Dino Isa
Impact in
-
- Hybrid Renewable Energy Systems
- Automotive Engineering top 2%
- Advanced Battery Technologies Research
Papers in
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- Advanced Battery Technologies Research 16
- Electric and Hybrid Vehicle Technologies 8
- Co-authors
- Lam Hong LeeRajprasad Kumar RajkumarYee Wan WongLee Wai ChongVish KallimaniPoi Sim KhiewWee Siong ChiuNiusha Shafiabady
- Journals
- Expert Systems with Applications (6 papers)Journal of Power Sources (2 papers)Chemical Engineering Journal (2 papers)Journal of Applied Sciences (2 papers)Applied Intelligence (2 papers)
- Partner nations
- MalaysiaUnited KingdomUnited States
In The Last Decade
Dino Isa
78 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 136
- Energy Engineering and Power Technology 196
- Automotive Engineering 422
- Control and Systems Engineering 446
- Electronic, Optical and Magnetic Materials 351
- Renewable Energy, Sustainability and the Environment 262
Countries citing papers authored by Dino Isa
This map shows the geographic impact of Dino Isa'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 Dino Isa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dino Isa more than expected).
Fields of papers citing papers by Dino Isa
This network shows the impact of papers produced by Dino Isa. 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 Dino Isa. The network helps show where Dino Isa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dino Isa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Palm Oil Fresh Fruit Bunch Ripeness Grading Recognition Using Convolutional Neural Network | 2018 | 50 |
| 2 | 2018 | 13 | |
| 3 | 2018 | 24 | |
| 4 | 2017 | 3 | |
| 5 | 2016 | 43 | |
| 6 | 2016 | 148 | |
| 7 | 2014 | 32 | |
| 8 | 2014 | 20 | |
| 9 | 2014 | 5 | |
| 10 | 2014 | 20 | |
| 11 | 2014 | 12 | |
| 12 | 2012 | 1 | |
| 13 | 2012 | 3 | |
| 14 | 2012 | 50 | |
| 15 | 2009 | 3 | |
| 16 | Column Vectorizing Algorithms for Support Vector Machines | 2008 | 1 |
| 17 | 2008 | 72 | |
| 18 | 2008 | 49 | |
| 19 | 2005 | 0 | |
| 20 | 1991 | 3 |
About Dino Isa
Dino Isa is a scholar working on Energy Engineering and Power Technology, Automotive Engineering, Electronic, Optical and Magnetic Materials, Artificial Intelligence and Information Systems, having authored 81 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (16 papers), Text and Document Classification Technologies (14 papers), Supercapacitor Materials and Fabrication (12 papers), Face and Expression Recognition (9 papers), Spam and Phishing Detection (8 papers), Electric and Hybrid Vehicle Technologies (8 papers), Electric Vehicles and Infrastructure (7 papers) and Microgrid Control and Optimization (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (196 citations), Automotive Engineering (422 citations), Control and Systems Engineering (446 citations), Electronic, Optical and Magnetic Materials (351 citations) and Renewable Energy, Sustainability and the Environment (262 citations). Dino Isa has collaborated with scholars based in Malaysia, United Kingdom and United States. Frequent co-authors include Lam Hong Lee, Rajprasad Kumar Rajkumar, Yee Wan Wong, Lee Wai Chong, Vish Kallimani, Poi Sim Khiew, Wee Siong Chiu, Niusha Shafiabady, Raj Rajkumar and T.K. Tan. Their work appears in journals such as Expert Systems with Applications, Journal of Power Sources, Chemical Engineering Journal, Journal of Applied Sciences and Applied Intelligence.
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.