Shaidah Jusoh

921 total citations
46 papers, 512 citations indexed

About

Shaidah Jusoh is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shaidah Jusoh has authored 46 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 9 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shaidah Jusoh's work include Semantic Web and Ontologies (8 papers), Advanced Text Analysis Techniques (6 papers) and AI in Service Interactions (5 papers). Shaidah Jusoh is often cited by papers focused on Semantic Web and Ontologies (8 papers), Advanced Text Analysis Techniques (6 papers) and AI in Service Interactions (5 papers). Shaidah Jusoh collaborates with scholars based in Jordan, Malaysia and Saudi Arabia. Shaidah Jusoh's co-authors include Sufyan Almajali, Zulkhairi Dahalin, Arafat Awajan, Nadim Obeid, Rabiah Abdul Kadir, Fangju Wang, Norita Md Norwawi, Simon X. Yang, Muhanna Muhanna and Yuxin Huang and has published in prestigious journals such as IEEE Access, Engineering Applications of Artificial Intelligence and Multimedia Tools and Applications.

In The Last Decade

Shaidah Jusoh

43 papers receiving 464 citations

Peers

Shaidah Jusoh
Comparison fields: 5 of 93
  • Artificial Intelligence 130
  • Human-Computer Interaction 118
  • Information Systems 104
  • Sociology and Political Science 84
  • Computer Vision and Pattern Recognition 77
Replace Matjaž Debevc with:
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Reinhard Oppermann Germany
Keith S. Jones United States
Gokul Chittaranjan Switzerland
Jihad Mohamad Alja’am Qatar
Moushumi Sharmin United States
Marketta Niemelä Finland
Paul Parsons United States
Ye Yuan United States
Stefano Valtolina Italy
Matjaž Debevc Slovenia View profile →
Citations per field, relative to Shaidah Jusoh
Shaidah Jusoh · 1×
Citations per year, relative to Shaidah Jusoh
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Countries citing papers authored by Shaidah Jusoh

Since Specialization
Citations

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

Fields of papers citing papers by Shaidah Jusoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaidah Jusoh

This figure shows the co-authorship network connecting the top 25 collaborators of Shaidah Jusoh. A scholar is included among the top collaborators of Shaidah Jusoh 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 Shaidah Jusoh. Shaidah Jusoh 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
# Work Indexed citations
1 1
2 1
3 0
4 6
5 1
6 28
7 7
8 5
9 116
10 1
11 10
12 6
13 59
14 2
15 45
16
A retrospective view on the promise on machine translation for Bahasa Melayu-English
1
17
Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness
1
18 1
19 8
20 2

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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