Muhammad Shayan
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Adversarial Robustness in Machine Learning
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 1
- Cryptography and Data Security 1
- Advanced Text Analysis Techniques 1
- Internet Traffic Analysis and Secure E-voting 1
- Co-authors
- Clement Fung (1 shared paper)Chris J. M. Yoon (1 shared paper)Ivan Beschastnikh (1 shared paper)Imran Khan (3 shared papers)Salman Ali Khan (3 shared papers)Muhammad Rizwan (2 shared papers)Abdullah N. Alodhayb (2 shared papers)Shiliang Wang (1 shared paper)
- Journals
- Solar RRL (1 paper)Carbon (1 paper)Preventive Medicine (1 paper)ACS Applied Nano Materials (1 paper)Joule (1 paper)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Muhammad Shayan
10 papers receiving 324 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 227
- Health Informatics 8
- Information Systems 135
- Computer Science Applications 26
- Renewable Energy, Sustainability and the Environment 44
Countries citing papers authored by Muhammad Shayan
This map shows the geographic impact of Muhammad Shayan'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 Muhammad Shayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Shayan more than expected).
Fields of papers citing papers by Muhammad Shayan
This network shows the impact of papers produced by Muhammad Shayan. 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 Muhammad Shayan. The network helps show where Muhammad Shayan may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Shayan, 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 | 2020 | 248 | |
| 2 | 2024 | 17 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 13 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 11 | |
| 7 | 2024 | 10 | |
| 8 | 2023 | 2 | |
| 9 | 2016 | 2 | |
| 10 | 2023 | 1 |
About Muhammad Shayan
Muhammad Shayan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Electronic, Optical and Magnetic Materials and Health, having authored 10 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (2 papers), Energy and Environment Impacts (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Cryptography and Data Security (1 paper), Gun Ownership and Violence Research (1 paper), Metamaterials and Metasurfaces Applications (1 paper), Advanced Text Analysis Techniques (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Artificial Intelligence (227 citations), Health Informatics (8 citations), Information Systems (135 citations), Computer Science Applications (26 citations) and Renewable Energy, Sustainability and the Environment (44 citations). Muhammad Shayan has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh, Imran Khan, Salman Ali Khan, Muhammad Rizwan, Abdullah N. Alodhayb, Shiliang Wang, Basem Al Alwan and Rizwan Ullah. Their work appears in journals such as Solar RRL, Carbon, Preventive Medicine, ACS Applied Nano Materials and Joule.
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.