Waseem Ullah

2.1k citations

38 papers · 1.4k indexed · 2 hit papers · h-index 15

Impact in

Computer Vision and Pattern Recognition top 2%
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications

Papers in

Computer Vision and Pattern Recognition 20
- Video Surveillance and Tracking Methods 14
- Human Pose and Action Recognition 4
Safety, Risk, Reliability and Quality 7
- Fire Detection and Safety Systems 7

Co-authors: Sung Wook Baik Tanveer Hussain Zulfiqar Ahmad Khan Amin Ullah Muhammad Sajjad Mi Young Lee Khan Muhammad Fath U Min Ullah
Journals: Expert Systems with Applications (3 papers)Image and Vision Computing (2 papers)Engineering Applications of Artificial Intelligence (2 papers)Pattern Recognition (2 papers)IEEE Internet of Things Journal (2 papers)
Partner nations: South Korea United Arab Emirates United Kingdom

In The Last Decade

Waseem Ullah

33 papers receiving 1.3k citations

Hit Papers

align trajectories log scale

A modified YOLOv5 architecture for efficient fire detection in smart cities 2023 · 83 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Expert Systems with Applications
2020 IEEE Access

Peers

Countries citing papers authored by Waseem Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Waseem Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Waseem Ullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Waseem Ullah Line = papers co-authored together Waseem Ullah links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Graph-Based Temporal Attention Network for Anomaly Recognition in Internet of Things Video Surveillance IEEE Internet of Things Journal ·Waseem Ullah, Latif U. Khan, Mohsen Guizani, Chang‐Dong Wang, Di Wu	2025	0
2	Real-time aerial fire detection on resource-constrained devices using knowledge distillation International Journal of Applied Earth Observation and Geoinformation ·Daviti Kurtsikidze, J.C. Bruneau, Waseem Ullah, Latif U. Khan, Mohsen Guizani	2025	0
3	UAV-Assisted Real-Time Disaster Detection Using Optimized Transformer Model J.C. Bruneau, Daviti Kurtsikidze, Waseem Ullah, Latif U. Khan, (unknown)	2025	0
4	Disaster Detection on the Fly: Optimized Transformers for UAVs IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·J.C. Bruneau, Daviti Kurtsikidze, Waseem Ullah, Latif U. Khan, Mohsen Guizani	2025	1
5	Class-incremental learning network for real-time anomaly recognition in surveillance environments Pattern Recognition ·M. A. Álvarez, Waseem Ullah, Noman Khan, Zulfiqar Ahmad Khan, Hikmat Yar, Sung Wook Baik	2025	0
6	Optimal features driven hybrid attention network for effective video summarization Engineering Applications of Artificial Intelligence ·Habib Khan, Samee U. Khan, Waseem Ullah, Sung Wook Baik	2025	3
7	Early progression detection from MCI to AD using multi-view MRI for enhanced assisted living Image and Vision Computing ·Nasir Rahim, Dhruv Srikanth, Waseem Ullah, Jatin Bedi, Younhyun Jung	2025	4
8	TDS-Net: Transformer enhanced dual-stream network for video Anomaly Detection Expert Systems with Applications ·M. A. Álvarez, Waseem Ullah, Noman Khan, Zulfiqar Ahmad Khan, Fernando Cañadas-Aránega, Sung Wook Baik	2024	15
9	An efficient deep learning architecture for effective fire detection in smart surveillance Image and Vision Computing ·Hikmat Yar, Zulfiqar Ahmad Khan, Imad Rida, Waseem Ullah, Fernando Cañadas-Aránega, Sung Wook Baik	2024	29
10	Optimized cross-module attention network and medium-scale dataset for effective fire detection Pattern Recognition ·Zulfiqar Ahmad Khan, Fath U Min Ullah, Hikmat Yar, Waseem Ullah, Noman Khan, Fernando Cañadas-Aránega, Sung Wook Baik	2024	6
