Farshid Hajati

963 total citations · 1 hit paper
38 papers, 490 citations indexed

About

Farshid Hajati is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Farshid Hajati has authored 38 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Health Information Management. Recurrent topics in Farshid Hajati's work include Machine Learning in Healthcare (11 papers), Face and Expression Recognition (10 papers) and Face recognition and analysis (8 papers). Farshid Hajati is often cited by papers focused on Machine Learning in Healthcare (11 papers), Face and Expression Recognition (10 papers) and Face recognition and analysis (8 papers). Farshid Hajati collaborates with scholars based in Australia, Iran and United Kingdom. Farshid Hajati's co-authors include Shahadat Uddin, Mohammad Ali Moni, Haohui Lu, Matloob Khushi, Alireza Rezaee, Yongsheng Gao, Alireza Rafiei, Mojtaba Golzan, Federico Girosi and Arif Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Farshid Hajati

35 papers receiving 473 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ensemble Learning for Disease Prediction: A Review

2023 151 citations Shahadat Uddin, Farshid Hajati et al. Healthcare profile →

Peers

Countries citing papers authored by Farshid Hajati

Since Specialization

Citations

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

Fields of papers citing papers by Farshid Hajati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farshid Hajati

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection 2024 ·Computers in Biology and Medicine ·(unknown), Farshid Hajati, Alireza Rezaee, (unknown), Ahmadreza Argha, Hamid Alinejad‐Rokny	4
2	Temporal dependency modeling for improved medical image segmentation: The R-UNet perspective 2024 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Farshid Hajati, (unknown), (unknown), (unknown)	2
3	A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets 2024 ·Health and Technology ·(unknown), Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni, Ergun Gide	12
4	Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis 2024 ·International Journal of Medical Informatics ·(unknown), Alireza Rezaee, Farshid Hajati, Ahmadreza Argha, Hamid Alinejad‐Rokny	3
5	Road networks and socio-demographic factors to explore COVID-19 infection during its different waves 2024 ·Scientific Reports ·Shahadat Uddin, Arif Khan, Haohui Lu, (unknown), Shakir Karim, Farshid Hajati, Mohammad Ali Moni	7
6	Autonomous assessment of spontaneous retinal venous pulsations in fundus videos using a deep learning framework 2023 ·Scientific Reports ·(unknown), Alireza Rezaee, Farshid Hajati, (unknown), Ashish Agar, Mojtaba Golzan	1
7	Ensemble Learning for Disease Prediction: A Review breakdown → 2023 ·Healthcare ·(unknown), Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni	151
8	A machine learning software tool for multiclass classification 2022 ·Software Impacts ·(unknown), Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi, Shahadat Uddin	5
9	Source Code for Optimized Parallel Inception: A Fast COVID-19 Screening Software 2022 ·Software Impacts ·(unknown), Farshid Hajati, Alireza Rezaee, (unknown), Shahadat Uddin	6
10	Fast COVID-19 versus H1N1 screening using Optimized Parallel Inception 2022 ·Expert Systems with Applications ·(unknown), Farshid Hajati, Alireza Rezaee, (unknown), Shahadat Uddin	10
11	Predictive risk modelling in mental health issues using machine learning on graphs 2022 ·Haohui Lu, Shahadat Uddin, Farshid Hajati, Matloob Khushi, Mohammad Ali Moni	0
12	SSP: Early prediction of sepsis using fully connected LSTM-CNN model 2020 ·Computers in Biology and Medicine ·Alireza Rafiei, Alireza Rezaee, Farshid Hajati, (unknown), Mojtaba Golzan	48
13	Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network 2019 ·PLoS ONE ·(unknown), Farshid Hajati, Annalisa Barla, Federico Girosi	13
14	Patterns and trends of potentially inappropriate high-density lipoprotein cholesterol testing in Australian adults at high risk of cardiovascular disease from 2008 to 2014: analysis of linked individual patient data from the Australian Medicare Benefits Schedule and Pharmaceutical Benefits Scheme 2018 ·BMJ Open ·Farshid Hajati, Evan Atlantis, Katy Bell, Federico Girosi	6
15	Surface geodesic pattern for 3D deformable texture matching 2016 ·Pattern Recognition ·Farshid Hajati, (unknown), (unknown), Yongsheng Gao, Ajmal Mian	3
16	Expression-invariant face recognition using depth and intensity dual-tree complex wavelet transform features 2015 ·Journal of Electronic Imaging ·(unknown), (unknown), Farshid Hajati	4
17	Short Term Load Forecasting using Multi-layer Perception and Fuzzy Inference Systems for Islamic Countries 2011 ·Journal of Applied Sciences ·(unknown), Farshid Hajati, (unknown), (unknown)	7
18	Pose-invariant 2.5D face recognition using Geodesic Texture Warping 2010 ·Griffith Research Online (Griffith University, Queensland, Australia) ·Farshid Hajati, (unknown), Yongsheng Gao	7
19	Face Localization Using an Effective Co-evolutionary Genetic Algorithm 2010 ·Griffith Research Online (Griffith University, Queensland, Australia) ·Farshid Hajati, Caro Lucas, Yongsheng Gao	1
20	An Efficient Method for Face Localization and Recognition in Color Images 2006 ·Farshid Hajati, Karim Faez, (unknown)	1

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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