Ali Raza
- Molecular Biology
- Civil and Structural Engineering top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Electrical and Electronic Engineering
- Co-authors
- Joon Huang ChuahShahid AkbarQuan ZouMuhammad ShoaibNorrima MokhtarMohamad Sofian Abu TalipYizhou WangJamal Uddin
- Topics
- Machine Learning in Bioinformatics (10 papers)vaccines and immunoinformatics approaches (7 papers)Infrastructure Maintenance and Monitoring (6 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaRenewable and Sustainable Energy Reviews
In The Last Decade
Ali Raza
60 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 498
- Civil and Structural Engineering 274
- Artificial Intelligence 228
- Radiology, Nuclear Medicine and Imaging 209
- Electrical and Electronic Engineering 195
Countries citing papers authored by Ali Raza
This map shows the geographic impact of Ali Raza'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 Ali Raza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Raza more than expected).
Fields of papers citing papers by Ali Raza
This network shows the impact of papers produced by Ali Raza. 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 Ali Raza. The network helps show where Ali Raza may publish in the future.
Co-authorship network of co-authors of Ali Raza
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Raza. A scholar is included among the top collaborators of Ali Raza 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 Ali Raza. Ali Raza 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 | 1 | |
| 3 | 13 | |
| 4 | 0 | |
| 5 | 30 | |
| 6 | iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networksbreakdown → | 67 |
| 7 | 5 | |
| 8 | Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking modelbreakdown → | 71 |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 25 | |
| 15 | 6 | |
| 16 | 20 | |
| 17 | 46 | |
| 18 | 55 | |
| 19 | 9 | |
| 20 | 9 |
About Ali Raza
Ali Raza is a scholar working on Microbiology, Ophthalmology and Fluid Flow and Transfer Processes, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (10 papers), vaccines and immunoinformatics approaches (7 papers) and Infrastructure Maintenance and Monitoring (6 papers). The work is most often cited by research in Health Informatics (18 citations), Civil and Structural Engineering (274 citations) and Radiology, Nuclear Medicine and Imaging (209 citations). Ali Raza has collaborated with scholars based in Pakistan, China and Malaysia. Frequent co-authors include Joon Huang Chuah, Shahid Akbar, Quan Zou, Muhammad Shoaib, Norrima Mokhtar, Mohamad Sofian Abu Talip, Yizhou Wang, Jamal Uddin, Fawaz Khaled Alarfaj and Nicolás Rodríguez. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.
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.