Darren Dancey

789 total citations
19 papers, 491 citations indexed

About

Darren Dancey is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Darren Dancey has authored 19 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Darren Dancey's work include Neural Networks and Applications (3 papers), Advanced Image Fusion Techniques (2 papers) and Advanced Memory and Neural Computing (2 papers). Darren Dancey is often cited by papers focused on Neural Networks and Applications (3 papers), Advanced Image Fusion Techniques (2 papers) and Advanced Memory and Neural Computing (2 papers). Darren Dancey collaborates with scholars based in United Kingdom, Pakistan and China. Darren Dancey's co-authors include Moi Hoon Yap, Amanda Oakley, Manu Goyal, Emma Derbyshire, Raheel Nawaz, Zuhair Bandar, David McLean, Liangxiu Han, Lianghao Han and Tongle Hu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Darren Dancey

17 papers receiving 462 citations

Peers

Darren Dancey

ONCOL

EPIDE

CVPR

GHP

Ning Situ United States

Jiewei Jiang China

Sumaira Kausar Pakistan

Francisco Luna-Perejón Spain

Maria João M. Vasconcelos Portugal

Agung W. Setiawan Indonesia

Javier Civit-Masot Spain

Pedro M. Ferreira Portugal

Baidaa Al‐Bander United Kingdom

Javed Rashid Pakistan

Ning Situ United States

Darren Dancey

171 ×0.9

ONCOL

131 ×0.7

88 ×0.9

EPIDE

48 ×0.6

CVPR

14 ×0.3

GHP

Citations per year, relative to Darren Dancey Darren Dancey (= 1×) peers Ning Situ

Countries citing papers authored by Darren Dancey

Since Specialization

Citations

This map shows the geographic impact of Darren Dancey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Darren Dancey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darren Dancey more than expected).

Fields of papers citing papers by Darren Dancey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darren Dancey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Darren Dancey. The network helps show where Darren Dancey may publish in the future.

Co-authorship network of co-authors of Darren Dancey

This figure shows the co-authorship network connecting the top 25 collaborators of Darren Dancey. A scholar is included among the top collaborators of Darren Dancey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Darren Dancey. Darren Dancey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Zhang, Xin, et al.. (2025). A novel energy-efficient spike transformer network for depth estimation from event cameras via cross-modality knowledge distillation. Neurocomputing. 658. 131745–131745.

Shi, Yue, Liangxiu Han, Lianghao Han, Darren Dancey, & Xueqin Zhang. (2025). WaveDiffUR: A Wavelet-Domain Diffusion Model for Ultraresolution in Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14.

Zhang, Xin, Liangxiu Han, Lianghao Han, et al.. (2023). sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer’s Disease Diagnosis With Structural MRI. IEEE Access. 11. 108603–108616. 10 indexed citations

Shi, Yue, Liangxiu Han, Pablo González‐Moreno, et al.. (2023). A fast Fourier convolutional deep neural network for accurate and explainable discrimination of wheat yellow rust and nitrogen deficiency from Sentinel-2 time series data. Frontiers in Plant Science. 14. 1250844–1250844. 6 indexed citations

Han, Liangxiu, et al.. (2023). Layer-wise partitioning and merging for efficient and scalable deep learning. Future Generation Computer Systems. 149. 432–444. 3 indexed citations

Khan, Muhammad Usman Shahid, et al.. (2022). SCNN-Attack: A Side-Channel Attack to Identify YouTube Videos in a VPN and Non-VPN Network Traffic. Electronics. 11(3). 350–350. 9 indexed citations

Shi, Yue, Liangxiu Han, Lianghao Han, et al.. (2022). A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–19. 41 indexed citations

Saleem, Jawad, Muhammad Amin, Sahibzada Muhammad Ali, et al.. (2021). Investigation of 9000 hours multi-stress aging effects on High-Temperature Vulcanized Silicone Rubber with silica (nano/micro) filler hybrid composite insulator. PLoS ONE. 16(7). e0253372–e0253372. 6 indexed citations

Khan, Muhammad Usman Shahid, et al.. (2021). Malware Detection and Classification along with Trade-off Analysis for Number of Features, Feature Types, and Speed. SPIRE - Sciences Po Institutional REpository. 246–251. 1 indexed citations

10.

Khan, Imran Ali, et al.. (2020). CPU and RAM Energy-Based SLA-Aware Workload Consolidation Techniques for Clouds. IEEE Access. 8. 62990–63003. 14 indexed citations

11.

Shi, Yifang, et al.. (2020). A Modified Bayesian Framework for Multi-Sensor Target Tracking with Out-of-Sequence-Measurements. Sensors. 20(14). 3821–3821. 6 indexed citations

12.

Ayaz, Yasar, Muhammad Jawad Khan, Sara Ali, et al.. (2020). Proximal Actuation of an Elastically Loaded Scissors Mechanism for the Leg Design of a Quadruped Robot. IEEE Access. 8. 208240–208252. 10 indexed citations

13.

Fry, John, et al.. (2019). Understanding Face Age Estimation: humans and machine. 1–5. 4 indexed citations

14.

Goyal, Manu, et al.. (2019). Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods. IEEE Access. 8. 4171–4181. 219 indexed citations

15.

Ali, Sara, Faisal Mehmood, Darren Dancey, et al.. (2019). An Adaptive Multi-Robot Therapy for Improving Joint Attention and Imitation of ASD Children. IEEE Access. 7. 81808–81825. 50 indexed citations

16.

Derbyshire, Emma & Darren Dancey. (2013). Smartphone Medical Applications for Women’s Health: What Is the Evidence-Base and Feedback?. International Journal of Telemedicine and Applications. 2013. 1–10. 81 indexed citations

17.

Dancey, Darren, Zuhair Bandar, & David McLean. (2010). Rule extraction from neural networks for medical domains. 1–8. 4 indexed citations

18.

Dancey, Darren, Zuhair Bandar, & David McLean. (2007). Logistic Model Tree Extraction From Artificial Neural Networks. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 37(4). 794–802. 23 indexed citations

19.

Dancey, Darren, David McLean, & Zuhair Bandar. (2004). Decision tree extraction from trained neural networks. The Florida AI Research Society. 515–519. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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