Md Abdul Masud
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 10%
- Advanced Clustering Algorithms Research
- Text and Document Classification Technologies
Papers in
-
- Advanced Clustering Algorithms Research 6
- Anomaly Detection Techniques and Applications 5
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- Energy Load and Power Forecasting 3
- Co-authors
- Joshua Zhexue Huang (7 shared papers)Zhong Ming (2 shared papers)Xianghua Fu (3 shared papers)Mohammad Sultan Mahmud (1 shared paper)Jianqiang Li (1 shared paper)Sajal Saha (1 shared paper)Jing Li (1 shared paper)Qingshan Jiang (1 shared paper)
- Journals
- IEEE Access (2 papers)Information Sciences (2 papers)Knowledge-Based Systems (1 paper)Applied Soft Computing (1 paper)Data & Knowledge Engineering (1 paper)
- Partner nations
- BangladeshChinaMalaysia
In The Last Decade
Md Abdul Masud
25 papers receiving 304 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 67
- Artificial Intelligence 142
- Information Systems 49
- Computer Networks and Communications 48
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Md Abdul Masud
This map shows the geographic impact of Md Abdul Masud'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 Abdul Masud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Abdul Masud more than expected).
Fields of papers citing papers by Md Abdul Masud
This network shows the impact of papers produced by Md Abdul Masud. 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 Abdul Masud. The network helps show where Md Abdul Masud may publish in the future.
Co-authors
The 25 scholars most cited alongside Md Abdul Masud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 72 | |
| 2 | 2019 | 42 | |
| 3 | 2016 | 42 | |
| 4 | 2023 | 41 | |
| 5 | 2016 | 24 | |
| 6 | 2019 | 14 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 8 | |
| 9 | 2017 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2020 | 2 |
About Md Abdul Masud
Md Abdul Masud is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 311 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (6 papers), Anomaly Detection Techniques and Applications (5 papers), Antenna Design and Analysis (4 papers), Brain Tumor Detection and Classification (3 papers), Microwave Imaging and Scattering Analysis (3 papers), Energy Load and Power Forecasting (3 papers), COVID-19 diagnosis using AI (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Signal Processing (67 citations), Artificial Intelligence (142 citations), Information Systems (49 citations), Computer Networks and Communications (48 citations) and Computer Vision and Pattern Recognition (41 citations). Md Abdul Masud has collaborated with scholars based in Bangladesh, China and Malaysia. Frequent co-authors include Joshua Zhexue Huang, Zhong Ming, Xianghua Fu, Mohammad Sultan Mahmud, Jianqiang Li, Sajal Saha, Jing Li, Qingshan Jiang, Md Samsuzzaman and Rezaul Azim. Their work appears in journals such as IEEE Access, Information Sciences, Knowledge-Based Systems, Applied Soft Computing and Data & Knowledge Engineering.
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.