Milad Alizadeh

761 citations
23 papers · 407 indexed · h-index 10
Topics
Advanced Neural Network Applications (5 papers)Plant Molecular Biology Research (5 papers)Plant tissue culture and regeneration (5 papers)
Partner nations
CanadaIranUnited Kingdom

In The Last Decade

Milad Alizadeh

21 papers receiving 401 citations

Peers

Milad Alizadeh
Comparison fields: 5 of 65
  • Plant Science 275
  • Molecular Biology 230
  • Pharmacology 67
  • Biotechnology 36
  • Biomedical Engineering 24
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Michael Banf United States
Guanze Liu China
Hyun‐Suk Cho South Korea
Yu Hong China
Bohan Guo China
Mohammad Murtaza Alami China
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Milad Alizadeh relative to Michael Banf United States Michael Banf's profile →
Citations per field
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Michael Banf · 1×
Citations per year

Countries citing papers authored by Milad Alizadeh

Since Specialization
Citations

This map shows the geographic impact of Milad Alizadeh'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 Milad Alizadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milad Alizadeh more than expected).

Fields of papers citing papers by Milad Alizadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milad Alizadeh. 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 Milad Alizadeh. The network helps show where Milad Alizadeh may publish in the future.

Co-authorship network of co-authors of Milad Alizadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Milad Alizadeh. A scholar is included among the top collaborators of Milad Alizadeh 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 Milad Alizadeh. Milad Alizadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 3
4 0
5 0
6 55
7 22
8 67
9
Gradient 𝓁 1 Regularization for Quantization Robustness.
2
10 37
11 75
12 4
13
An Empirical study of Binary Neural Networks' Optimisation
16
14 2
15 3
16 40
17 1
18 1
19 44
20
IEEE VTC 2012 Spring, Yokohama, Japan
4

About Milad Alizadeh

Milad Alizadeh is a scholar working on Software, Computer Vision and Pattern Recognition and Biotechnology, having authored 23 papers that have together received 407 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Plant Molecular Biology Research (5 papers) and Plant tissue culture and regeneration (5 papers). The work is most often cited by research in Plant Science (275 citations), Biotechnology (36 citations) and Pharmacology (67 citations). Milad Alizadeh has collaborated with scholars based in Canada, Iran and United Kingdom. Frequent co-authors include Mohsen Hesami, Andrew Maxwell Phineas Jones, Davoud Torkamaneh, Marco Pepe, Mohammad Hosein Daneshvar, Masoud Tohidfar, Mohsen Yoosefzadeh-Najafabadi, Roohangiz Naderi, Liang Song and Nicholas D. Lane. Their work appears in journals such as PLoS ONE, PLANT PHYSIOLOGY and International Journal of Molecular Sciences.

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.

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