Shah Marjan
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Environmental Engineering top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Uzair Aslam BhattiHao TangGuilu WuAamir HussainSibghat Ullah BazaiAhmad HasnainSaad AslamAbdul Wahid
- Topics
- Advanced Malware Detection Techniques (6 papers)Network Security and Intrusion Detection (5 papers)Air Quality and Health Impacts (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionExpert Systems with Applications
In The Last Decade
Shah Marjan
19 papers receiving 579 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 140
- Computer Vision and Pattern Recognition 108
- Environmental Engineering 77
- Computer Networks and Communications 61
- Information Systems 52
Countries citing papers authored by Shah Marjan
This map shows the geographic impact of Shah Marjan'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 Shah Marjan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shah Marjan more than expected).
Fields of papers citing papers by Shah Marjan
This network shows the impact of papers produced by Shah Marjan. 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 Shah Marjan. The network helps show where Shah Marjan may publish in the future.
Co-authorship network of co-authors of Shah Marjan
This figure shows the co-authorship network connecting the top 25 collaborators of Shah Marjan. A scholar is included among the top collaborators of Shah Marjan 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 Shah Marjan. Shah Marjan 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 | 1 | |
| 3 | MFFCG – Multi feature fusion for hyperspectral image classification using graph attention networkbreakdown → | 123 |
| 4 | 38 | |
| 5 | 22 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 24 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligencebreakdown → | 231 |
| 13 | 4 | |
| 14 | 0 | |
| 15 | 39 | |
| 16 | 42 | |
| 17 | 26 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Shah Marjan
Shah Marjan is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 21 papers that have together received 593 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Network Security and Intrusion Detection (5 papers) and Air Quality and Health Impacts (3 papers). The work is most often cited by research in Media Technology (52 citations), Environmental Engineering (77 citations) and Computer Vision and Pattern Recognition (108 citations). Shah Marjan has collaborated with scholars based in Pakistan, China and Malaysia. Frequent co-authors include Uzair Aslam Bhatti, Hao Tang, Guilu Wu, Aamir Hussain, Sibghat Ullah Bazai, Ahmad Hasnain, Saad Aslam, Abdul Wahid, Syam M.S. and Hao Tang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Expert Systems with Applications.
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.