Hadi Veisi
- Artificial Intelligence top 2%
- Signal Processing top 5%
- Information Systems top 5%
- Computational Mechanics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Rouhollah RahmaniAli GhodsiHossein SametiHadi ZareArman SadeghiSoheila MolaeiAli Makki SagheerMansour Jamzad
- Topics
- Speech Recognition and Synthesis (24 papers)Speech and Audio Processing (23 papers)Topic Modeling (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- IranIraqUnited States
In The Last Decade
Hadi Veisi
86 papers receiving 792 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 522
- Signal Processing 195
- Information Systems 113
- Computational Mechanics 85
- Computer Vision and Pattern Recognition 81
Countries citing papers authored by Hadi Veisi
This map shows the geographic impact of Hadi Veisi'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 Hadi Veisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hadi Veisi more than expected).
Fields of papers citing papers by Hadi Veisi
This network shows the impact of papers produced by Hadi Veisi. 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 Hadi Veisi. The network helps show where Hadi Veisi may publish in the future.
Co-authorship network of co-authors of Hadi Veisi
This figure shows the co-authorship network connecting the top 25 collaborators of Hadi Veisi. A scholar is included among the top collaborators of Hadi Veisi 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 Hadi Veisi. Hadi Veisi 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 | 2 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | A Review on Brain Tumor Classification in MRI Images | 6 |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 3 | |
| 16 | A Deep Learning Approach to Persian Plagiarism Detection. | 22 |
| 17 | Graph-based Approach to Text Alignment for Plagiarism Detection in Persian Documents. | 6 |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 7 |
About Hadi Veisi
Hadi Veisi is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 94 papers that have together received 838 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (24 papers), Speech and Audio Processing (23 papers) and Topic Modeling (18 papers). The work is most often cited by research in Signal Processing (195 citations), Artificial Intelligence (522 citations) and Information Systems (113 citations). Hadi Veisi has collaborated with scholars based in Iran, Iraq and United States. Frequent co-authors include Rouhollah Rahmani, Ali Ghodsi, Hossein Sameti, Hadi Zare, Arman Sadeghi, Soheila Molaei, Ali Makki Sagheer, Mansour Jamzad, Mohammad Hassan Saidi and Mostafa Salehi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.