Salem Alelyani
- Artificial Intelligence top 2%
- Computer Science Applications top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Jiliang TangHuan LiuSaeed‐Ul HassanNaif Radi AljohaniRaheel NawazHajra WaheedJulie HardmanMohamed Mohana
- Topics
- Face and Expression Recognition (7 papers)Complex Network Analysis Techniques (4 papers)Online Learning and Analytics (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorSensors
- Partner nations
- Saudi ArabiaPakistanUnited States
In The Last Decade
Salem Alelyani
34 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 743
- Computer Science Applications 314
- Computer Vision and Pattern Recognition 272
- Information Systems 248
- Computer Networks and Communications 155
Countries citing papers authored by Salem Alelyani
This map shows the geographic impact of Salem Alelyani'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 Salem Alelyani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salem Alelyani more than expected).
Fields of papers citing papers by Salem Alelyani
This network shows the impact of papers produced by Salem Alelyani. 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 Salem Alelyani. The network helps show where Salem Alelyani may publish in the future.
Co-authorship network of co-authors of Salem Alelyani
This figure shows the co-authorship network connecting the top 25 collaborators of Salem Alelyani. A scholar is included among the top collaborators of Salem Alelyani 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 Salem Alelyani. Salem Alelyani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 51 | |
| 6 | 32 | |
| 7 | 27 | |
| 8 | 29 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 22 | |
| 12 | 114 | |
| 13 | 9 | |
| 14 | 29 | |
| 15 | 1 | |
| 16 | 167 | |
| 17 | Feature selection for classification: A reviewbreakdown → | 560 |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 29 |
About Salem Alelyani
Salem Alelyani is a scholar working on Health Informatics, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Complex Network Analysis Techniques (4 papers) and Online Learning and Analytics (3 papers). The work is most often cited by research in Computer Science Applications (314 citations), Health Informatics (48 citations) and Health Information Management (121 citations). Salem Alelyani has collaborated with scholars based in Saudi Arabia, Pakistan and United States. Frequent co-authors include Jiliang Tang, Huan Liu, Saeed‐Ul Hassan, Naif Radi Aljohani, Raheel Nawaz, Hajra Waheed, Huan Liu, Julie Hardman, Mohamed Mohana and Nor Azlina Ab. Aziz. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Sensors.
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.