Muhammad Suzuri Hitam

751 citations
43 papers · 511 indexed · 1 hit paper · h-index 7

Muhammad Suzuri Hitam

39 papers receiving 469 citations

Hit Papers

Mixture contrast limited adaptive histogram equalization ...3012013202620172021100200300

Peers

Muhammad Suzuri Hitam
Comparison fields: 5 of 96
  • Media Technology 153
  • Computer Vision and Pattern Recognition 344
  • Water Science and Technology 45
  • Bioengineering 15
  • Horticulture 2
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Citations per year

Countries citing papers authored by Muhammad Suzuri Hitam

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Suzuri Hitam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Suzuri Hitam. 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 Muhammad Suzuri Hitam. The network helps show where Muhammad Suzuri Hitam may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Muhammad Suzuri Hitam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Suzuri Hitam Line = papers co-authored together Muhammad Suzuri Hitam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20241
4 20240
5 20236
6 20231
7 20230
8 20232
9 20196
10 20192
11
Classification of Coral Reef Components Using Color and Texture Features
20175
12
Improved Coral Reef Images Segmentation using Modified JSEG Algorithm
20171
13 20149
14 20133
15 20121
16 20122
17
FEATURES EXTRACTION ALGORITHM FROM SGML FOR CLASSIFICATION
20073
18 20062
19
Image texture classification using gray level co-occurrence matrix and neural network
20035
20 20023

About Muhammad Suzuri Hitam

Muhammad Suzuri Hitam is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Water Science and Technology, Computer Graphics and Computer-Aided Design and Analytical Chemistry, having authored 43 papers that have together received 511 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Advanced Image and Video Retrieval Techniques (9 papers), Remote-Sensing Image Classification (8 papers), Water Quality Monitoring Technologies (7 papers), Image Enhancement Techniques (4 papers), Coral and Marine Ecosystems Studies (3 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Media Technology (153 citations), Computer Vision and Pattern Recognition (344 citations), Water Science and Technology (45 citations), Bioengineering (15 citations) and Horticulture (2 citations). Muhammad Suzuri Hitam has collaborated with scholars based in Malaysia, Jordan and United Kingdom. Frequent co-authors include Wan Nural Jawahir Hj Wan Yussof, Ezmahamrul Afreen Awalludin, Zainudin Bachok, Ali Yeon Md Shakaff, Mohd Noor Ahmad, Munir Ahmad, Zhari Ismail, Noor Maizura Mohamad Noor, Masita Abdul Jalil and Zailani Abdullah. Their work appears in journals such as Digital Signal Processing, Sensors and Actuators B Chemical, Journal of Applied Sciences, Sensors and International Journal of Electrical and Computer Engineering (IJECE).

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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