Amin Ullah

6.9k citations

67 papers · 4.9k · 4 hit papers · h-index 33

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
Neurology top 1%
- Brain Tumor Detection and Classification

Papers in

Computer Vision and Pattern Recognition 41
- Video Surveillance and Tracking Methods 20
- Human Pose and Action Recognition 19
- Video Analysis and Summarization 7
- Advanced Image and Video Retrieval Techniques 5
Artificial Intelligence 22
- Anomaly Detection Techniques and Applications 18

Co-authors: Sung Wook Baik (39 shared papers)Khan Muhammad (28 shared papers)Muhammad Sajjad (18 shared papers)Ijaz Ul Haq (15 shared papers)Tanveer Hussain (15 shared papers)Victor Hugo C. de Albuquerque (11 shared papers)Mi Young Lee (16 shared papers)Waseem Ullah (10 shared papers)
Journals: IEEE Access (7 papers)Sensors (7 papers)IEEE Internet of Things Journal (5 papers)Multimedia Tools and Applications (4 papers)Future Generation Computer Systems (3 papers)
Partner nations: South Korea Pakistan United States

In The Last Decade

Amin Ullah

64 papers receiving 4.7k citations

Amin Ullah's Hit Papers

align trajectories log scale

A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting 2020 · 380 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.

2020 IEEE Access
2020 IEEE Transactions on Intelligent Transportation Systems
2018 Journal of Computational Science
2017 IEEE Access

Peers

Countries citing papers authored by Amin Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Amin Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amin 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 Amin Ullah Line = papers co-authored together Amin Ullah links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Multi-grade brain tumor classification using deep CNN with extensive data augmentation Journal of Computational Science ·Muhammad Sajjad, Salman Khan, Khan Muhammad, Wanqing Wu, Amin Ullah, Sung Wook Baik Hit paper breakdown →	2018	620
2	Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features IEEE Access ·Amin Ullah, Jamil Ahmad, Khan Muhammad, Muhammad Sajjad, Sung Wook Baik Hit paper breakdown →	2017	551
3	A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting IEEE Access ·Muhammad Sajjad, Zulfiqar Ahmad Khan, Amin Ullah, Tanveer Hussain, Waseem Ullah, Mi Young Lee, Sung Wook Baik Hit paper breakdown →	2020	380
4	Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions IEEE Transactions on Intelligent Transportation Systems ·Khan Muhammad, Amin Ullah, Jaime Lloret, Javier Del Ser, Victor Hugo C. de Albuquerque Hit paper breakdown →	2020	378
5	CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks Multimedia Tools and Applications ·Waseem Ullah, Amin Ullah, Ijaz Ul Haq, Khan Muhammad, Muhammad Sajjad, Sung Wook Baik	2020	198
6	Human action recognition using attention based LSTM network with dilated CNN features Future Generation Computer Systems ·Khan Muhammad, Mustaqeem Mustaqeem, Amin Ullah, Ali Shariq Imran, Muhammad Sajjad, Mustafa Servet Kıran, Giovanna Sannino, Victor Hugo C. de Albuquerque	2021	175
7	Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network Sensors ·Fath U Min Ullah, Amin Ullah, Khan Muhammad, Ijaz Ul Haq, Sung Wook Baik	2019	170
8	Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework Sensors ·Zulfiqar Ahmad Khan, Tanveer Hussain, Amin Ullah, Seungmin Rho, Mi Young Lee, Sung Wook Baik	2020	163
9	Short-Term Prediction of Residential Power Energy Consumption via CNN and Multi-Layer Bi-Directional LSTM Networks IEEE Access ·Fath U Min Ullah, Amin Ullah, Ijaz Ul Haq, Seungmin Rho, Sung Wook Baik	2019	155
10	Activity Recognition Using Temporal Optical Flow Convolutional Features and Multilayer LSTM IEEE Transactions on Industrial Electronics ·Amin Ullah, Khan Muhammad, Javier Del Ser, Sung Wook Baik, Victor Hugo C. de Albuquerque	2018	150
11	Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments Future Generation Computer Systems ·Amin Ullah, Khan Muhammad, Ijaz Ul Haq, Sung Wook Baik	2019	135
12	Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications Applied Soft Computing ·Amin Ullah, Khan Muhammad, Weiping Ding, Vasile Palade, Ijaz Ul Haq, Sung Wook Baik	2021	123
13	Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM IEEE Transactions on Industrial Informatics ·Tanveer Hussain, Khan Muhammad, Amin Ullah, Zehong Cao, Sung Wook Baik, Victor Hugo C. de Albuquerque	2019	116
14	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	110
15	Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data Future Generation Computer Systems ·Waseem Ullah, Amin Ullah, Tanveer Hussain, (unknown), Ali Asghar Heidari, Javier Del Ser, Sung Wook Baik, Victor Hugo C. de Albuquerque	2021	104
16	A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images IEEE Access ·Siraj M. Khan, Muhammad Sajjad, Tanveer Hussain, Amin Ullah, Ali Shariq Imran	2020	98
17	Efficient Short-Term Electricity Load Forecasting for Effective Energy Management Sustainable Energy Technologies and Assessments ·Zulfiqar Ahmad Khan, Amin Ullah, Ijaz Ul Haq, Mohamed S. Hamdy, Gerardo Maria Mauro, Khan Muhammad, Mohammad Hijji, Sung Wook Baik	2022	90
18	Batteries State of Health Estimation via Efficient Neural Networks With Multiple Channel Charging Profiles IEEE Access ·Noman Khan, Fath U Min Ullah, Afnan Afnan, Amin Ullah, Mi Young Lee, Sung Wook Baik	2020	79
19	Electrical Energy Prediction in Residential Buildings for Short-Term Horizons Using Hybrid Deep Learning Strategy Applied Sciences ·Zulfiqar Ahmad Khan, Amin Ullah, Waseem Ullah, Seungmin Rho, Mi Young Lee, Sung Wook Baik	2020	69
20	Human Behavior Understanding in Big Multimedia Data Using CNN based Facial Expression Recognition Mobile Networks and Applications ·Muhammad Sajjad, Sana Zahir, Amin Ullah, Zahid Akhtar, Khan Muhammad	2019	67

About Amin Ullah

Amin Ullah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Building and Construction and Computer Networks and Communications, having authored 67 papers that have together received 4.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (20 papers), Human Pose and Action Recognition (19 papers), Anomaly Detection Techniques and Applications (18 papers), Energy Load and Power Forecasting (11 papers), Video Analysis and Summarization (7 papers), Smart Grid Energy Management (7 papers), Traffic Prediction and Management Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Neurology (523 citations), Artificial Intelligence (2.0k citations), Building and Construction (471 citations) and Human-Computer Interaction (150 citations). Amin Ullah has collaborated with scholars based in South Korea, Pakistan and United States. Frequent co-authors include Sung Wook Baik, Khan Muhammad, Muhammad Sajjad, Ijaz Ul Haq, