Selected Journal Papers

1.      Real-time feedback query expansion technique for supporting scholarly search using citation network analysis, Journal of Information Science,  SCI Index,  First Author, Available at: https://doi.org/10.1177/0165551519863346.

2.      Khalid S, Wu S, Wahid A, Alam A, Ullah I. An effective scholarly search by combining inverted indices and structured search with citation networks analysis. IEEE Access. 2021 Aug 25;9:120210-26.

3.      On The Current State of Scholarly Retrieval Systems, Journal: Engineering Technology and Applied Science Research, ESCI, First Author, Available at: http://orcid.org/0000-0002-7734-7243.

4.    Crawling Ajax-based Web Applications: Evolution and State-of-the-art. (Malaysian Journal of Computer science- SCI index),  First Author, Available at: http://mjs.um.edu.my/index.php/MJCS/article/view/10558.

5.      Supporting Scholarly Search by Query Expansion and Citation Analysis, Journal: Engineering Technology and Applied Science Research, First Author, Available at: https://doi.org/10.48084/etasr.3655.

6.     Embedding Based Learning for Collection Selection in Federated Search, Journal: Data Technologies and Applications, SCI Index, Second Author,  https://doi.org/10.1108/DTA-01-2019-0005.

7.      Social Question and Answer Sites: The Story So Far. Journal: Program electronic library and information systems, SCI indexed,  URL: https://www.researchgate.net/publication/316786510).

8.      Multi-objective approach for determining the usefulness of papers in Academic search, Journal: Data Technologies and Applications,  SCI Index,  First Author, DOI: https://doi.org/10.1108/DTA-05-2020-0104 .

9.  J. Khan, N. Ahmad, S. Khalid, F. Ali and Y. Lee, "Sentiment and Context-Aware Hybrid DNN with Attention for Text Sentiment Classification," in IEEE Access, doi: 10.1109/ACCESS.2023.3259107. 

10. Garba, Adamu, Shah Khalid, and Irfan Ullah. "Understanding the impact of query expansion on federated search." Multimedia Tools and Applications (2023): 1-15. Corresponding Author

11.Garba, Adamu, Shengli Wu, and Shah Khalid. "Federated search techniques: an overview of the trends and state of the art." Knowledge and Information Systems (2023): 1-31. 

12. Bano, Sheher, et al. "Summarization of Scholarly Articles Using BERT and BiGRU: Deep Learning-Based Extractive Approach." Journal of King Saud University-Computer and Information Sciences (2023): 101739 

13.Karim, Misha, et al. "HADE: Exploiting Human Action Recognition Through Fine-Tuned Deep Learning Methods." IEEE Access 12 (2024): 42769-42790. 

14. Karim, Misha, et al. "Human Action Recognition Systems: A Review of the Trends and State-of-the-Art." IEEE Access (2024).