Jamal Hussain
- Computer Networks and Communications top 2%
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Public Health, Environmental and Occupational Health top 5%
- Signal Processing top 5%
- Co-authors
- Samuel LalmuanawmaVanlalruata HnamteBalram DubeyBirinchi K. DasYong‐Hwa KimRanjit Kumar UpadhyayS. Manohar NaikNajabat Ali
- Topics
- Network Security and Intrusion Detection (20 papers)Internet Traffic Analysis and Secure E-voting (12 papers)Advanced Malware Detection Techniques (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessEcological Modelling
- Partner nations
- IndiaUnited KingdomPakistan
In The Last Decade
Jamal Hussain
43 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Networks and Communications 518
- Artificial Intelligence 482
- Radiology, Nuclear Medicine and Imaging 279
- Public Health, Environmental and Occupational Health 275
- Signal Processing 233
Countries citing papers authored by Jamal Hussain
This map shows the geographic impact of Jamal Hussain'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 Jamal Hussain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamal Hussain more than expected).
Fields of papers citing papers by Jamal Hussain
This network shows the impact of papers produced by Jamal Hussain. 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 Jamal Hussain. The network helps show where Jamal Hussain may publish in the future.
Co-authorship network of co-authors of Jamal Hussain
This figure shows the co-authorship network connecting the top 25 collaborators of Jamal Hussain. A scholar is included among the top collaborators of Jamal Hussain 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 Jamal Hussain. Jamal Hussain 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 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | DCNNBiLSTM: An Efficient Hybrid Deep Learning-Based Intrusion Detection Systembreakdown → | 131 |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 52 | |
| 13 | 0 | |
| 14 | 47 | |
| 15 | Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A reviewbreakdown → | 512 |
| 16 | 1 | |
| 17 | Modeling the effect of pollution on biological species: A socio-ecological problem | 3 |
| 18 | A Hybrid Approach for Determining the Efficient Network Intrusion Detection System | 1 |
| 19 | 11 | |
| 20 | 69 |
About Jamal Hussain
Jamal Hussain is a scholar working on Modeling and Simulation, Signal Processing and Computer Networks and Communications, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (20 papers), Internet Traffic Analysis and Secure E-voting (12 papers) and Advanced Malware Detection Techniques (12 papers). The work is most often cited by research in Health Informatics (71 citations), Modeling and Simulation (218 citations) and Computer Networks and Communications (518 citations). Jamal Hussain has collaborated with scholars based in India, United Kingdom and Pakistan. Frequent co-authors include Samuel Lalmuanawma, Vanlalruata Hnamte, Balram Dubey, Birinchi K. Das, Yong‐Hwa Kim, Ranjit Kumar Upadhyay, S. Manohar Naik, Najabat Ali, Xuhua Hu and Uma S. Dubey. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Ecological Modelling.
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.