Syamsiah Mashohor

2.8k total citations
96 papers, 1.9k citations indexed

About

Syamsiah Mashohor is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Syamsiah Mashohor has authored 96 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 28 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Artificial Intelligence. Recurrent topics in Syamsiah Mashohor's work include Medical Image Segmentation Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Image Retrieval and Classification Techniques (10 papers). Syamsiah Mashohor is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Image Retrieval and Classification Techniques (10 papers). Syamsiah Mashohor collaborates with scholars based in Malaysia, Iran and United Kingdom. Syamsiah Mashohor's co-authors include M. Iqbal Saripan, Rozi Mahmud, Abd Rahman Ramli, Mohammad Ali Balafar, Mehrdad Moghbel, Abdul Rahman Ramli, Babak Karasfi, Afsaneh Jalalian, Abbas M. Al-Ghaili and Alyani Ismail and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biophysical Journal.

In The Last Decade

Syamsiah Mashohor

89 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Syamsiah Mashohor Malaysia 22 1.0k 718 623 300 283 96 1.9k
Xipeng Pan China 27 1.3k 1.2× 645 0.9× 711 1.1× 273 0.9× 413 1.5× 108 2.2k
Xieping Gao China 22 933 0.9× 556 0.8× 529 0.8× 321 1.1× 209 0.7× 131 1.9k
Albert C. S. Chung Hong Kong 24 1.8k 1.7× 495 0.7× 288 0.5× 170 0.6× 300 1.1× 113 2.2k
Deepak Ranjan Nayak India 26 723 0.7× 760 1.1× 908 1.5× 540 1.8× 150 0.5× 74 2.0k
Zhenbing Liu China 24 961 0.9× 300 0.4× 688 1.1× 195 0.7× 413 1.5× 101 1.8k
Ümit Budak Türkiye 21 517 0.5× 542 0.8× 602 1.0× 158 0.5× 67 0.2× 42 1.6k
J. Anitha India 19 539 0.5× 349 0.5× 473 0.8× 184 0.6× 375 1.3× 118 1.5k
Siyuan Lu China 24 750 0.7× 578 0.8× 925 1.5× 584 1.9× 118 0.4× 56 2.3k
Junding Sun China 18 612 0.6× 320 0.4× 462 0.7× 358 1.2× 146 0.5× 90 1.5k
Naoufel Werghi United Arab Emirates 28 1.4k 1.3× 517 0.7× 671 1.1× 82 0.3× 133 0.5× 255 2.5k

Countries citing papers authored by Syamsiah Mashohor

Since Specialization
Citations

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

Fields of papers citing papers by Syamsiah Mashohor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Syamsiah Mashohor

This figure shows the co-authorship network connecting the top 25 collaborators of Syamsiah Mashohor. A scholar is included among the top collaborators of Syamsiah Mashohor 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 Syamsiah Mashohor. Syamsiah Mashohor 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.
Kamil, Yasmin Mustapha, et al.. (2025). Functionalized cascaded tapered optical fiber sensor for simultaneous detection of dengue II E and SARS-CoV-2 S proteins. Biosensors and Bioelectronics. 277. 117200–117200. 4 indexed citations
2.
Mashohor, Syamsiah, et al.. (2024). Assessment of IoT-Driven Predictive Maintenance Strategies for Computed Tomography Equipment: A Machine Learning Approach. IEEE Access. 12. 195505–195515. 5 indexed citations
3.
4.
Jusoh, Mohamad Huzaimy, et al.. (2023). Bibliographic dataset of literature for analysing global trends and progress of the machine learning paradigm in space weather research. Data in Brief. 51. 109667–109667. 2 indexed citations
5.
Hanafi, Marsyita, et al.. (2022). Fuzzy-based Nutrient System for Chili Cultivation in Urban Area. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 10(2). 3 indexed citations
6.
Saripan, M. Iqbal, et al.. (2022). Towards efficient Monte Carlo N-Particle simulation of a positron emission tomography (PET) via source volume definition. Applied Radiation and Isotopes. 189. 110418–110418.
7.
Mashohor, Syamsiah, et al.. (2022). Brain MRI dataset of multiple sclerosis with consensus manual lesion segmentation and patient meta information. Data in Brief. 42. 108139–108139. 20 indexed citations
8.
Saripan, M. Iqbal, et al.. (2021). Correlation between 18F-FDG dosage and SNR on various BMI patient groups tested in NEMA IEC PET phantom. Applied Radiation and Isotopes. 176. 109885–109885. 2 indexed citations
9.
Hanafi, Marsyita, et al.. (2020). Remote Monitoring of Surface Temperature and Moisture Content in Urban Greenhouse. 101–105. 3 indexed citations
10.
Hanafi, Marsyita, et al.. (2020). Machine learning in medicinal plants recognition: a review. Artificial Intelligence Review. 54(1). 305–327. 58 indexed citations
11.
Moghbel, Mehrdad, et al.. (2017). Breast boundary segmentation in thermography images based on random walkers. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 25. 1733–1750. 5 indexed citations
12.
Hanafi, Marsyita, et al.. (2017). Automatic diabetic retinopathy detection and classification system. 162–166. 24 indexed citations
13.
Mohammad, Thamer Ahmad, et al.. (2016). Potential impacts of climate change on precipitation and temperature at Jor Dam Lake. Pertanika journal of science & technology. 24(1). 213–224. 6 indexed citations
14.
Hanafi, Marsyita, et al.. (2015). Large Variability Surveillance Camera Face Database. 22. 108–112. 1 indexed citations
15.
Jalalian, Afsaneh, Syamsiah Mashohor, Rozi Mahmud, et al.. (2012). Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review. Clinical Imaging. 37(3). 420–426. 268 indexed citations
16.
Mahmud, Rozi, et al.. (2012). Enhancing Breast Ultrasound Images: A Phantom Study. Biophysical Journal. 102(3). 186a–186a. 1 indexed citations
17.
Moghbel, Mehrdad & Syamsiah Mashohor. (2011). A review of computer assisted detection/diagnosis (CAD) in breast thermography for breast cancer detection. Artificial Intelligence Review. 39(4). 305–313. 45 indexed citations
18.
Mashohor, Syamsiah, et al.. (2010). Nose tip region detection in 3D facial model across large pose variation and facial expression. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 6 indexed citations
19.
Mashohor, Syamsiah, et al.. (2009). Comparison of 3S multi-thresolding with fuzzy C-means method. 17. 119–124.
20.
Al-Ghaili, Abbas M., Syamsiah Mashohor, Alyani Ismail, & Abdul Rahman Ramli. (2008). A new vertical edge detection algorithm and its application. 204–209. 22 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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