Naveed Afzal
- Artificial Intelligence top 2%
- Materials Chemistry top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Hongfang LiuYanshan WangFeichen ShenLiwei WangMutharasu DevarajanMajid Rastegar-MojaradSijia LiuSunghwan Sohn
- Topics
- ZnO doping and properties (26 papers)Metal and Thin Film Mechanics (19 papers)Gas Sensing Nanomaterials and Sensors (16 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- PakistanMalaysiaUnited States
In The Last Decade
Naveed Afzal
107 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 813
- Materials Chemistry 551
- Molecular Biology 497
- Pulmonary and Respiratory Medicine 434
- Electrical and Electronic Engineering 323
Countries citing papers authored by Naveed Afzal
This map shows the geographic impact of Naveed Afzal'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 Naveed Afzal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naveed Afzal more than expected).
Fields of papers citing papers by Naveed Afzal
This network shows the impact of papers produced by Naveed Afzal. 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 Naveed Afzal. The network helps show where Naveed Afzal may publish in the future.
Co-authorship network of co-authors of Naveed Afzal
This figure shows the co-authorship network connecting the top 25 collaborators of Naveed Afzal. A scholar is included among the top collaborators of Naveed Afzal 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 Naveed Afzal. Naveed Afzal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 14 | |
| 7 | 26 | |
| 8 | 32 | |
| 9 | 0 | |
| 10 | 37 | |
| 11 | A Multicentre Study of 5-year Outcomes Following Focal Therapy in Treating Clinically Significant Nonmetastatic Prostate Cancerbreakdown → | 225 |
| 12 | 11 | |
| 13 | Accelerating Rare Disease Diagnosis with Collaborative Filtering. | 2 |
| 14 | 74 | |
| 15 | 50 | |
| 16 | Unsupervised Relation Extraction for Automatic Generation of Multiple-Choice Questions | 2 |
| 17 | Translation universals: do they exist? A corpus-based NLP study of convergence and simplification | 26 |
| 18 | 30 | |
| 19 | 37 | |
| 20 | 28 |
About Naveed Afzal
Naveed Afzal is a scholar working on Metals and Alloys, Condensed Matter Physics and Materials Chemistry, having authored 116 papers that have together received 2.5k indexed citations. Recurring topics across this work include ZnO doping and properties (26 papers), Metal and Thin Film Mechanics (19 papers) and Gas Sensing Nanomaterials and Sensors (16 papers). The work is most often cited by research in Health Informatics (115 citations), Health Information Management (165 citations) and Artificial Intelligence (813 citations). Naveed Afzal has collaborated with scholars based in Pakistan, Malaysia and United States. Frequent co-authors include Hongfang Liu, Yanshan Wang, Feichen Shen, Liwei Wang, Mutharasu Devarajan, Majid Rastegar-Mojarad, Sijia Liu, Sunghwan Sohn, Anas A. Ahmed and Sungrim Moon. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.
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.