Zaheer Ullah Khan
- Molecular Biology
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Dechang PiIzhar Ahmed KhanYasir HussainFarman AliAsif NawazMaqsood HayatMuazzam A. KhanDong‐Jun Yu
- Topics
- Machine Learning in Bioinformatics (8 papers)Genomics and Phylogenetic Studies (5 papers)RNA and protein synthesis mechanisms (5 papers)
- Partner nations
- ChinaPakistanNew Zealand
In The Last Decade
Zaheer Ullah Khan
31 papers receiving 867 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 460
- Computer Networks and Communications 209
- Artificial Intelligence 148
- Control and Systems Engineering 99
- Computational Theory and Mathematics 93
Countries citing papers authored by Zaheer Ullah Khan
This map shows the geographic impact of Zaheer Ullah Khan'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 Zaheer Ullah Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaheer Ullah Khan more than expected).
Fields of papers citing papers by Zaheer Ullah Khan
This network shows the impact of papers produced by Zaheer Ullah Khan. 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 Zaheer Ullah Khan. The network helps show where Zaheer Ullah Khan may publish in the future.
Co-authorship network of co-authors of Zaheer Ullah Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Zaheer Ullah Khan. A scholar is included among the top collaborators of Zaheer Ullah Khan 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 Zaheer Ullah Khan. Zaheer Ullah Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 72 | |
| 5 | 42 | |
| 6 | 32 | |
| 7 | 47 | |
| 8 | 68 | |
| 9 | 72 | |
| 10 | Response to Selection and Decline in Variability, Heritabilty and Genetic Advance from F2 to F3 Generation of Tomato (Solanum Lycopercicum) | 3 |
| 11 | 8 | |
| 12 | 143 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 23 | |
| 16 | 3 | |
| 17 | Autonomous cache-provision agreement for scalability of directory facilitator in MAS | 1 |
| 18 | Effect of Root Pruning on Fruit Quality at Harvest and during Storage for Six Apple Cutivars Growing under Ultra High Density Planting System | 1 |
| 19 | 18 | |
| 20 | 11 |
About Zaheer Ullah Khan
Zaheer Ullah Khan is a scholar working on Horticulture, Transportation and Signal Processing, having authored 32 papers that have together received 894 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (8 papers), Genomics and Phylogenetic Studies (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Computer Networks and Communications (209 citations), Signal Processing (85 citations) and Molecular Biology (460 citations). Zaheer Ullah Khan has collaborated with scholars based in China, Pakistan and New Zealand. Frequent co-authors include Dechang Pi, Izhar Ahmed Khan, Yasir Hussain, Farman Ali, Asif Nawaz, Maqsood Hayat, Muazzam A. Khan, Dong‐Jun Yu, Muhammad Arif and Muhammad Kabir. Their work appears in journals such as Analytical Biochemistry, IEEE Access and Journal of Ethnopharmacology.
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.