Safi Ullah

464 total citations
11 papers, 274 citations indexed

About

Safi Ullah is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Safi Ullah has authored 11 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 9 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Safi Ullah's work include Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (9 papers) and Anomaly Detection Techniques and Applications (5 papers). Safi Ullah is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (9 papers) and Anomaly Detection Techniques and Applications (5 papers). Safi Ullah collaborates with scholars based in Pakistan, Saudi Arabia and United Kingdom. Safi Ullah's co-authors include Jawad Ahmad, Muazzam A. Khan, Nikolaos Pitropakis, Anis Koubâa, Wadii Boulila, Mohammed S. Alshehri, Sajjad Shaukat Jamal, William J. Buchanan, Muhammad Hassan and Zil e Huma and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Safi Ullah

10 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Safi Ullah Pakistan	7	225	156	135	42	35	11	274
Muhammad Taimoor Khan Pakistan	8	244 1.1×	133 0.9×	126 0.9×	42 1.0×	27 0.8×	12	303
Lokesh Sharma India	6	277 1.2×	202 1.3×	135 1.0×	49 1.2×	21 0.6×	15	342
Paulo Freitas de Araujo-Filho Brazil	7	178 0.8×	147 0.9×	93 0.7×	34 0.8×	50 1.4×	13	243
Anand Mudgerikar United States	7	224 1.0×	132 0.8×	139 1.0×	40 1.0×	18 0.5×	11	266
K. Simran India	3	179 0.8×	149 1.0×	121 0.9×	20 0.5×	29 0.8×	4	256
Nazrulazhar Bahaman Malaysia	6	303 1.3×	231 1.5×	175 1.3×	31 0.7×	38 1.1×	18	367
Hsiao-Chung Lin Taiwan	10	251 1.1×	207 1.3×	136 1.0×	32 0.8×	72 2.1×	25	336
Yousef Sanjalawe Jordan	10	216 1.0×	149 1.0×	86 0.6×	37 0.9×	25 0.7×	47	305
Sarika Choudhary India	7	238 1.1×	154 1.0×	146 1.1×	31 0.7×	13 0.4×	9	276
Anil V. Turukmane India	7	123 0.5×	99 0.6×	60 0.4×	26 0.6×	18 0.5×	20	211

Countries citing papers authored by Safi Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Safi Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Safi Ullah

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

All Works

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11 of 11 papers shown

Ullah, Safi, Wadii Boulila, Anis Koubâa, & Jawad Ahmad. (2024). Attention-Based Hybrid Deep Learning Model for Intrusion Detection in IIoT Networks. Procedia Computer Science. 246. 3323–3332.

Khan, Madad, et al.. (2024). Novel complex fuzzy distance measures with hesitance values and their applications in complex decision-making problems. Scientific Reports. 14(1). 14243–14243. 4 indexed citations

Ullah, Safi, Mohammed S. Alshehri, Sultan Almakdi, et al.. (2024). SACNN‐IDS: A self‐attention convolutional neural network for intrusion detection in industrial internet of things. CAAI Transactions on Intelligence Technology. 9(6). 1398–1411. 9 indexed citations

Ullah, Safi, Wadii Boulila, Anis Koubâa, & Jawad Ahmad. (2023). MAGRU-IDS: A Multi-Head Attention-Based Gated Recurrent Unit for Intrusion Detection in IIoT Networks. IEEE Access. 11. 114590–114601. 23 indexed citations

Ullah, Safi, Jawad Ahmad, Muazzam A. Khan, et al.. (2023). TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks. Computer Networks. 237. 110072–110072. 55 indexed citations

Ullah, Safi, Jawad Ahmad, Muazzam A. Khan, et al.. (2023). Tnn-Ids: Transformer Neural Network-Based Intrusion Detection System for Mqtt-Enabled Iot Networks. SSRN Electronic Journal. 3 indexed citations

Ullah, Safi, Wadii Boulila, Anis Koubâa, Zahid A. Khan, & Jawad Ahmad. (2023). ABDNN-IDS: Attention-Based Deep Neural Networks for Intrusion Detection in Industrial IoT. 1–5. 3 indexed citations

Khan, Muazzam A., Safi Ullah, Mohammed S. Alshehri, et al.. (2023). Multi-step attack detection in industrial networks using a hybrid deep learning architecture. Mathematical Biosciences & Engineering. 20(8). 13824–13848. 6 indexed citations

Alshehri, Mohammed S., Muazzam A. Khan, Sultan Almakdi, et al.. (2023). A hybrid deep learning-based intrusion detection system for IoT networks. Mathematical Biosciences & Engineering. 20(8). 13491–13520. 39 indexed citations

10.

Ullah, Safi, Jawad Ahmad, Muazzam A. Khan, et al.. (2022). A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering. Sensors. 22(10). 3607–3607. 53 indexed citations

11.

Ullah, Safi, Muazzam A. Khan, Jawad Ahmad, et al.. (2022). HDL-IDS: A Hybrid Deep Learning Architecture for Intrusion Detection in the Internet of Vehicles. Sensors. 22(4). 1340–1340. 79 indexed citations

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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