-5107
Closed Access | Times Cited: 1

Procedure to improve the accuracy of dental implant failures by data science techniques
Nancy Ganz, Alicia Esther Ares, Horacio Daniel Kuna
Journal of Computer Science and Technology (2021) Vol. 21, Iss. 2, pp. e13-e13
Open Access | Times Cited: 1

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