Zaid Alyafeai
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications
- Co-authors
- Lahouari GhoutiIrfan AhmadKhalid AlmubarakZheng YongAlham Fikri AjiNiklas MuennighoffColin RaffelThomas J. Wang
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (6 papers)Advanced Text Analysis Techniques (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsPattern Recognition Letters
- Partner nations
- Saudi ArabiaGermanyUnited Kingdom
In The Last Decade
Zaid Alyafeai
13 papers receiving 424 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 374
- Computer Vision and Pattern Recognition 65
- Epidemiology 56
- Radiology, Nuclear Medicine and Imaging 48
- Computer Networks and Communications 33
Countries citing papers authored by Zaid Alyafeai
This map shows the geographic impact of Zaid Alyafeai'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 Zaid Alyafeai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaid Alyafeai more than expected).
Fields of papers citing papers by Zaid Alyafeai
This network shows the impact of papers produced by Zaid Alyafeai. 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 Zaid Alyafeai. The network helps show where Zaid Alyafeai may publish in the future.
Co-authorship network of co-authors of Zaid Alyafeai
This figure shows the co-authorship network connecting the top 25 collaborators of Zaid Alyafeai. A scholar is included among the top collaborators of Zaid Alyafeai 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 Zaid Alyafeai. Zaid Alyafeai 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 | 6 | |
| 4 | 2 | |
| 5 | Crosslingual Generalization through Multitask Finetuningbreakdown → | 190 |
| 6 | 4 | |
| 7 | 25 | |
| 8 | Arabic Compact Language Modelling for Resource Limited Devices | 1 |
| 9 | 11 | |
| 10 | 10 | |
| 11 | 29 | |
| 12 | 145 | |
| 13 | 20 |
About Zaid Alyafeai
Zaid Alyafeai is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 445 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (374 citations), Health Informatics (15 citations) and Health Information Management (21 citations). Zaid Alyafeai has collaborated with scholars based in Saudi Arabia, Germany and United Kingdom. Frequent co-authors include Lahouari Ghouti, Irfan Ahmad, Khalid Almubarak, Zheng Yong, Alham Fikri Aji, Niklas Muennighoff, Colin Raffel, Thomas J. Wang, Edward Raff and Adam Roberts. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition Letters.
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.