11	Big Data Analysis for Industrial Activity Recognition Using Attention-Inspired Sequential Temporal Convolution Network IEEE Transactions on Big Data ·Altaf Hussain, Tanveer Hussain, Waseem Ullah, Samee U. Khan, Fernando Cañadas-Aránega, Khan Muhammad, Javier Del Ser, Sung Wook Baik	2024	8
12	Industrial defective chips detection using deep convolutional neural network with inverse feature matching mechanism Journal of Computational Design and Engineering ·Waseem Ullah, Samee U. Khan, Fernando Cañadas-Aránega, Altaf Hussain, Muhammad Munsif, Mi Young Lee, Tehreem Ajmal, Sung Wook Baik	2024	9
13	A modified YOLOv5 architecture for efficient fire detection in smart cities Expert Systems with Applications ·Hikmat Yar, Zulfiqar Ahmad Khan, Fath U Min Ullah, Waseem Ullah, Sung Wook Baik Hit paper breakdown →	2023	83
14	TransCNN: Hybrid CNN and transformer mechanism for surveillance anomaly detection Engineering Applications of Artificial Intelligence ·Waseem Ullah, Tanveer Hussain, Fath U Min Ullah, Mi Young Lee, Sung Wook Baik	2023	77
15	An Effective Attention-based CNN Model for Fire Detection in Adverse Weather Conditions ISPRS Journal of Photogrammetry and Remote Sensing ·Hikmat Yar, Waseem Ullah, Zulfiqar Ahmad Khan, Sung Wook Baik	2023	35
16	AD‐Graph: Weakly Supervised Anomaly Detection Graph Neural Network International Journal of Intelligent Systems ·Waseem Ullah, Tanveer Hussain, Fath U Min Ullah, Khan Muhammad, M. Hassaballah, Joel J. P. C. Rodrigues, Sung Wook Baik, Victor Hugo C. de Albuquerque	2023	6
17	Modelling Electricity Consumption During the COVID19 Pandemic: Datasets, Models, Results and a Research Agenda Energy and Buildings ·Zulfiqar Ahmad Khan, Tanveer Hussain, Amin Ullah, Waseem Ullah, Javier Del Ser, Khan Muhammad, Muhammad Sajjad, Sung Wook Baik	2023	13
18	Vision Transformer and Deep Sequence Learning for Human Activity Recognition in Surveillance Videos Computational Intelligence and Neuroscience ·Altaf Hussain, Tanveer Hussain, Waseem Ullah, Sung Wook Baik	2022	60
19	Intelligent dual stream CNN and echo state network for anomaly detection Knowledge-Based Systems ·Waseem Ullah, Tanveer Hussain, Zulfiqar Ahmad Khan, Kerri McGovern, Sung Wook Baik	2022	54
20	An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos Sensors ·Waseem Ullah, Amin Ullah, Tanveer Hussain, Zulfiqar Ahmad Khan, Sung Wook Baik	2021	102

About Waseem Ullah

Waseem Ullah is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality, Computer Networks and Communications, Artificial Intelligence and Building and Construction, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (14 papers), Anomaly Detection Techniques and Applications (14 papers), Network Security and Intrusion Detection (11 papers), Fire Detection and Safety Systems (7 papers), Energy Load and Power Forecasting (4 papers), Human Pose and Action Recognition (4 papers), Machine Learning in Bioinformatics (3 papers) and Building Energy and Comfort Optimization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (515 citations), Artificial Intelligence (652 citations), Safety, Risk, Reliability and Quality (152 citations), Computer Networks and Communications (286 citations) and Building and Construction (160 citations). Waseem Ullah has collaborated with scholars based in South Korea, United Arab Emirates and United Kingdom. Frequent co-authors include Sung Wook Baik, Tanveer Hussain, Zulfiqar Ahmad Khan, Amin Ullah, Muhammad Sajjad, Mi Young Lee, Khan Muhammad, Fath U Min Ullah, Ijaz Ul Haq and Hikmat Yar. Their work appears in journals such as Expert Systems with Applications, Image and Vision Computing, Engineering Applications of Artificial Intelligence, Pattern Recognition and IEEE Internet of Things Journal.

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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