Sharjil Saeed

975 total citations
23 papers, 749 citations indexed

About

Sharjil Saeed is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sharjil Saeed has authored 23 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Artificial Intelligence and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sharjil Saeed's work include EEG and Brain-Computer Interfaces (9 papers), Heart Rate Variability and Autonomic Control (5 papers) and Fractal and DNA sequence analysis (4 papers). Sharjil Saeed is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Heart Rate Variability and Autonomic Control (5 papers) and Fractal and DNA sequence analysis (4 papers). Sharjil Saeed collaborates with scholars based in Pakistan, Saudi Arabia and United States. Sharjil Saeed's co-authors include Lal Hussain, Imtiaz Ahmed Awan, Wajid Aziz, Hyuncheol Seo, Anand Paul, Won‐Hwa Hong, M. Mazhar Rathore, Adnan Idris, Saima Rathore and Malik Sajjad Ahmed Nadeem and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Sharjil Saeed

23 papers receiving 727 citations

Peers

Countries citing papers authored by Sharjil Saeed

Since Specialization

Citations

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

Fields of papers citing papers by Sharjil Saeed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharjil Saeed

This figure shows the co-authorship network connecting the top 25 collaborators of Sharjil Saeed. A scholar is included among the top collaborators of Sharjil Saeed 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 Sharjil Saeed. Sharjil Saeed 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	Detecting basic human activities and postural transition using robust machine learning techniques by applying dimensionality reduction methods 2021 ·Waves in Random and Complex Media ·Kashif Javed Lone, Lal Hussain, Sharjil Saeed, (unknown), Asim Maqbool, (unknown)	4
2	Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques 2020 ·BioMed Research International ·Lal Hussain, Imtiaz Ahmed Awan, Wajid Aziz, Sharjil Saeed, Amjad Ali, (unknown), Kyung Sup Kwak	64
3	Extracting mass concentration time series features for classification of indoor and outdoor atmospheric particulates 2020 ·Acta Geophysica ·Lal Hussain, Wajid Aziz, Sharjil Saeed, Muhammad Rafique, Malik Sajjad Ahmed Nadeem, Seong‐O Shim, (unknown), (unknown)	5
4	Automated lung cancer detection based on multimodal features extracting strategy using machine learning techniques 2019 ·Lal Hussain, Saima Rathore, Adeel Abbasi, Sharjil Saeed	18
5	Detecting Brain Tumor using Machines Learning Techniques Based on Different Features Extracting Strategies 2019 ·Current Medical Imaging Formerly Current Medical Imaging Reviews ·Lal Hussain, Sharjil Saeed, Imtiaz Ahmed Awan, Adnan Idris, Malik Sajjad Ahmed Nadeem, (unknown)	47
6	Studying the dynamics of interbeat interval time series of healthy and congestive heart failure subjects using scale based symbolic entropy analysis 2018 ·PLoS ONE ·Imtiaz Ahmed Awan, Wajid Aziz, (unknown), (unknown), Jalal S. Alowibdi, Sharjil Saeed, Malik Sajjad Ahmed Nadeem, (unknown)	27
7	Enhancement and Assessment of a Code-Analysis-Based Energy Estimation Framework 2018 ·IEEE Systems Journal ·Raja Wasim Ahmad, Anjum Naveed, Joel J. P. C. Rodrigues, Abdullah Gani, Sajjad A. Madani, Junaid Shuja, Tahir Maqsood, Sharjil Saeed	7
8	Automated Breast Cancer Detection Using Machine Learning Techniques by Extracting Different Feature Extracting Strategies 2018 ·Lal Hussain, Wajid Aziz, Sharjil Saeed, Saima Rathore, Muhammad Rafique	39
9	Multiscaled Complexity Analysis of EEG Epileptic Seizure Using Entropy-Based Techniques 2018 ·Archives of Neuroscience ·Lal Hussain, Sharjil Saeed, Imtiaz Ahmed Awan, Adnan Idris	23
10	Arrhythmia detection by extracting hybrid features based on refined Fuzzy entropy (FuzEn) approach and employing machine learning techniques 2018 ·Waves in Random and Complex Media ·Lal Hussain, Wajid Aziz, Sharjil Saeed, Imtiaz Ahmed Awan, Adeel Abbasi, (unknown)	17
11	Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images 2018 ·IEEE Access ·Lal Hussain, Amjad Ali, Saima Rathore, Sharjil Saeed, Adnan Idris, (unknown), Muhammad Aksam Iftikhar, Doug Young Suh	19
12	Coupling Functions between Brain Waves: Significance of Opened/Closed Eyes 2017 ·SHILAP Revista de lepidopterología ·Lal Hussain, Wajid Aziz, Sharjil Saeed	1
13	Complexity analysis of EEG motor movement with eye open and close subjects using multiscale permutation entropy (MPE) technique 2017 ·Biomedical Research-tokyo ·Lal Hussain, Wajid Aziz, Sharjil Saeed, Saeed Arif Shah, Malik Sajjad Ahmed Nadeem, Imtiaz Ahmed Awan, (unknown), Abdul Majid, (unknown)	23
14	Symbolic time series analysis of electroencephalographic (EEG) epileptic seizure and brain dynamics with eye-open and eye-closed subjects during resting states 2017 ·Journal of PHYSIOLOGICAL ANTHROPOLOGY ·Lal Hussain, Wajid Aziz, Jalal S. Alowibdi, (unknown), Muhammad Rafique, Sharjil Saeed, (unknown)	42
15	Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies 2017 ·Cancer Biomarkers ·Lal Hussain, (unknown), Sharjil Saeed, Saima Rathore, Imtiaz Ahmed Awan, Saeed Arif Shah, Abdul Majid, Adnan Idris, (unknown)	74
16	Exploiting IoT and big data analytics: Defining Smart Digital City using real-time urban data 2017 ·Sustainable Cities and Society ·M. Mazhar Rathore, Anand Paul, Won‐Hwa Hong, Hyuncheol Seo, (unknown), Sharjil Saeed	254
17	Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithm 2017 ·Biomedizinische Technik/Biomedical Engineering ·Lal Hussain, Wajid Aziz, Sharjil Saeed, Saeed Arif Shah, Malik Sajjad Ahmed Nadeem, Imtiaz Ahmed Awan, (unknown), Abdul Majid, (unknown)	23
18	Online Cloud-Based Battery Lifetime Estimation Framework for Smartphone Devices 2017 ·Procedia Computer Science ·Raja Wasim Ahmad, (unknown), Sharjil Saeed, Yang Sun Lee, Kwangman Ko, Yunsik Son	6
19	Quantification of Non-Linear Dynamics and Chaos of Ambient Particulate Matter Concentrations in Muzaffarabad City 2016 ·Aerosol and Air Quality Research ·Sharjil Saeed, Wajid Aziz, Muhammad Rafique, Imtiaz Ahmad, Kimberlee J. Kearfott, (unknown)	9
20	Comparative study of multiscale entropy analysis and symbolic time series analysis when applied to human gait dynamics 2013 ·(unknown), Wajid Aziz, Sharjil Saeed, Imtiaz Ahmed, Lal Hussain	16

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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