Norhalina Senan

428 citations
31 papers · 240 indexed · h-index 9
Topics
Fuzzy and Soft Set Theory (4 papers)Human Pose and Action Recognition (3 papers)Spectroscopy and Chemometric Analyses (3 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessMathematical Problems in Engineering

In The Last Decade

Norhalina Senan

23 papers receiving 224 citations

Peers

Norhalina Senan
Comparison fields: 5 of 75
  • Artificial Intelligence 78
  • Plant Science 59
  • Computer Vision and Pattern Recognition 57
  • Analytical Chemistry 38
  • Radiology, Nuclear Medicine and Imaging 22
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R.S. Latha India
Osama R. Shahin Saudi Arabia
G. R. Sreekanth India
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Rejwan Bin Sulaiman United Kingdom
Qin Zhi-guang China
Md. Ashiqul Islam Bangladesh
Suresh N. Mali India
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Citations per field
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Citations per year

Countries citing papers authored by Norhalina Senan

Since Specialization
Citations

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

Fields of papers citing papers by Norhalina Senan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norhalina Senan

This figure shows the co-authorship network connecting the top 25 collaborators of Norhalina Senan. A scholar is included among the top collaborators of Norhalina Senan 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 Norhalina Senan. Norhalina Senan 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
#WorkIndexed citations
1 7
2 0
3 2
4 35
5 1
6 16
7 0
8 8
9
UTHM Herbs Garden Application Using Augmented Reality
1
10 39
11 27
12 6
13
Medical data classification using similarity measure of fuzzy soft set based distance measure
8
14 12
15 0
16 0
17 7
18 6
19 1
20 6

About Norhalina Senan

Norhalina Senan is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Management Science and Operations Research, having authored 31 papers that have together received 240 indexed citations. Recurring topics across this work include Fuzzy and Soft Set Theory (4 papers), Human Pose and Action Recognition (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Health Information Management (21 citations), Analytical Chemistry (38 citations) and Computer Vision and Pattern Recognition (57 citations). Norhalina Senan has collaborated with scholars based in Malaysia, Indonesia and United Kingdom. Frequent co-authors include Rosziati Ibrahim, Saima Anwar Lashari, Muhammad Aamir, Muhammad Aamir, Mukhtaj Khan, Ali Samad, Fazli Wahid, Aida Mustapha, Tahir Alyas and Musa Mohd Mokji. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Mathematical Problems in Engineering.

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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