Adnan Khashman

2.5k total citations · 1 hit paper
71 papers, 1.6k citations indexed

About

Adnan Khashman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Adnan Khashman has authored 71 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Adnan Khashman's work include Neural Networks and Applications (10 papers), Digital Imaging for Blood Diseases (8 papers) and Handwritten Text Recognition Techniques (8 papers). Adnan Khashman is often cited by papers focused on Neural Networks and Applications (10 papers), Digital Imaging for Blood Diseases (8 papers) and Handwritten Text Recognition Techniques (8 papers). Adnan Khashman collaborates with scholars based in Cyprus, Türkiye and United Kingdom. Adnan Khashman's co-authors include Oyebade K. Oyedotun, Ebenezer O. Olaniyi, Kamil Dimililer, Boran Şekeroğlu, Nnamdi Nwulu, A. A. Adekunle, K.M. Curtis, Abdulkader Helwan, Arshad Muhammad and Ammar Zakaria and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

Adnan Khashman

67 papers receiving 1.4k citations

Hit Papers

Deep learning in vision-b... 2016 2026 2019 2022 2016 50 100 150 200 250
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. Deep learning in vision-based static hand gesture recognition
    2016 266 citations Oyebade K. Oyedotun, Adnan Khashman profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adnan Khashman Cyprus 21 527 496 232 213 136 71 1.6k
Saroj Kr. Biswas India 19 756 1.4× 267 0.5× 54 0.2× 85 0.4× 164 1.2× 108 1.6k
Sarah Jane Delany Ireland 16 931 1.8× 176 0.4× 56 0.2× 39 0.2× 69 0.5× 59 1.7k
Dae-Ki Kang South Korea 14 569 1.1× 137 0.3× 249 1.1× 33 0.2× 28 0.2× 91 1.1k
Chieh-Jen Wang Taiwan 6 923 1.8× 261 0.5× 422 1.8× 10 0.0× 69 0.5× 19 1.7k
Satchidananda Dehuri India 23 912 1.7× 274 0.6× 46 0.2× 14 0.1× 53 0.4× 159 1.9k
Anca Ralescu United States 19 729 1.4× 384 0.8× 41 0.2× 40 0.2× 43 0.3× 157 1.7k
Basilio Sierra Spain 25 703 1.3× 475 1.0× 12 0.1× 131 0.6× 43 0.3× 138 2.3k
Fatma M. Talaat Egypt 23 386 0.7× 433 0.9× 33 0.1× 31 0.1× 69 0.5× 62 1.8k
Manjeevan Seera Malaysia 21 889 1.7× 237 0.5× 163 0.7× 8 0.0× 165 1.2× 58 1.7k
Hedieh Sajedi Iran 20 528 1.0× 721 1.5× 76 0.3× 11 0.1× 49 0.4× 141 1.7k

Countries citing papers authored by Adnan Khashman

Since Specialization
Citations

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

Fields of papers citing papers by Adnan Khashman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adnan Khashman

This figure shows the co-authorship network connecting the top 25 collaborators of Adnan Khashman. A scholar is included among the top collaborators of Adnan Khashman 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 Adnan Khashman. Adnan Khashman 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.
2.
Olaniyi, Ebenezer O., et al.. (2019). In-line grading system for mango fruits using GLCM feature extraction and soft-computing techniques. 6(1). 58–58. 3 indexed citations
3.
Olaniyi, Ebenezer O., et al.. (2017). Automatic system for grading banana using GLCM texture feature extraction and neural network arbitrations. Journal of Food Process Engineering. 40(6). 39 indexed citations
4.
Khashman, Adnan, et al.. (2017). Non-Destructive Prediction of Concrete Compressive Strength Using Neural Networks. Procedia Computer Science. 108. 2358–2362. 79 indexed citations
5.
Oyedotun, Oyebade K. & Adnan Khashman. (2016). Banknote recognition: investigating processing and cognition framework using competitive neural network. Cognitive Neurodynamics. 11(1). 67–79. 6 indexed citations
6.
Oyedotun, Oyebade K., et al.. (2015). Data Mining of Students' Performance Using Artificial Neural Network: Turkish Students as a Case Study. World Academy of Science, Engineering and Technology, International Journal of Computer and Information Engineering. 2(4). 1 indexed citations
7.
Oyedotun, Oyebade K., Ebenezer O. Olaniyi, & Adnan Khashman. (2015). Deep Learning in Character Recognition Considering Pattern Invariance Constraints. International Journal of Intelligent Systems and Applications. 7(7). 1–10. 11 indexed citations
8.
Khashman, Adnan & Nnamdi Nwulu. (2011). Intelligent prediction of crude oil price using Support Vector Machines. 165–169. 34 indexed citations
9.
Khashman, Adnan, et al.. (2010). Image segmentation of blood cells in leukemia patients. 104–109. 18 indexed citations
10.
Khashman, Adnan, et al.. (2010). The diagnosis of bankruptcy risk using score function. 83–87. 7 indexed citations
11.
Khashman, Adnan. (2010). Modeling cognitive and emotional processes: A novel neural network architecture. Neural Networks. 23(10). 1155–1163. 35 indexed citations
12.
Khashman, Adnan. (2009). Blood Cell Identification Using Emotional Neural Networks. Journal of information science and engineering. 25(6). 1737–1751. 32 indexed citations
13.
Khashman, Adnan & Kamil Dimililer. (2008). Image compression using neural networks and haar wavelet. 4(5). 330–339. 42 indexed citations
14.
Khashman, Adnan. (2008). A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients. IEEE Transactions on Neural Networks. 19(11). 1896–1909. 81 indexed citations
15.
Khashman, Adnan. (2008). BLOOD CELL IDENTIFICATION USING A SIMPLE NEURAL NETWORK. International Journal of Neural Systems. 18(5). 453–458. 20 indexed citations
16.
Khashman, Adnan & Kamil Dimililer. (2007). Neural Networks Arbitration for Optimum DCT Image Compression. 151–156. 18 indexed citations
17.
Khashman, Adnan, Boran Şekeroğlu, & Kamil Dimililer. (2006). Coin identification using neural networks. International Conference on Signal Processing. 88–92. 9 indexed citations
18.
Khashman, Adnan, Boran Şekeroğlu, & Kamil Dimililer. (2005). Deformed banknote identification using pattern averaging and neural networks. Computational intelligence. 47(3). 233–237. 2 indexed citations
19.
Khashman, Adnan. (2003). Automatic edge detection of DNA bands in autoradiograph images. 3. 1184–1188.
20.
Khashman, Adnan & K.M. Curtis. (2003). AEDS: a novel technique for detecting DNA bands in autoradiograph images. 2. 859–862.

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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