Bilal Mirza
- Artificial Intelligence top 5%
- Machine Learning and ELM 7
- Imbalanced Data Classification Techniques 4
- Domain Adaptation and Few-Shot Learning 3
- Health Information Management top 10%
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- Advanced Image and Video Retrieval Techniques 3
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- Bioinformatics and Genomic Networks 4
- Extracellular vesicles in disease 3
- Metabolomics and Mass Spectrometry Studies 2
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- Genetic Associations and Epidemiology 2
- Journals
- SHILAP Revista de lepidopterología (1 paper)Neurocomputing (3 papers)Neural Networks (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Bilal Mirza
19 papers receiving 734 citations
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 430
- Health Informatics 11
- Health Information Management 28
- Computer Vision and Pattern Recognition 103
- Cancer Research 45
Countries citing papers authored by Bilal Mirza
This map shows the geographic impact of Bilal Mirza'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 Bilal Mirza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bilal Mirza more than expected).
Fields of papers citing papers by Bilal Mirza
This network shows the impact of papers produced by Bilal Mirza. 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 Bilal Mirza. The network helps show where Bilal Mirza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bilal Mirza, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2020 | 4 | |
| 4 | 2019 | 38 | |
| 5 | 2019 | 238 | |
| 6 | 2018 | 15 | |
| 7 | 2018 | 1 | |
| 8 | 2018 | 6 | |
| 9 | 2017 | 33 | |
| 10 | 2017 | 54 | |
| 11 | 2016 | 76 | |
| 12 | 2016 | 5 | |
| 13 | 2016 | 6 | |
| 14 | 2015 | 3 | |
| 15 | 2015 | 20 | |
| 16 | 2014 | 128 | |
| 17 | 2014 | 35 | |
| 18 | 2013 | 3 | |
| 19 | 2013 | 82 |
About Bilal Mirza
Bilal Mirza is a scholar working on Health Informatics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 751 indexed citations. Recurring topics across this work include Machine Learning and ELM (7 papers), Bioinformatics and Genomic Networks (4 papers), Imbalanced Data Classification Techniques (4 papers), Extracellular vesicles in disease (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Artificial Intelligence (430 citations), Health Informatics (11 citations) and Health Information Management (28 citations). Bilal Mirza has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Zhiping Lin, Nan Liu, Peipei Ping, Howard Choi, Neo Christopher Chung, Wei Wang, Jie Wang, Tam Nguyen, Kar‐Ann Toh and Xiaoping Lai. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and Neural Networks.
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.