Abbas Cheddad

3.2k total citations · 1 hit paper
66 papers, 2.2k citations indexed

About

Abbas Cheddad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Abbas Cheddad has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Abbas Cheddad's work include Digital Media Forensic Detection (16 papers), Advanced Steganography and Watermarking Techniques (15 papers) and Chaos-based Image/Signal Encryption (12 papers). Abbas Cheddad is often cited by papers focused on Digital Media Forensic Detection (16 papers), Advanced Steganography and Watermarking Techniques (15 papers) and Chaos-based Image/Signal Encryption (12 papers). Abbas Cheddad collaborates with scholars based in Sweden, United Kingdom and United States. Abbas Cheddad's co-authors include Kevin Curran, Joan Condell, Paul Mc Kevitt, Paul McKevitt, Ulf Ahlgren, Keith Humphreys, Per Hall, Kamila Czene, Andreas Hörnblad and Toufik Bouden and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Abbas Cheddad

60 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Digital image steganography: Survey and analysis of current methods

2009 1.2k citations Abbas Cheddad, Paul Mc Kevitt et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Abbas Cheddad Sweden	17	1.6k	291	114	103	101	66	2.2k
Yiqun Hu China	23	938 0.6×	199 0.7×	99 0.9×	127 1.2×	57 0.6×	110	1.8k
Xin Zheng China	17	544 0.3×	343 1.2×	104 0.9×	73 0.7×	291 2.9×	70	1.3k
Martin Heusel Austria	6	1.7k 1.1×	585 2.0×	139 1.2×	137 1.3×	94 0.9×	6	2.5k
Roberto Hirata Brazil	20	512 0.3×	214 0.7×	162 1.4×	65 0.6×	29 0.3×	87	1.1k
Xinyu Liu China	17	556 0.3×	547 1.9×	78 0.7×	39 0.4×	121 1.2×	112	1.3k
Shilin Wang China	22	915 0.6×	318 1.1×	157 1.4×	348 3.4×	24 0.2×	114	1.7k
Xialei Liu China	20	1.2k 0.8×	1.2k 4.2×	241 2.1×	67 0.7×	159 1.6×	56	2.2k
Yujun Shen China	22	1.7k 1.0×	462 1.6×	114 1.0×	128 1.2×	90 0.9×	86	2.4k
Jonas Mueller United States	11	452 0.3×	687 2.4×	95 0.8×	67 0.7×	154 1.5×	21	1.7k

Countries citing papers authored by Abbas Cheddad

Since Specialization

Citations

This map shows the geographic impact of Abbas Cheddad'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 Abbas Cheddad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abbas Cheddad more than expected).

Fields of papers citing papers by Abbas Cheddad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abbas Cheddad. 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 Abbas Cheddad. The network helps show where Abbas Cheddad may publish in the future.

Co-authorship network of co-authors of Abbas Cheddad

This figure shows the co-authorship network connecting the top 25 collaborators of Abbas Cheddad. A scholar is included among the top collaborators of Abbas Cheddad 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 Abbas Cheddad. Abbas Cheddad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Djeddi, Chawki, et al.. (2025). Deep multi-view feature fusion with data augmentation for improved diabetic retinopathy classification. Journal of Intelligent Systems. 34(1). 1 indexed citations

Cheddad, Abbas, et al.. (2025). From bearings to substations: Transfer Learning for fault detection in district heating. Energy. 335. 138016–138016.

Cheddad, Abbas, et al.. (2025). From data scarcity to diagnostic precision: A novel data augmentation and fault diagnosis framework for district heating substations. Engineering Applications of Artificial Intelligence. 151. 110662–110662. 2 indexed citations

Ammar, Sourour, et al.. (2025). ST-KeyS: Self-supervised Transformer for Keyword Spotting in historical handwritten documents. Pattern Recognition. 170. 112036–112036.

Cheddad, Abbas, et al.. (2025). HEAT: Hierarchical-constrained Encoder-Assisted Time series clustering for fault detection in district heating substations. Energy and AI. 21. 100548–100548.

Goswami, Prashant, et al.. (2023). Interactive landscape–scale cloud animation using DCGAN. Frontiers in Computer Science. 5. 6 indexed citations

Nord, Christoffer, et al.. (2022). Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes. Scientific Data. 9(1). 558–558. 2 indexed citations

Kevitt, Paul Mc, et al.. (2022). Explainable Multimedia Feature Fusion for Medical Applications. Journal of Imaging. 8(4). 104–104. 4 indexed citations

Chaddad, Ahmad, Michael Jonathan Kucharczyk, Abbas Cheddad, et al.. (2021). Magnetic Resonance Imaging Based Radiomic Models of Prostate Cancer: A Narrative Review. Cancers. 13(3). 552–552. 26 indexed citations

10.

Cheddad, Abbas, et al.. (2021). Digital Image Processing and Development of Machine Learning Models for the Discrimination of Corneal Pathology: An Experimental Model. Photonics. 8(4). 118–118. 4 indexed citations

11.

Cheddad, Abbas, Hüseyin Kusetoğulları, Lena Sundin, et al.. (2021). SHIBR—The Swedish Historical Birth Records: a semi-annotated dataset. Neural Computing and Applications. 33(22). 15863–15875. 9 indexed citations

12.

Cheddad, Abbas, et al.. (2021). Comparative Study of Layout Analysis of Tabulated Historical Documents. Big Data Research. 24. 100195–100195. 5 indexed citations

13.

Cheddad, Abbas. (2020). On Box-Cox Transformation for Image Normality and Pattern Classification. IEEE Access. 8. 154975–154983. 12 indexed citations

14.

Yavariabdi, Amir, et al.. (2019). ARDIS: a Swedish historical handwritten digit dataset. Neural Computing and Applications. 32(21). 16505–16518. 40 indexed citations

15.

Bouden, Toufik, et al.. (2018). A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery. Geocarto International. 34(14). 1531–1551. 63 indexed citations

16.

Cheddad, Abbas. (2016). Structure preserving binary image morphing using Delaunay triangulation. Pattern Recognition Letters. 85. 8–14. 5 indexed citations

17.

Cheddad, Abbas, Kamila Czene, Per Hall, & Keith Humphreys. (2015). Pectoral Muscle Attenuation as a Marker for Breast Cancer Risk in Full-Field Digital Mammography. Cancer Epidemiology Biomarkers & Prevention. 24(6). 985–991. 5 indexed citations

18.

Cheddad, Abbas, Kamila Czene, Mikael Eriksson, et al.. (2014). Area and Volumetric Density Estimation in Processed Full-Field Digital Mammograms for Risk Assessment of Breast Cancer. PLoS ONE. 9(10). e110690–e110690. 19 indexed citations

19.

Cheddad, Abbas, Christoffer Nord, Andreas Hörnblad, et al.. (2013). Improving signal detection in emission optical projection tomography via single source multi-exposure image fusion. Optics Express. 21(14). 16584–16584. 3 indexed citations

20.

Hörnblad, Andreas, Abbas Cheddad, & Ulf Ahlgren. (2011). An improved protocol for optical projection tomography imaging reveals lobular heterogeneities in pancreatic islet and β-cell mass distribution. Islets. 3(4). 204–208. 42 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.

Explore authors with similar magnitude of impact