Lirim Ashiku

419 total citations · 1 hit paper
11 papers, 229 citations indexed

About

Lirim Ashiku is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Lirim Ashiku has authored 11 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Lirim Ashiku's work include Organ Donation and Transplantation (3 papers), Network Security and Intrusion Detection (3 papers) and Information and Cyber Security (3 papers). Lirim Ashiku is often cited by papers focused on Organ Donation and Transplantation (3 papers), Network Security and Intrusion Detection (3 papers) and Information and Cyber Security (3 papers). Lirim Ashiku collaborates with scholars based in United States. Lirim Ashiku's co-authors include Ci̇han H. Dağli, Md. Al-Amin, Sanjay Madria, Casey Canfield, Daniel B. Shank, Krista L. Lentine, Henry B. Randall, David A. Axelrod, Mark A. Schnitzler and Rui Bo and has published in prestigious journals such as Procedia Manufacturing, Transplantation Proceedings and Current Transplantation Reports.

In The Last Decade

Lirim Ashiku

9 papers receiving 199 citations

Hit Papers

Network Intrusion Detection System using Deep Learning 2021 2026 2022 2024 2021 50 100 150
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. Network Intrusion Detection System using Deep Learning
    2021 173 citations Lirim Ashiku, Ci̇han H. Dağli Procedia Computer Science profile →

Peers

Lirim Ashiku
Qinwen Hu New Zealand
Salma Elhag Saudi Arabia
Mehmet Engin Tozal United States
Nour El Madhoun France
Ibtehal Nafea Saudi Arabia
Kavita Sharma India
Elizabeth Fong United States
Nirupam Gupta United States
Anatoliy Gorbenko United Kingdom
Jung Hyun Ryu South Korea
Qinwen Hu New Zealand
Lirim Ashiku
Citations per year, relative to Lirim Ashiku Lirim Ashiku (= 1×) peers Qinwen Hu

Countries citing papers authored by Lirim Ashiku

Since Specialization
Citations

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

Fields of papers citing papers by Lirim Ashiku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lirim Ashiku

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

All Works

11 of 11 papers shown
1.
2.
Ashiku, Lirim & Ci̇han H. Dağli. (2023). Identify Hard-to-Place Kidneys for Early Engagement in Accelerated Placement With a Deep Learning Optimization Approach. Transplantation Proceedings. 55(1). 38–48. 5 indexed citations
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Ashiku, Lirim, Casey Canfield, Daniel B. Shank, et al.. (2021). Reducing Kidney Discard With Artificial Intelligence Decision Support: the Need for a Transdisciplinary Systems Approach. Current Transplantation Reports. 8(4). 263–271. 7 indexed citations
7.
Ashiku, Lirim, Md. Al-Amin, Sanjay Madria, & Ci̇han H. Dağli. (2021). Machine Learning Models and Big Data Tools for Evaluating Kidney Acceptance. Procedia Computer Science. 185. 177–184. 9 indexed citations
8.
Ashiku, Lirim & Ci̇han H. Dağli. (2021). Network Intrusion Detection System using Deep Learning. Procedia Computer Science. 185. 239–247. 173 indexed citations breakdown →
9.
Ashiku, Lirim & Ci̇han H. Dağli. (2020). Agent Based Cybersecurity Model for Business Entity Risk Assessment. 1–6. 4 indexed citations
10.
Ashiku, Lirim & Ci̇han H. Dağli. (2019). Cybersecurity as a Centralized Directed System of Systems Using SoS Explorer as a Tool. 140–145. 15 indexed citations
11.
Ashiku, Lirim & Ci̇han H. Dağli. (2019). System of Systems (SoS) Architecture for Digital Manufacturing Cybersecurity. Procedia Manufacturing. 39. 132–140. 7 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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2026