Khaled Shaalan

13.4k total citations · 4 hit papers
232 papers, 6.7k citations indexed

About

Khaled Shaalan is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Khaled Shaalan has authored 232 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Artificial Intelligence, 46 papers in Information Systems and 27 papers in Information Systems and Management. Recurrent topics in Khaled Shaalan's work include Natural Language Processing Techniques (61 papers), Topic Modeling (59 papers) and Technology Adoption and User Behaviour (26 papers). Khaled Shaalan is often cited by papers focused on Natural Language Processing Techniques (61 papers), Topic Modeling (59 papers) and Technology Adoption and User Behaviour (26 papers). Khaled Shaalan collaborates with scholars based in United Arab Emirates, Egypt and United Kingdom. Khaled Shaalan's co-authors include Mostafa Al‐Emran, Said A. Salloum, Azza Abdel Monem, Ali Farghaly, Ali Bou Nassif, Mohammad Azzeh, Ismail Shahin, Chia‐Hui Chang, Moheb R. Girgis and Mohammed Kayed and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Khaled Shaalan

211 papers receiving 6.2k citations

Hit Papers

Speech Recognition Using ... 2006 2026 2012 2019 2019 2006 2019 2015 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Khaled Shaalan 3.3k 1.9k 926 789 689 232 6.7k
Lina Zhou 2.1k 0.6× 2.0k 1.1× 1.2k 1.3× 2.4k 3.0× 991 1.4× 197 7.9k
Gary Marchionini 1.9k 0.6× 3.7k 1.9× 1.2k 1.2× 1.0k 1.3× 490 0.7× 194 7.2k
Keng Siau 1.7k 0.5× 2.1k 1.1× 1.9k 2.1× 1.9k 2.4× 470 0.7× 240 8.2k
Peter Pirolli 2.5k 0.7× 3.2k 1.6× 934 1.0× 1.8k 2.3× 511 0.7× 137 9.6k
Miltiadis D. Lytras 1.2k 0.4× 1.4k 0.7× 784 0.8× 991 1.3× 837 1.2× 259 6.8k
Pearl Brereton 1.5k 0.4× 3.4k 1.8× 715 0.8× 608 0.8× 240 0.3× 107 6.4k
Nigel Shadbolt 2.6k 0.8× 1.9k 1.0× 500 0.5× 989 1.3× 126 0.2× 270 5.6k
David Budgen 2.3k 0.7× 5.4k 2.8× 909 1.0× 933 1.2× 439 0.6× 130 10.7k
Mohammed Amin Almaiah 1.4k 0.4× 1.4k 0.7× 1.8k 1.9× 942 1.2× 885 1.3× 116 5.1k
Wu He 1.6k 0.5× 2.5k 1.3× 796 0.9× 2.0k 2.6× 335 0.5× 144 9.1k

Countries citing papers authored by Khaled Shaalan

Since Specialization
Citations

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

Fields of papers citing papers by Khaled Shaalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khaled Shaalan

This figure shows the co-authorship network connecting the top 25 collaborators of Khaled Shaalan. A scholar is included among the top collaborators of Khaled Shaalan 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 Khaled Shaalan. Khaled Shaalan 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.
Shaalan, Khaled, et al.. (2024). Advancing Author Gender Identification in Modern Standard Arabic with Innovative Deep Learning and Textual Feature Techniques. Information. 15(12). 779–779. 1 indexed citations
2.
Abdallah, Sherief, et al.. (2024). Deep Learning Techniques for Identifying Poets in Arabic Poetry: A Focus on LSTM and Bi-LSTM. Procedia Computer Science. 244. 461–470. 2 indexed citations
3.
Yerima, Suleiman Y., et al.. (2024). Advancements of SMS Spam Detection: A Comprehensive Survey of NLP and ML Techniques. Procedia Computer Science. 244. 248–259. 7 indexed citations
4.
Salloum, Said A., et al.. (2024). Integrating ChatGPT into Medical Education: A Combined SEM-ML Approach. 1–5. 5 indexed citations
5.
Shaalan, Khaled, et al.. (2023). Machine Learning Chatbot for Sentiment Analysis of Covid-19 Tweets. 41–55. 1 indexed citations
6.
Shaalan, Khaled, et al.. (2023). Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks. Algorithms. 16(12). 549–549. 4 indexed citations
7.
Qahtan, Sarah, R. T. Mohammed, A. A. Zaidan, et al.. (2022). Novel Federated Decision Making for Distribution of Anti-SARS-CoV-2 Monoclonal Antibody to Eligible High-Risk Patients. International Journal of Information Technology & Decision Making. 23(1). 197–268. 29 indexed citations
8.
AlQudah, Adi Ahmad, Mostafa Al‐Emran, & Khaled Shaalan. (2021). Medical data integration using HL7 standards for patient’s early identification. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Salloum, Said A., et al.. (2021). Text and Web Content Mining: A Systematic Review. Lecture notes in networks and systems. 79–87. 1 indexed citations
10.
Salloum, Said A., Muhammad Turki Alshurideh, Ashraf Elnagar, & Khaled Shaalan. (2020). Machine Learning and Deep Learning Techniques for Cybersecurity: A Review. Advances in intelligent systems and computing. 50–57. 67 indexed citations
11.
Salloum, Said A., et al.. (2020). The Impact of Artificial Intelligence and Information Technologies on the Efficiency of Knowledge Management at Modern Organizations: A Systematic Review. Studies in systems, decision and control. 163–182. 36 indexed citations
12.
Alkhatib, Manar & Khaled Shaalan. (2020). Boosting Arabic Named Entity Recognition Transliteration with Deep Learning.. The Florida AI Research Society. 484–488. 4 indexed citations
13.
Shaalan, Khaled, et al.. (2019). A Survey on Using Blockchain in Trade Supply Chain Solutions. IEEE Access. 7. 184115–184132. 80 indexed citations
14.
Ray, Santosh Kumar, et al.. (2015). Semantic Based Query Expansion for Arabic Question Answering Systems. 127–132. 12 indexed citations
15.
Ray, Santosh Kumar, et al.. (2015). Question classification for Arabic Question Answering Systems. 310–313. 15 indexed citations
16.
Oudah, Mai & Khaled Shaalan. (2012). A Pipeline Arabic Named Entity Recognition using a Hybrid Approach. International Conference on Computational Linguistics. 2159–2176. 38 indexed citations
17.
Shaalan, Khaled, et al.. (2011). Adaptive Feedback Message Generation for Second Language Learners of Arabic. Recent Advances in Natural Language Processing. 752–757. 1 indexed citations
18.
Shaalan, Khaled, et al.. (2010). An English-Arabic Bi-directional Machine Translation Tool in the Agriculture Domain - A Rule-Based Transfer Approach for Translating Expert Systems.. 281–290. 3 indexed citations
19.
Shaalan, Khaled, et al.. (2007). Transferring Egyptian Colloquial Dialect into Modern Standard Arabic. Recent Advances in Natural Language Processing. 13 indexed citations
20.
Shaalan, Khaled. (2005). Arabic GramCheck: a grammar checker for Arabic: Research Articles. Software Practice and Experience. 35(7). 643–665. 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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