Shaheen Khatoon

460 total citations
31 papers, 257 citations indexed

About

Shaheen Khatoon is a scholar working on Artificial Intelligence, Communication and Information Systems. According to data from OpenAlex, Shaheen Khatoon has authored 31 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 7 papers in Communication and 7 papers in Information Systems. Recurrent topics in Shaheen Khatoon's work include Sentiment Analysis and Opinion Mining (9 papers), Public Relations and Crisis Communication (6 papers) and Advanced Text Analysis Techniques (5 papers). Shaheen Khatoon is often cited by papers focused on Sentiment Analysis and Opinion Mining (9 papers), Public Relations and Crisis Communication (6 papers) and Advanced Text Analysis Techniques (5 papers). Shaheen Khatoon collaborates with scholars based in Saudi Arabia, Pakistan and China. Shaheen Khatoon's co-authors include Azhar Mahmood, Ke Shi, Mi Xiao, Majed Alshamari, Guohui Li, Sherif Abdou, Mohsen Rashwan, Jawaid Iqbal, Yun‐Kiam Yap and Syed Sajid Ullah and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Shaheen Khatoon

29 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaheen Khatoon Saudi Arabia 9 79 75 58 29 27 31 257
R. Parvathi India 10 104 1.3× 38 0.5× 55 0.9× 26 0.9× 10 0.4× 48 276
Anette Alén‐Savikko Finland 5 61 0.8× 108 1.4× 45 0.8× 17 0.6× 11 0.4× 13 274
Päivi Korpisaari Finland 6 73 0.9× 109 1.5× 46 0.8× 17 0.6× 8 0.3× 12 260
Md. Anwar Hussen Wadud Bangladesh 13 192 2.4× 46 0.6× 113 1.9× 51 1.8× 7 0.3× 33 379
Matteo Francia Italy 9 75 0.9× 56 0.7× 33 0.6× 17 0.6× 3 0.1× 32 217
Luong Vuong Nguyen Vietnam 9 64 0.8× 32 0.4× 109 1.9× 59 2.0× 9 0.3× 33 264
Hao Ge China 8 96 1.2× 34 0.5× 60 1.0× 20 0.7× 12 0.4× 52 242
Mark Liptrott United Kingdom 6 135 1.7× 49 0.7× 83 1.4× 41 1.4× 10 0.4× 14 276
Elham Kariri Saudi Arabia 9 78 1.0× 55 0.7× 36 0.6× 21 0.7× 2 0.1× 29 209
Henric Johnson Sweden 11 88 1.1× 123 1.6× 86 1.5× 19 0.7× 15 0.6× 37 273

Countries citing papers authored by Shaheen Khatoon

Since Specialization
Citations

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

Fields of papers citing papers by Shaheen Khatoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaheen Khatoon

This figure shows the co-authorship network connecting the top 25 collaborators of Shaheen Khatoon. A scholar is included among the top collaborators of Shaheen Khatoon 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 Shaheen Khatoon. Shaheen Khatoon 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.
Talpur, Noureen, et al.. (2025). Boosting classification accuracy using an efficient stochastic optimization technique for feature selection in high-dimensional data. Swarm and Evolutionary Computation. 97. 102025–102025. 1 indexed citations
2.
Sharma, Pradakshina, Shaheen Khatoon, Nitesh Malhotra, et al.. (2025). Nanopores for DNA and biomolecule analysis: Diagnostic, genomic insights, applications in energy conversion and catalysis. Analytical Biochemistry. 701. 115791–115791. 1 indexed citations
3.
Mahmood, Azhar, et al.. (2024). Application domains of aspect and sentiment classification techniques: A survey. Neurocomputing. 622. 129237–129237.
4.
5.
Abdou, Sherif, et al.. (2024). Enhanced Arabic disaster data classification using domain adaptation. PLoS ONE. 19(4). e0301255–e0301255. 2 indexed citations
6.
Khatoon, Shaheen, et al.. (2022). Multi-Aspect Oriented Sentiment Classification: Prior Knowledge Topic Modelling and Ensemble Learning Classifier Approach. Applied Sciences. 12(8). 4066–4066. 6 indexed citations
7.
Ali, Zulfiqar, Azhar Mahmood, Shaheen Khatoon, et al.. (2022). A Generic Internet of Things (IoT) Middleware for Smart City Applications. Sustainability. 15(1). 743–743. 28 indexed citations
8.
Mahmood, Azhar, et al.. (2022). Multisource Data Integration and Comparative Analysis of Machine Learning Models for On-Street Parking Prediction. Sustainability. 14(12). 7317–7317. 12 indexed citations
9.
Khatoon, Shaheen, et al.. (2021). Development of Social Media Analytics System for Emergency Event Detection and Crisis Management. Computers, materials & continua/Computers, materials & continua (Print). 68(3). 3079–3100. 14 indexed citations
10.
Elsayed, Khaled, et al.. (2021). Location Analysis for Arabic COVID-19 Twitter Data Using Enhanced Dialect Identification Models. Applied Sciences. 11(23). 11328–11328. 7 indexed citations
11.
Khatoon, Shaheen, et al.. (2021). Image-based Automatic Diagnostic System for Tomato Plants using Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 67(1). 595–612. 18 indexed citations
12.
Khatoon, Shaheen, et al.. (2021). Improving Sentiment Prediction using Heterogeneous and Homogeneous Ensemble Methods: A Comparative Study. Procedia Computer Science. 194. 60–68. 4 indexed citations
13.
Khatoon, Shaheen. (2016). A conceptual framework for effective organizational adoption of social technologies. International Journal of ADVANCED AND APPLIED SCIENCES. 3(9). 78–89. 1 indexed citations
14.
Mahmood, Azhar, et al.. (2016). A scenario-based distributed testing model for software applications. International Journal of ADVANCED AND APPLIED SCIENCES. 3(10). 64–71. 3 indexed citations
15.
Mahmood, Azhar, et al.. (2016). Evaluation of Wellness Detection Techniques using Complex Activities Association for Smart Home Ambient. International Journal of Advanced Computer Science and Applications. 7(8). 3 indexed citations
16.
Khatoon, Shaheen, et al.. (2016). Factors Influencing Patients’ Attitudes to Exchange Electronic Health Information in Saudi Arabia: An Exploratory Study. International Journal of Advanced Computer Science and Applications. 7(8). 4 indexed citations
17.
Mahmood, Azhar, Ke Shi, Shaheen Khatoon, & Mi Xiao. (2013). Data Mining Techniques for Wireless Sensor Networks: A Survey. International Journal of Distributed Sensor Networks. 9(7). 406316–406316. 54 indexed citations
18.
Khatoon, Shaheen, Guohui Li, & Azhar Mahmood. (2013). Comparison and evaluation of source code mining tools and techniques: A qualitative approach. Intelligent Data Analysis. 17(3). 459–484. 5 indexed citations
19.
Khatoon, Shaheen, et al.. (2011). A Framework for Automatically Mining Source Code. 5(2). 64–77. 6 indexed citations
20.
Khatoon, Shaheen, Azhar Mahmood, & Guohui Li. (2011). An evaluation of source code mining techniques. 1929–1933. 8 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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