Sana Ullah Jan

2.1k citations

45 papers · 1.4k indexed · 1 hit paper · h-index 16

Computer Networks and Communications top 2%
Artificial Intelligence top 2%
Control and Systems Engineering top 2%
Signal Processing top 2%
Computer Vision and Pattern Recognition top 5%

Co-authors: Insoo Koo Young-Doo Lee Jungpil Shin Umer Saeed Saeed Ahmed Vladimir Shakhov Jawad Ahmad Wadii Boulila
Topics: Network Security and Intrusion Detection (11 papers)Anomaly Detection Techniques and Applications (10 papers)Fault Detection and Control Systems (8 papers)
Cited by: Signal Processing Computer Networks and Communications Control and Systems Engineering
Journals: SHILAP Revista de lepidopterologíaExpert Systems with Applications IEEE Access
Partner nations: United Kingdom South Korea Pakistan

In The Last Decade

Sana Ullah Jan

38 papers receiving 1.3k 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.

Toward a Lightweight Intrusion Detection System for the Internet of Things

2019 212 citations Sana Ullah Jan, Insoo Koo et al. IEEE Access profile →

Peers

Countries citing papers authored by Sana Ullah Jan

Since Specialization

Citations

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

Fields of papers citing papers by Sana Ullah Jan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sana Ullah Jan. 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 Sana Ullah Jan. The network helps show where Sana Ullah Jan may publish in the future.

Co-authorship network of co-authors of Sana Ullah Jan

This figure shows the co-authorship network connecting the top 25 collaborators of Sana Ullah Jan. A scholar is included among the top collaborators of Sana Ullah Jan 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 Sana Ullah Jan. Sana Ullah Jan 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	Federated Learning-Based Sensor Fault Classification in Label-Scarce Sensor Networks 2025 ·IEEE Sensors Journal ·Md. Nazmul Hasan,Sana Ullah Jan,Insoo Koo	0
2	Generative adversarial networks-enabled anomaly detection systems: A survey 2025 ·Expert Systems with Applications ·Umer Saeed,Sana Ullah Jan,Jawad Ahmad,Syed Aziz Shah,Mohammed S. Alshehri,Yazeed Yasin Ghadi,Nikolaos Pitropakis,William J. Buchanan	2
3	Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques 2025 ·Machine Learning and Knowledge Extraction ·(unknown),(unknown),William J. Buchanan,Sana Ullah Jan,Jawad Ahmad,(unknown),Nikolaos Pitropakis	3
4	A Hybrid LATAM and Few-Shot Learning Framework for Fault Diagnosis in Wireless Sensor Networks 2025 ·IEEE Sensors Journal ·(unknown),Sana Ullah Jan,Md. Nazmul Hasan,Insoo Koo	0
5	Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder 2024 ·Applied Sciences ·Md. Nazmul Hasan,Sana Ullah Jan,Insoo Koo	2
6	ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks 2024 ·Wireless Personal Communications ·(unknown),Sana Ullah Jan,Naeem Ramzan	11
7	Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time–Frequency EEG Images 2023 ·Sensors ·Shafi Ullah Khan,Sana Ullah Jan,Insoo Koo	12
8	Wasserstein GAN-Based Digital Twin-Inspired Model for Early Drift Fault Detection in Wireless Sensor Networks 2023 ·IEEE Sensors Journal ·Md. Nazmul Hasan,Sana Ullah Jan,Insoo Koo	47
9	A Hybrid Neuro-Fuzzy Approach for Heterogeneous Patch Encoding in ViTs Using Contrastive Embeddings and Deep Knowledge Dispersion 2023 ·IEEE Access ·(unknown),(unknown),Yazeed Yasin Ghadi,Sana Ullah Jan,(unknown),Monia Hamdi	4
10	BIoMT: A Blockchain-Enabled Healthcare Architecture for Information Security in the Internet of Medical Things 2023 ·Computer Systems Science and Engineering ·(unknown),Sana Ullah Jan,Daniyal Alghazzawi,(unknown),Nikolaos Pitropakis	5
11	A Systematic and Comprehensive Survey of Recent Advances in Intrusion Detection Systems Using Machine Learning: Deep Learning, Datasets, and Attack Taxonomy 2023 ·Journal of Sensors ·(unknown),Sana Ullah Jan,Naeem Ramzan	24
12	A Novel Chaos-Based Privacy-Preserving Deep Learning Model for Cancer Diagnosis 2022 ·IEEE Transactions on Network Science and Engineering ·Mujeeb Ur Rehman,Arslan Shafique,Yazeed Yasin Ghadi,Wadii Boulila,Sana Ullah Jan,Thippa Reddy Gadekallu,Maha Driss,Jawad Ahmad	53
13	IoT-Enabled Vehicle Speed Monitoring System 2022 ·Electronics ·Shafi Ullah Khan,(unknown),Sana Ullah Jan,Insoo Koo	9
14	Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing 2022 ·Sensors ·Umer Saeed,Syed Yaseen Shah,Syed Aziz Shah,Haipeng Liu,Abdullah Alhumaidi Alotaibi,Turke Althobaiti,Naeem Ramzan,Sana Ullah Jan,Jawad Ahmad,Qammer H. Abbasi	12
15	CAFD: Context-Aware Fault Diagnostic Scheme towards Sensor Faults Utilizing Machine Learning 2021 ·Sensors ·Umer Saeed,Young-Doo Lee,Sana Ullah Jan,Insoo Koo	36
16	A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT 2021 ·Sensors ·Muhammad Almas Khan,Muazzam A. Khan,Sana Ullah Jan,Jawad Ahmad,Sajjad Shaukat Jamal,Awais Aziz Shah,Nikolaos Pitropakis,William J. Buchanan	92
17	Fault diagnosis based on extremely randomized trees in wireless sensor networks 2020 ·Reliability Engineering & System Safety ·Umer Saeed,Sana Ullah Jan,Young-Doo Lee,Insoo Koo	163
18	Machine Learning-based Real-Time Sensor Drift Fault Detection using Raspberry Pi 2020 ·Edinburgh Napier Research Repository (Edinburgh Napier University) ·Umer Saeed,Sana Ullah Jan,Young-Doo Lee,Insoo Koo	16
19	Throughput Maximization Using an SVM for Multi-Class Hypothesis-Based Spectrum Sensing in Cognitive Radio 2018 ·Applied Sciences ·Sana Ullah Jan,(unknown),Insoo Koo	19
20	Presentation of Diabetic Retinopathy 2011 ·Journal of Postgraduate Medical Institute ·Muhammad Naeem Khan,(unknown),Sana Ullah Jan,(unknown)	0

About Sana Ullah Jan

Sana Ullah Jan is a scholar working on Signal Processing, Health Informatics and Computer Networks and Communications, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (11 papers), Anomaly Detection Techniques and Applications (10 papers) and Fault Detection and Control Systems (8 papers). The work is most often cited by research in Signal Processing (271 citations), Computer Networks and Communications (562 citations) and Control and Systems Engineering (393 citations). Sana Ullah Jan has collaborated with scholars based in United Kingdom, South Korea and Pakistan. Frequent co-authors include Insoo Koo, Young-Doo Lee, Jungpil Shin, Umer Saeed, Saeed Ahmed, Vladimir Shakhov, Jawad Ahmad, Wadii Boulila, William J. Buchanan and Maha Driss. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

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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