Asad Masood Khattak

2.6k total citations
112 papers, 1.6k citations indexed

About

Asad Masood Khattak is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Asad Masood Khattak has authored 112 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 48 papers in Information Systems and 33 papers in Computer Networks and Communications. Recurrent topics in Asad Masood Khattak's work include Semantic Web and Ontologies (18 papers), Service-Oriented Architecture and Web Services (16 papers) and Sentiment Analysis and Opinion Mining (13 papers). Asad Masood Khattak is often cited by papers focused on Semantic Web and Ontologies (18 papers), Service-Oriented Architecture and Web Services (16 papers) and Sentiment Analysis and Opinion Mining (13 papers). Asad Masood Khattak collaborates with scholars based in United Arab Emirates, South Korea and Pakistan. Asad Masood Khattak's co-authors include Sungyoung Lee, Zeeshan Pervez, Muhammad Zubair Asghar, Rabia Batool, Wajahat Ali Khan, Omar Alfandi, Adil Khan, Khalid Latif, Babar Shah and Waleed Ejaz and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Asad Masood Khattak

106 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asad Masood Khattak United Arab Emirates 24 684 478 426 250 189 112 1.6k
Natalia Kryvinska Slovakia 24 509 0.7× 438 0.9× 394 0.9× 255 1.0× 189 1.0× 186 1.9k
Vicente García‐Díaz Spain 24 580 0.8× 488 1.0× 398 0.9× 257 1.0× 218 1.2× 120 2.0k
Feras Al‐Obeidat United Arab Emirates 20 526 0.8× 326 0.7× 275 0.6× 117 0.5× 100 0.5× 98 1.3k
Yong Ge United States 22 643 0.9× 541 1.1× 225 0.5× 304 1.2× 174 0.9× 63 1.6k
Mutasem K. Alsmadi Saudi Arabia 27 359 0.5× 455 1.0× 388 0.9× 306 1.2× 96 0.5× 109 1.9k
M. Poongodi Qatar 28 503 0.7× 668 1.4× 594 1.4× 213 0.9× 355 1.9× 49 2.1k
Sergio Ramírez‐Gallego Spain 16 933 1.4× 363 0.8× 224 0.5× 216 0.9× 103 0.5× 21 1.7k
Mabrook Al‐Rakhami Saudi Arabia 28 628 0.9× 555 1.2× 549 1.3× 247 1.0× 228 1.2× 75 2.2k
Gokul Yenduri India 12 514 0.8× 379 0.8× 442 1.0× 136 0.5× 116 0.6× 38 1.5k
A.C.M. Fong New Zealand 22 891 1.3× 640 1.3× 334 0.8× 214 0.9× 283 1.5× 164 2.0k

Countries citing papers authored by Asad Masood Khattak

Since Specialization
Citations

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

Fields of papers citing papers by Asad Masood Khattak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asad Masood Khattak. 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 Asad Masood Khattak. The network helps show where Asad Masood Khattak may publish in the future.

Co-authorship network of co-authors of Asad Masood Khattak

This figure shows the co-authorship network connecting the top 25 collaborators of Asad Masood Khattak. A scholar is included among the top collaborators of Asad Masood Khattak 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 Asad Masood Khattak. Asad Masood Khattak 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.
Khattak, Asad Masood, et al.. (2025). Evaluating machine learning models for predictive accuracy in cryptocurrency price forecasting. PeerJ Computer Science. 11. e2626–e2626. 1 indexed citations
2.
Khattak, Asad Masood, et al.. (2024). Global Knowledge, Local Impact: Domain Adaptation and Classification for Obesity in the UAE. Repository@Hull (Worktribe) (University of Hull). 21–26.
3.
Khattak, Asad Masood, et al.. (2024). Efficient Diagnoses of Breast Cancer Disease Using Deep Learning Technique. 136–143. 2 indexed citations
4.
Khattak, Asad Masood, et al.. (2024). A Comparative Review and Recommendations on Database Recovery Techniques. 50. 1–6. 1 indexed citations
5.
Khattak, Asad Masood, et al.. (2023). Boosting Adversarial Training Using Robust Selective Data Augmentation. International Journal of Computational Intelligence Systems. 16(1). 3 indexed citations
6.
Asghar, Muhammad Zubair, Asad Masood Khattak, Muhammad Mansoor Alam, et al.. (2022). An Efficient Classification of Emotions in Students’ Feedback using Deep Neural Network. 186–191. 1 indexed citations
7.
Khattak, Asad Masood, et al.. (2021). Estimation and Interpretation of Machine Learning Models with Customized Surrogate Model. Electronics. 10(23). 3045–3045. 7 indexed citations
8.
Ujjan, Raja Majid Ali, Zeeshan Pervez, Keshav Dahal, et al.. (2021). Entropy Based Features Distribution for Anti-DDoS Model in SDN. Sustainability. 13(3). 1522–1522. 36 indexed citations
9.
Ashraf, Shahzad, Omar Alfandi, Arshad Ahmad, et al.. (2020). Bodacious-Instance Coverage Mechanism for Wireless Sensor Network. Wireless Communications and Mobile Computing. 2020. 1–11. 41 indexed citations
10.
Khattak, Asad Masood, et al.. (2020). Fine-Grained Sentiment Analysis for Measuring Customer Satisfaction Using an Extended Set of Fuzzy Linguistic Hedges. International Journal of Computational Intelligence Systems. 13(1). 744–744. 17 indexed citations
11.
Yan, Shihao, et al.. (2020). On the Pilot Contamination Attack in Multi-Cell Multiuser Massive MIMO Networks. IEEE Transactions on Communications. 68(4). 2264–2276. 15 indexed citations
12.
Khattak, Asad Masood, et al.. (2020). A survey on sentiment analysis in Urdu: A resource-poor language. Egyptian Informatics Journal. 22(1). 53–74. 36 indexed citations
13.
Iqbal, Farkhund, Jahanzeb Maqbool Hashmi, Benjamin C. M. Fung, et al.. (2019). A Hybrid Framework for Sentiment Analysis Using Genetic Algorithm Based Feature Reduction. IEEE Access. 7. 14637–14652. 92 indexed citations
14.
Pervez, Zeeshan, et al.. (2018). Towards the transversal detection of DDoS network attacks in 5G multi-tenant overlay networks. Computers & Security. 79. 132–147. 25 indexed citations
15.
16.
Pervez, Zeeshan, et al.. (2016). Privacy-Aware Relevant Data Access with Semantically Enriched Search Queries for Untrusted Cloud Storage Services. PLoS ONE. 11(8). e0161440–e0161440. 4 indexed citations
17.
Khattak, Asad Masood, Rabia Batool, Zeeshan Pervez, Adil Khan, & Sungyoung Lee. (2013). Ontology Evolution and Challenges. Journal of information science and engineering. 29(5). 851–871. 19 indexed citations
18.
Khan, Wajahat Ali, Muhammad Bilal Amin, Asad Masood Khattak, Maqbool Hussain, & Sungyoung Lee. (2013). System for parallel heterogeneity resolution (SPHeRe) results for OAEI 2013. 184–189. 4 indexed citations
19.
Khattak, Asad Masood, et al.. (2010). Analyzing Association Rule Mining and Clustering on Sales Day Data with XLMiner and Weka. International Journal of Database Theory and Application. 3(1). 13–22. 7 indexed citations
20.
Pervez, Zeeshan, Asad Masood Khattak, Sungyoung Lee, & Young-Koo Lee. (2010). Dual Validation Framework for Multi-Tenant SaaS Architecture. 1–5. 3 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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