Sana Ullah Jan

2.1k total citations · 1 hit paper
45 papers, 1.4k citations indexed

About

Sana Ullah Jan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Sana Ullah Jan has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 12 papers in Signal Processing. Recurrent topics in Sana Ullah Jan's work include Network Security and Intrusion Detection (11 papers), Anomaly Detection Techniques and Applications (10 papers) and Fault Detection and Control Systems (8 papers). Sana Ullah Jan is often cited by papers focused on Network Security and Intrusion Detection (11 papers), Anomaly Detection Techniques and Applications (10 papers) and Fault Detection and Control Systems (8 papers). Sana Ullah Jan collaborates with scholars based in United Kingdom, South Korea and Pakistan. Sana Ullah Jan's co-authors include Insoo Koo, Young-Doo Lee, Jungpil Shin, Umer Saeed, Vladimir Shakhov, Saeed Ahmed, Jawad Ahmad, Wadii Boulila, William J. Buchanan and Maha Driss and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sana Ullah Jan United Kingdom	16	562	512	393	271	195	45	1.4k
Mansour Sheikhan Iran	23	638 1.1×	719 1.4×	237 0.6×	459 1.7×	252 1.3×	88	1.8k
Qiang Li China	20	578 1.0×	404 0.8×	278 0.7×	306 1.1×	166 0.9×	173	1.9k
Ondrej Linda United States	16	269 0.5×	508 1.0×	395 1.0×	120 0.4×	91 0.5×	37	965
Ahmad Akbari Iran	18	264 0.5×	359 0.7×	128 0.3×	320 1.2×	123 0.6×	140	1.0k
Michele Scarpiniti Italy	24	445 0.8×	429 0.8×	298 0.8×	776 2.9×	389 2.0×	92	2.1k
Mansoor Zolghadri Jahromi Iran	19	193 0.3×	734 1.4×	352 0.9×	90 0.3×	261 1.3×	80	1.6k
Mohamed Zohdy United States	15	404 0.7×	369 0.7×	390 1.0×	180 0.7×	53 0.3×	175	1.2k
Anupam Shukla India	27	395 0.7×	615 1.2×	270 0.7×	114 0.4×	879 4.5×	170	2.1k
Luiz Affonso Guedes Brazil	22	817 1.5×	318 0.6×	307 0.8×	63 0.2×	177 0.9×	102	1.4k
Muhammad Tariq Pakistan	26	601 1.1×	359 0.7×	490 1.2×	137 0.5×	179 0.9×	110	2.0k

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

Saeed, Umer, Sana Ullah Jan, Jawad Ahmad, et al.. (2025). Generative adversarial networks-enabled anomaly detection systems: A survey. Expert Systems with Applications. 296. 128978–128978. 2 indexed citations

Hasan, Md. Nazmul, Sana Ullah Jan, & Insoo Koo. (2025). Federated Learning-Based Sensor Fault Classification in Label-Scarce Sensor Networks. IEEE Sensors Journal. 25(17). 33245–33264.

Buchanan, William J., et al.. (2025). Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques. Machine Learning and Knowledge Extraction. 7(2). 31–31. 3 indexed citations

Jan, Sana Ullah, et al.. (2025). A Hybrid LATAM and Few-Shot Learning Framework for Fault Diagnosis in Wireless Sensor Networks. IEEE Sensors Journal. 25(23). 43102–43116.

Hasan, Md. Nazmul, Sana Ullah Jan, & Insoo Koo. (2024). Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder. Applied Sciences. 14(17). 7717–7717. 2 indexed citations

Jan, Sana Ullah, et al.. (2024). ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks. Wireless Personal Communications. 136(4). 1981–2003. 11 indexed citations

Ahmad, Jawad, et al.. (2024). A Hybrid Neural Network with Smart Skip Connections for High-Precision, Low-Latency EMG-Based Hand Gesture Recognition. 1–6.

Ghadi, Yazeed Yasin, et al.. (2023). A Hybrid Neuro-Fuzzy Approach for Heterogeneous Patch Encoding in ViTs Using Contrastive Embeddings and Deep Knowledge Dispersion. IEEE Access. 11. 83171–83186. 4 indexed citations

Hasan, Md. Nazmul, Sana Ullah Jan, & Insoo Koo. (2023). Wasserstein GAN-Based Digital Twin-Inspired Model for Early Drift Fault Detection in Wireless Sensor Networks. IEEE Sensors Journal. 23(12). 13327–13339. 47 indexed citations

10.

Khan, Shafi Ullah, Sana Ullah Jan, & Insoo Koo. (2023). Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time–Frequency EEG Images. Sensors. 23(23). 9572–9572. 12 indexed citations

11.

Jan, Sana Ullah, et al.. (2023). A Systematic and Comprehensive Survey of Recent Advances in Intrusion Detection Systems Using Machine Learning: Deep Learning, Datasets, and Attack Taxonomy. Journal of Sensors. 2023(1). 24 indexed citations

12.

Jan, Sana Ullah, et al.. (2023). BIoMT: A Blockchain-Enabled Healthcare Architecture for Information Security in the Internet of Medical Things. Computer Systems Science and Engineering. 46(3). 3667–3684. 5 indexed citations

13.

Khan, Shafi Ullah, et al.. (2022). IoT-Enabled Vehicle Speed Monitoring System. Electronics. 11(4). 614–614. 9 indexed citations

14.

Rehman, Mujeeb Ur, Arslan Shafique, Yazeed Yasin Ghadi, et al.. (2022). A Novel Chaos-Based Privacy-Preserving Deep Learning Model for Cancer Diagnosis. IEEE Transactions on Network Science and Engineering. 9(6). 4322–4337. 53 indexed citations

15.

Saeed, Umer, Syed Yaseen Shah, Syed Aziz Shah, et al.. (2022). Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing. Sensors. 22(3). 809–809. 12 indexed citations

16.

Saeed, Umer, Young-Doo Lee, Sana Ullah Jan, & Insoo Koo. (2021). CAFD: Context-Aware Fault Diagnostic Scheme towards Sensor Faults Utilizing Machine Learning. Sensors. 21(2). 617–617. 36 indexed citations

17.

Khan, Muhammad Almas, Muazzam A. Khan, Sana Ullah Jan, et al.. (2021). A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT. Sensors. 21(21). 7016–7016. 92 indexed citations

18.

Saeed, Umer, Sana Ullah Jan, Young-Doo Lee, & Insoo Koo. (2020). Fault diagnosis based on extremely randomized trees in wireless sensor networks. Reliability Engineering & System Safety. 205. 107284–107284. 163 indexed citations

19.

Saeed, Umer, Sana Ullah Jan, Young-Doo Lee, & Insoo Koo. (2020). Machine Learning-based Real-Time Sensor Drift Fault Detection using Raspberry Pi. Edinburgh Napier Research Repository (Edinburgh Napier University). 1–7. 16 indexed citations

20.

Khan, Muhammad Naeem, et al.. (2011). Presentation of Diabetic Retinopathy. Journal of Postgraduate Medical Institute. 17(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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