Sazali Yaacob
- Experimental and Cognitive Psychology top 1%
- Cognitive Neuroscience top 2%
- Signal Processing top 1%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- M. MurugappanM. HariharanP. KarthikeyanR. NagarajanWan KhairunizamKemal PolatM. RizonChia Ai Ooi
- Topics
- Speech and Audio Processing (37 papers)EEG and Brain-Computer Interfaces (34 papers)Emotion and Mood Recognition (29 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
In The Last Decade
Sazali Yaacob
145 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 142
- Experimental and Cognitive Psychology 834
- Cognitive Neuroscience 726
- Signal Processing 594
- Artificial Intelligence 532
- Computer Vision and Pattern Recognition 453
Countries citing papers authored by Sazali Yaacob
This map shows the geographic impact of Sazali Yaacob'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 Sazali Yaacob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sazali Yaacob more than expected).
Fields of papers citing papers by Sazali Yaacob
This network shows the impact of papers produced by Sazali Yaacob. 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 Sazali Yaacob. The network helps show where Sazali Yaacob may publish in the future.
Co-authorship network of co-authors of Sazali Yaacob
This figure shows the co-authorship network connecting the top 25 collaborators of Sazali Yaacob. A scholar is included among the top collaborators of Sazali Yaacob 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 Sazali Yaacob. Sazali Yaacob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | Dual-Tree Complex Wavelet Packet Transform and Feature Selection Techniques for Infant Cry Classification | 12 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 47 | |
| 11 | 96 | |
| 12 | Combining Spatial Filtering and Wavelet Transform for Classifying Human Emotions Using EEG Signals | 42 |
| 13 | 52 | |
| 14 | 14 | |
| 15 | 9 | |
| 16 | 10 | |
| 17 | 16 | |
| 18 | 3 | |
| 19 | Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG | 24 |
| 20 | EEG feature extraction for classifying emotions using FCM and FKM | 106 |
About Sazali Yaacob
Sazali Yaacob is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Pharmacy, having authored 150 papers that have together received 2.4k indexed citations. Recurring topics across this work include Speech and Audio Processing (37 papers), EEG and Brain-Computer Interfaces (34 papers) and Emotion and Mood Recognition (29 papers). The work is most often cited by research in Experimental and Cognitive Psychology (834 citations), Signal Processing (594 citations) and Cognitive Neuroscience (726 citations). Sazali Yaacob has collaborated with scholars based in Malaysia, India and Türkiye. Frequent co-authors include M. Murugappan, M. Hariharan, P. Karthikeyan, R. Nagarajan, Wan Khairunizam, Kemal Polat, M. Rizon, Chia Ai Ooi, Abdul Hamid Adom and Haniza Yazid. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.