Baharum Baharudin

1.5k citations
43 papers · 1.0k indexed · 1 hit paper · h-index 11

Baharum Baharudin

39 papers receiving 861 citations

Hit Papers

A Review of Machine Learning Algorithms for Text-Document...4542010202620152020100200300400

Peers

Baharum Baharudin
Comparison fields: 5 of 131
  • Artificial Intelligence 608
  • Information Systems 307
  • Computer Vision and Pattern Recognition 207
  • Media Technology 63
  • Signal Processing 59
Replace Mark Carman with:
Mark Carman Australia
Kun Kuang China
Zhe Zhao China
Kan Li China
Il‐Chul Moon South Korea
Richong Zhang China
S. Vijayarani India
Narjes Nikzad-Khasmakhi Iran
Venkat N. Gudivada United States
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Citations per year

Countries citing papers authored by Baharum Baharudin

Since Specialization
Citations

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

Fields of papers citing papers by Baharum Baharudin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Baharum Baharudin, 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 Baharum Baharudin Line = papers co-authored together Baharum Baharudin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Pattern and semantic analysis to improve unsupervised techniques for opinion target identification
201610
2 20164
3 20160
4 20162
5 20150
6 20152
7 20144
8
Effective image retrieval based on an experimental combination of texture features and comparison of different histogram quantizations in the DCT domain.
20141
9 20142
10 20143
11
The Statistical Quantized Histogram Texture Features Analysis for Image Retrieval Based on Median and Laplacian Filters in the DCT Domain
201332
12 20128
13 201278
14 20112
15 201130
16 201131
17 201010
18 20092
19 20099
20 20070

About Baharum Baharudin

Baharum Baharudin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Media Technology and Signal Processing, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (13 papers), Text and Document Classification Technologies (12 papers), Sentiment Analysis and Opinion Mining (10 papers), Image Retrieval and Classification Techniques (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Video Analysis and Summarization (7 papers), Spam and Phishing Detection (5 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Artificial Intelligence (608 citations), Information Systems (307 citations), Computer Vision and Pattern Recognition (207 citations), Media Technology (63 citations) and Signal Processing (59 citations). Baharum Baharudin has collaborated with scholars based in Malaysia, Pakistan and Indonesia. Frequent co-authors include Khairullah Khan, Lam Hong Lee, Irfan Ullah Khan, Ashraf Ullah, Suet-Peng Yong, Low Tang Jung, Jianmin Jiang, Wan Fatimah Wan Ahmad, Rohiza Ahmad and Teguh Bharata Adji. Their work appears in journals such as Journal of King Saud University - Computer and Information Sciences, Kuwait Journal of Science, Arabian Journal for Science and Engineering, The International Arab Journal of Information Technology and Journal of Advances in Information Technology.

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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