Farzeen Ashfaq

712 total citations · 1 hit paper
20 papers, 311 citations indexed

About

Farzeen Ashfaq is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Farzeen Ashfaq has authored 20 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Farzeen Ashfaq's work include Machine Learning in Healthcare (3 papers), Traffic control and management (3 papers) and Topic Modeling (2 papers). Farzeen Ashfaq is often cited by papers focused on Machine Learning in Healthcare (3 papers), Traffic control and management (3 papers) and Topic Modeling (2 papers). Farzeen Ashfaq collaborates with scholars based in Malaysia, Saudi Arabia and India. Farzeen Ashfaq's co-authors include N. Z. Jhanjhi, Mamoona Humayun, Bader Aldughayfiq, Navid Ali Khan, Abeer D. Algarni, Rania M. Ghoniem, Abdullah Alourani, Sayan Kumar Ray, Shamneesh Sharma and Puran S. Bora and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer Networks.

In The Last Decade

Farzeen Ashfaq

13 papers receiving 301 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.

Explainable AI for Retinoblastoma Diagnosis: Interpreting Deep Learning Models with LIME and SHAP

2023 94 citations Bader Aldughayfiq, Farzeen Ashfaq et al. Diagnostics profile →

Peers

Countries citing papers authored by Farzeen Ashfaq

Since Specialization

Citations

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

Fields of papers citing papers by Farzeen Ashfaq

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farzeen Ashfaq

This figure shows the co-authorship network connecting the top 25 collaborators of Farzeen Ashfaq. A scholar is included among the top collaborators of Farzeen Ashfaq 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 Farzeen Ashfaq. Farzeen Ashfaq 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	Diabetes detection framework for imbalanced data via explainable machine learning 2025 ·AIP conference proceedings ·(unknown), (unknown), Navid Ali Khan, Sayan Kumar Ray, Farzeen Ashfaq, (unknown)	0
2	Enhancing ECG Report Generation With Domain-Specific Tokenization for Improved Medical NLP Accuracy 2025 ·IEEE Access ·Farzeen Ashfaq, N. Z. Jhanjhi, Navid Ali Khan, (unknown), Mehedi Masud, Mohammad Shorfuzzaman	1
3	A Real-Time Intelligent Surveillance System for Suspicious Behavior and Facial Emotion Analysis Using YOLOv8 and DeepFace 2025 ·SHILAP Revista de lepidopterología ·(unknown), N. Z. Jhanjhi, Humaira Ashraf, Farzeen Ashfaq, (unknown)	0
4	Improved YOLOv5 Lane Line Real Time Segmentation System Integrating Seg Head Network 2025 ·SHILAP Revista de lepidopterología ·(unknown), Navid Ali Khan, N. Z. Jhanjhi, Farzeen Ashfaq, (unknown)	0
5	Latent Structural Discovery in Clinical Texts via Transformer-Based Embeddings and Token Graphs 2025 ·SHILAP Revista de lepidopterología ·Farzeen Ashfaq, N. Z. Jhanjhi, Navid Ali Khan, (unknown), (unknown), (unknown)	0
6	A Comprehensive Review of Machine Learning Models: Principles, Applications, and Optimal Model Selection 2025 ·(unknown), N. Z. Jhanjhi, Humaira Ashraf, Sayan Kumar Ray, Farzeen Ashfaq	1
7	Blockchain-Enabled Federated Learning for Longitudinal Emergency Care 2024 ·IEEE Access ·(unknown), Farzeen Ashfaq, N. Z. Jhanjhi, Mamoona Humayun	3
8	Identification and Classification of Rare Medicinal Plants 2024 ·Puran S. Bora, Shamneesh Sharma, Isha Batra, (unknown), Farzeen Ashfaq	0
9	Towards the future of bot detection: A comprehensive taxonomical review and challenges on Twitter/X 2024 ·Computer Networks ·(unknown), N. Z. Jhanjhi, Navid Ali Khan, Sayan Kumar Ray, (unknown), Farzeen Ashfaq, (unknown)	4
10	Text Clustering on CCSI System using Canopy and K-Means Algorithm 2024 ·D. Akila, (unknown), (unknown), (unknown), Farzeen Ashfaq, Anish Khan	0
11	Student Performance Analysis to Identify the Students at Risk of Failure 2024 ·(unknown), N. Z. Jhanjhi, Farzeen Ashfaq, Navid Ali Khan, (unknown), (unknown)	0
12	BiLSTM- and GNN-Based Spatiotemporal Traffic Flow Forecasting with Correlated Weather Data 2023 ·Journal of Advanced Transportation ·Abdullah Alourani, Farzeen Ashfaq, N. Z. Jhanjhi, Navid Ali Khan	5
13	Explainable AI for Retinoblastoma Diagnosis: Interpreting Deep Learning Models with LIME and SHAP breakdown → 2023 ·Diagnostics ·Bader Aldughayfiq, Farzeen Ashfaq, N. Z. Jhanjhi, Mamoona Humayun	94
14	Capturing Semantic Relationships in Electronic Health Records Using Knowledge Graphs: An Implementation Using MIMIC III Dataset and GraphDB 2023 ·Healthcare ·Bader Aldughayfiq, Farzeen Ashfaq, N. Z. Jhanjhi, Mamoona Humayun	16
15	YOLOv5-FPN: A Robust Framework for Multi-Sized Cell Counting in Fluorescence Images 2023 ·Diagnostics ·Bader Aldughayfiq, Farzeen Ashfaq, N. Z. Jhanjhi, Mamoona Humayun	14
16	Using Dual Attention BiLSTM to Predict Vehicle Lane Changing Maneuvers on Highway Dataset 2023 ·Systems ·Farzeen Ashfaq, Rania M. Ghoniem, N. Z. Jhanjhi, Navid Ali Khan, Abeer D. Algarni	16
17	A Deep Learning Approach for Atrial Fibrillation Classification Using Multi-Feature Time Series Data from ECG and PPG 2023 ·Diagnostics ·Bader Aldughayfiq, Farzeen Ashfaq, N. Z. Jhanjhi, Mamoona Humayun	29
18	YOLO-Based Deep Learning Model for Pressure Ulcer Detection and Classification 2023 ·Healthcare ·Bader Aldughayfiq, Farzeen Ashfaq, N. Z. Jhanjhi, Mamoona Humayun	53
19	Traffic Management: Multi-Scale Vehicle Detection in Varying Weather Conditions Using YOLOv4 and Spatial Pyramid Pooling Network 2022 ·Electronics ·Mamoona Humayun, Farzeen Ashfaq, N. Z. Jhanjhi, (unknown)	68
20	DDoS Attack Detection Approaches in on Software Defined Network 2022 ·(unknown), N. Z. Jhanjhi, Navid Ali Khan, Farzeen Ashfaq	7

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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