Hazrat Bilal
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Civil and Structural Engineering
- Building and Construction
- Co-authors
- Muhammad Shamrooz AslamBaoqun YinAakash KumarYun LiInam UllahYibin TianAbid YahyaAthanasios V. Vasilakos
- Topics
- Adaptive Dynamic Programming Control (4 papers)Anomaly Detection Techniques and Applications (4 papers)Fuzzy Logic and Control Systems (4 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- ChinaSaudi ArabiaPakistan
In The Last Decade
Hazrat Bilal
39 papers receiving 444 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 169
- Computer Vision and Pattern Recognition 99
- Control and Systems Engineering 75
- Civil and Structural Engineering 48
- Building and Construction 38
Countries citing papers authored by Hazrat Bilal
This map shows the geographic impact of Hazrat Bilal'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 Hazrat Bilal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hazrat Bilal more than expected).
Fields of papers citing papers by Hazrat Bilal
This network shows the impact of papers produced by Hazrat Bilal. 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 Hazrat Bilal. The network helps show where Hazrat Bilal may publish in the future.
Co-authorship network of co-authors of Hazrat Bilal
This figure shows the co-authorship network connecting the top 25 collaborators of Hazrat Bilal. A scholar is included among the top collaborators of Hazrat Bilal 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 Hazrat Bilal. Hazrat Bilal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 15 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 25 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 3 | |
| 15 | 30 | |
| 16 | 46 | |
| 17 | 19 | |
| 18 | 2 | |
| 19 | 63 | |
| 20 | 14 |
About Hazrat Bilal
Hazrat Bilal is a scholar working on Computational Mathematics, Health Informatics and Medical Laboratory Technology, having authored 48 papers that have together received 462 indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Fuzzy Logic and Control Systems (4 papers). The work is most often cited by research in Artificial Intelligence (169 citations), Computer Vision and Pattern Recognition (99 citations) and Control and Systems Engineering (75 citations). Hazrat Bilal has collaborated with scholars based in China, Saudi Arabia and Pakistan. Frequent co-authors include Muhammad Shamrooz Aslam, Baoqun Yin, Aakash Kumar, Yun Li, Inam Ullah, Yibin Tian, Abid Yahya, Athanasios V. Vasilakos, Muhammad Anas and Muhammad Nadeem Khan. Their work appears in journals such as Scientific Reports, IEEE Access and Renewable Energy.
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.