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:

Dense moment feature index and best match algorithms for video copy-move forgery detection
Junliu Zhong, Chi‐Man Pun, Yanfen Gan
Information Sciences (2020) Vol. 537, pp. 184-202
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward
Momina Masood, Marriam Nawaz, Khalid Mahmood Malik, et al.
Applied Intelligence (2022) Vol. 53, Iss. 4, pp. 3974-4026
Closed Access | Times Cited: 257

A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends
Walid El‐Shafai, Mona A. Fouda, El‐Sayed M. El‐Rabaie, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 4241-4307
Open Access | Times Cited: 23

Edwards curve digital signature algorithm for video integrity verification on blockchain framework
Linju Lawrence, R. Shreelekshmi
Science & Justice (2024) Vol. 64, Iss. 4, pp. 367-376
Closed Access | Times Cited: 5

Deep learning-based method for detection of copy-move forgery in videos
Reda Elbarougy, Osama Abdelfatah, G. M. Behery, et al.
Neural Computing and Applications (2025)
Closed Access

Double salted HMAC signature with blockchain for faster and secure video integrity verification
Linju Lawrence, R. Shreelekshmi
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access

A systematic literature review of video forgery detection techniques
Manpreet Kaur Aulakh, Navdeep Kanwal, Manish Bansal
Multimedia Tools and Applications (2025)
Closed Access

Spatiotemporal Trident Networks: Detection and Localization of Object Removal Tampering in Video Passive Forensics
Quanxin Yang, Dongjin Yu, Zhuxi Zhang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2020) Vol. 31, Iss. 10, pp. 4131-4144
Closed Access | Times Cited: 36

An efficient convolution neural network method for copy-move video forgery detection
Mohamed Meselhy Eltoukhy, Faisal S. Alsubaei, Akram M. Mortda, et al.
Alexandria Engineering Journal (2024) Vol. 110, pp. 429-437
Open Access | Times Cited: 4

DS-UNet: A dual streams UNet for refined image forgery localization
Yuanhang Huang, Shan Bian, Haodong Li, et al.
Information Sciences (2022) Vol. 610, pp. 73-89
Closed Access | Times Cited: 16

Effective and efficient pixel-level detection for diverse video copy-move forgery types
Jun-Liu Zhong, Yanfen Gan, Chi‐Man Vong, et al.
Pattern Recognition (2021) Vol. 122, pp. 108286-108286
Closed Access | Times Cited: 22

Deep Video Forensics: Unveiling Spatial Forgery Detection with Modified ResNet50
Upasana Singh, Sandeep Rathor, Manoj Kumar
2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (2024), pp. 260-265
Closed Access | Times Cited: 2

HEVC based tampered video database development for forensic investigation
Neetu Singla, Jyotsna Singh, Sushama Nagpal, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 17, pp. 25493-25526
Closed Access | Times Cited: 6

Towards general object-based video forgery detection via dual-stream networks and depth information embedding
Xiao Jin, Zhen He, Yongwei Wang, et al.
Multimedia Tools and Applications (2021) Vol. 81, Iss. 25, pp. 35733-35749
Closed Access | Times Cited: 13

First step towards parameters estimation of image operator chain
Xin Liao, Zihang Huang, Peng Lin, et al.
Information Sciences (2021) Vol. 575, pp. 231-247
Closed Access | Times Cited: 11

Video Surveillance Object Forgery Detection using PDCL Network with Residual-based Steganalysis Feature
Yanfen Gan, Jixiang Yang, Jun-Liu Zhong
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 4

A Copy-Move Image Forgery Detection Using Modified SURF Features and A-KAZE Detector
S. K. Narasimhamurthy, Vasantha Kumara Mahadevachar, Ram Kumar, et al.
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 4, pp. 12-24
Open Access | Times Cited: 4

Exposing video surveillance object forgery by combining TSF features and attention-based deep neural networks
Jun-Liu Zhong, Yanfen Gan, Jixiang Yang, et al.
Journal of Visual Communication and Image Representation (2024) Vol. 104, pp. 104267-104267
Closed Access | Times Cited: 1

Hybrid deep learning and machine learning approach for detecting spatial and temporal forgeries in videos
Upasana Singh, Sandeep Rathor, Manoj Kumar
Neural Computing and Applications (2024)
Closed Access | Times Cited: 1

Coarse-to-fine spatial-channel-boundary attention network for image copy-move forgery detection
Jun-Liu Zhong, Jixiang Yang, Yanfen Gan, et al.
Soft Computing (2022) Vol. 26, Iss. 21, pp. 11461-11478
Closed Access | Times Cited: 7

Video motion forgery detection using motion residual and object tracking
Hayde Oliaei, Masoumeh Azghani
Multimedia Tools and Applications (2023) Vol. 83, Iss. 5, pp. 12651-12668
Closed Access | Times Cited: 3

Research Perception Towards Copy-Move Image Forgery Detection: Challenges and Future Directions
Sai Pratheek Chalamalasetty, Srinivasa Rao Giduturi
International Journal of Image and Graphics (2021) Vol. 21, Iss. 04
Closed Access | Times Cited: 8

RDLNN-based Image Forgery Detection and Forged Region Detection Using MOT
Akram Hatem Saber, Mohd Ayyub Khan, Basim Galeb Mejbel
Karbala International Journal of Modern Science (2022) Vol. 8, Iss. 4, pp. 596-606
Open Access | Times Cited: 5

A fast forgery frame detection method for video copy-move inter/intra-frame identification
Jun-Liu Zhong, Yanfen Gan, Jixiang Yang
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 3, pp. 1647-1658
Closed Access | Times Cited: 6

IPHFMs: Fast and accurate Polar Harmonic Fourier Moments
Xiangyang Wang, Yuyang Zhang, Panpan Niu, et al.
Signal Processing (2023) Vol. 211, pp. 109103-109103
Closed Access | Times Cited: 2

Forged Video Detection Using Deep Learning: A SLR
Maryam Munawar, Iram Noreen, Raed Alharthi, et al.
Applied Computational Intelligence and Soft Computing (2023) Vol. 2023, pp. 1-21
Open Access | Times Cited: 2

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