Md. Abul Ala Walid
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Health Information Management top 5%
- Neurology
- Co-authors
- S.M. Masum AhmedMohammad ZeyadMd. Jamal UddinMd. Martuza AhamadRavi RastogiM. S. SubramanianSarada Prasanna MallickNaif Alotaibi
- Topics
- AI in cancer detection (10 papers)Digital Imaging for Blood Diseases (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEDiagnostics
- Partner nations
- BangladeshIndiaUnited States
In The Last Decade
Md. Abul Ala Walid
39 papers receiving 240 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 113
- Computer Vision and Pattern Recognition 64
- Radiology, Nuclear Medicine and Imaging 46
- Health Information Management 29
- Neurology 26
Countries citing papers authored by Md. Abul Ala Walid
This map shows the geographic impact of Md. Abul Ala Walid'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 Md. Abul Ala Walid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Abul Ala Walid more than expected).
Fields of papers citing papers by Md. Abul Ala Walid
This network shows the impact of papers produced by Md. Abul Ala Walid. 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 Md. Abul Ala Walid. The network helps show where Md. Abul Ala Walid may publish in the future.
Co-authorship network of co-authors of Md. Abul Ala Walid
This figure shows the co-authorship network connecting the top 25 collaborators of Md. Abul Ala Walid. A scholar is included among the top collaborators of Md. Abul Ala Walid 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 Md. Abul Ala Walid. Md. Abul Ala Walid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 16 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 32 | |
| 20 | 6 |
About Md. Abul Ala Walid
Md. Abul Ala Walid is a scholar working on Computer Science Applications, Artificial Intelligence and Health Information Management, having authored 45 papers that have together received 255 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Digital Imaging for Blood Diseases (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Health Information Management (29 citations), Health Informatics (6 citations) and Artificial Intelligence (113 citations). Md. Abul Ala Walid has collaborated with scholars based in Bangladesh, India and United States. Frequent co-authors include S.M. Masum Ahmed, Mohammad Zeyad, Md. Jamal Uddin, Md. Martuza Ahamad, Ravi Rastogi, M. S. Subramanian, Sarada Prasanna Mallick, Naif Alotaibi, Muhammad Ashad Kabir and Mohammad Ali Moni. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diagnostics.
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.