Umer Saeed

654 total citations
21 papers, 404 citations indexed

About

Umer Saeed is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Umer Saeed has authored 21 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 7 papers in Electrical and Electronic Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Umer Saeed's work include Non-Invasive Vital Sign Monitoring (8 papers), Indoor and Outdoor Localization Technologies (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Umer Saeed is often cited by papers focused on Non-Invasive Vital Sign Monitoring (8 papers), Indoor and Outdoor Localization Technologies (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Umer Saeed collaborates with scholars based in United Kingdom, South Korea and Saudi Arabia. Umer Saeed's co-authors include Insoo Koo, Sana Ullah Jan, Young-Doo Lee, Qammer H. Abbasi, Syed Aziz Shah, Syed Yaseen Shah, Abdullah Alhumaidi Alotaibi, Naeem Ramzan, Turke Althobaiti and Jawad Ahmad and has published in prestigious journals such as Expert Systems with Applications, Sensors and Reliability Engineering & System Safety.

In The Last Decade

Umer Saeed

19 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Umer Saeed United Kingdom	10	122	107	91	83	80	21	404
Soumya Prakash Rana United Kingdom	13	163 1.3×	44 0.4×	137 1.5×	42 0.5×	82 1.0×	34	487
Hisham ElMoaqet Jordan	12	88 0.7×	73 0.7×	68 0.7×	22 0.3×	56 0.7×	44	459
Ahmed Mudheher Hasan Iraq	13	70 0.6×	86 0.8×	64 0.7×	48 0.6×	117 1.5×	27	461
Maitreyee Dey United Kingdom	12	155 1.3×	45 0.4×	140 1.5×	24 0.3×	70 0.9×	26	414
Ranyang Li China	6	43 0.4×	56 0.5×	83 0.9×	33 0.4×	71 0.9×	10	360
Meimei Huo China	11	31 0.3×	38 0.4×	101 1.1×	63 0.8×	70 0.9×	34	337
Weigong Zhang China	15	70 0.6×	191 1.8×	87 1.0×	58 0.7×	69 0.9×	69	652
Bartłomiej Płaczek Poland	11	26 0.2×	112 1.0×	124 1.4×	118 1.4×	44 0.6×	37	395
Anam Abid Pakistan	12	71 0.6×	311 2.9×	52 0.6×	29 0.3×	95 1.2×	24	570

Countries citing papers authored by Umer Saeed

Since Specialization

Citations

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

Fields of papers citing papers by Umer Saeed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umer Saeed

This figure shows the co-authorship network connecting the top 25 collaborators of Umer Saeed. A scholar is included among the top collaborators of Umer 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 Umer Saeed. Umer 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

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

Saeed, Umer, et al.. (2025). A Conditional GAN and Dual-Channel Hybrid Deep Feature Framework for Robust Sensor Fault Detection in WSNs. University of Bedfordshire Repository (University of Bedfordshire). 1–5.

Saeed, Umer, et al.. (2025). Robust Sensor Fault Detection in Wireless Sensor Networks Using a Hybrid Conditional Generative Adversarial Networks and Convolutional Autoencoder. IEEE Sensors Journal. 25(8). 13912–13926. 1 indexed citations

Khan, Shafi Ullah, et al.. (2024). Auscultation-Based Pulmonary Disease Detection through Parallel Transformation and Deep Learning. Bioengineering. 11(6). 586–586. 10 indexed citations

Saeed, Umer, et al.. (2024). FedLSTM: A Federated Learning Framework for Sensor Fault Detection in Wireless Sensor Networks. Electronics. 13(24). 4907–4907. 8 indexed citations

Saeed, Umer, et al.. (2024). British Sign Language Detection Using Ultra-Wideband Radar Sensing and Residual Neural Network. IEEE Sensors Journal. 24(7). 11144–11151. 1 indexed citations

Farooq, M., et al.. (2024). RF-Based Respiration Disorders Sensing and Classification Using Machine Algorithms. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1881–1882.

Saeed, Umer, Syed Aziz Shah, Abdullah Alhumaidi Alotaibi, et al.. (2023). Software-Defined Radio-Based Contactless Localization for Diverse Human Activity Recognition. IEEE Sensors Journal. 23(11). 12041–12048. 9 indexed citations

Saeed, Umer, et al.. (2023). Extracting Visual Micro-Doppler Signatures From Human Lips Motion Using UoG Radar Sensing Data for Hearing Aid Applications. IEEE Sensors Journal. 23(19). 22111–22118. 3 indexed citations

10.

Saeed, Umer, Dingchang Zheng, Sana Ullah Jan, et al.. (2023). Contactless Breathing Waveform Detection Through RF Sensing: Radar vs. Wi-Fi Techniques. Pure (Coventry University). 1–10. 2 indexed citations

11.

Saeed, Umer, Syed Aziz Shah, Abdullah Alhumaidi Alotaibi, et al.. (2022). Intelligent Reflecting Surface-Based Non-LOS Human Activity Recognition for Next-Generation 6G-Enabled Healthcare System. Sensors. 22(19). 7175–7175. 14 indexed citations

12.

Saeed, Umer, Qammer H. Abbasi, & Syed Aziz Shah. (2022). AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 4(4). 381–392. 9 indexed citations

13.

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

14.

Saeed, Umer, et al.. (2022). UWB Radar Sensing for Respiratory Monitoring Exploiting Time- Frequency Spectrograms. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 136–141. 6 indexed citations

15.

Saeed, Umer, Syed Yaseen Shah, Adnan Zahid, et al.. (2021). Wireless Channel Modelling for Identifying Six Types of Respiratory Patterns With SDR Sensing and Deep Multilayer Perceptron. IEEE Sensors Journal. 21(18). 20833–20840. 28 indexed citations

16.

Saeed, Umer, Syed Yaseen Shah, Abdullah Alhumaidi Alotaibi, et al.. (2021). Portable UWB RADAR Sensing System for Transforming Subtle Chest Movement Into Actionable Micro-Doppler Signatures to Extract Respiratory Rate Exploiting ResNet Algorithm. IEEE Sensors Journal. 21(20). 23518–23526. 33 indexed citations

17.

Saeed, Umer, Syed Yaseen Shah, Syed Aziz Shah, et al.. (2021). Discrete Human Activity Recognition and Fall Detection by Combining FMCW RADAR Data of Heterogeneous Environments for Independent Assistive Living. Electronics. 10(18). 2237–2237. 45 indexed citations

18.

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

19.

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

20.

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

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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