Sidike Paheding

2.7k total citations · 1 hit paper
36 papers, 1.6k citations indexed

About

Sidike Paheding is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Sidike Paheding has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in Sidike Paheding's work include Advanced Neural Network Applications (7 papers), Remote-Sensing Image Classification (7 papers) and Image Enhancement Techniques (6 papers). Sidike Paheding is often cited by papers focused on Advanced Neural Network Applications (7 papers), Remote-Sensing Image Classification (7 papers) and Image Enhancement Techniques (6 papers). Sidike Paheding collaborates with scholars based in United States, India and Australia. Sidike Paheding's co-authors include Vijay Devabhaktuni, Nahian Siddique, Colin Elkin, Quamar Niyaz, Samantha Smith, Ebrahim Babaeian, Markus Tuller, V. Devabhaktuni, Ashraf Saleem and Shengli Jiang and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Sidike Paheding

28 papers receiving 1.5k citations

Hit Papers

U-Net and Its Variants for Medical Image Segmentation: A ... 2021 2026 2022 2024 2021 250 500 750 1000
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.

  1. U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications
    2021 1.1k citations Nahian Siddique, Sidike Paheding et al. IEEE Access profile →

Peers

Sidike Paheding
Nahian Siddique United States
Simon Jégou France
Colin Elkin United States
Guangmin Sun China
Huimin Huang China
Zichen Zhang China
Song Wu China
Qiaowei Zhang China
Meng-Hao Guo China
Sanjay N. Talbar India
Nahian Siddique United States
Sidike Paheding
Citations per year, relative to Sidike Paheding Sidike Paheding (= 1×) peers Nahian Siddique

Countries citing papers authored by Sidike Paheding

Since Specialization
Citations

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

Fields of papers citing papers by Sidike Paheding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sidike Paheding

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

All Works

20 of 20 papers shown
1.
Saleem, Ashraf, et al.. (2025). Understanding the Influence of Image Enhancement on Underwater Object Detection: A Quantitative and Qualitative Study. Remote Sensing. 17(2). 185–185. 2 indexed citations
2.
3.
Thomas, Jobin, et al.. (2024). Predicting USCS soil texture classes utilizing soil spectra and deep learning. Journal of Soils and Sediments. 24(11). 3594–3609. 2 indexed citations
4.
Awad, Ali Ismail, et al.. (2024). Underwater simultaneous enhancement and super-resolution impact evaluation on object detection. Digital Commons - Michigan Tech (Michigan Technological University). 13–13. 1 indexed citations
5.
Paheding, Sidike, et al.. (2024). Cross-View Geo-Localization: A Survey. IEEE Access. 12. 192028–192050. 4 indexed citations
6.
Paheding, Sidike, et al.. (2024). Advancing horizons in remote sensing: a comprehensive survey of deep learning models and applications in image classification and beyond. Neural Computing and Applications. 36(27). 16727–16767. 12 indexed citations
7.
Paheding, Sidike, et al.. (2024). Forward-Forward Algorithm for Hyperspectral Image Classification. Digital Commons - Michigan Tech (Michigan Technological University). 3153–3161. 1 indexed citations
8.
Reinhardt, S.K., et al.. (2024). Gesture Controlled Collaborative Robot Arm and Lab Kit. 1 indexed citations
9.
Tian, Yuchen, et al.. (2024). Exploring action recognition in endoscopy video datasets. 14–14.
10.
Saleem, Ashraf, et al.. (2023). A Non-Reference Evaluation of Underwater Image Enhancement Methods Using a New Underwater Image Dataset. IEEE Access. 11. 10412–10428. 15 indexed citations
11.
Siddique, Nahian, et al.. (2022). Fractal, recurrent, and dense U-Net architectures with EfficientNet encoder for medical image segmentation. Journal of Medical Imaging. 9(6). 64004–64004. 7 indexed citations
12.
Paheding, Sidike, et al.. (2022). Deep-Learning-Incorporated Augmented Reality Application for Engineering Lab Training. Applied Sciences. 12(10). 5159–5159. 20 indexed citations
13.
Shamaileh, Khair Al, et al.. (2022). Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine Learning. IEEE Access. 10. 16859–16870. 35 indexed citations
14.
Siddique, Nahian, Sidike Paheding, Md Zahangir Alom, & V. Devabhaktuni. (2021). Recurrent residual U-Net with EfficientNet encoder for medical image segmentation. Digital Commons - Michigan Tech (Michigan Technological University). 19–19. 10 indexed citations
15.
Sagan, Vasit, Maitiniyazi Maimaitijiang, Sidike Paheding, et al.. (2021). Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–20. 31 indexed citations
16.
Paheding, Sidike, et al.. (2021). Trends in Deep Learning for Medical Hyperspectral Image Analysis. IEEE Access. 9. 79534–79548. 55 indexed citations
17.
Siddique, Nahian, Sidike Paheding, Colin Elkin, & Vijay Devabhaktuni. (2021). U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications. IEEE Access. 9. 82031–82057. 1077 indexed citations breakdown →
18.
19.
Paheding, Sidike. (2016). Progressively Expanded Neural Network for Automatic Material Identification in Hyperspectral Imagery. OhioLink ETD Center (Ohio Library and Information Network).
20.
Paheding, Sidike. (2015). Rotation, Scaling and Illumination Invariant Pattern Recognition Using Joint Transform Correlation for Object Detection and Tracking.

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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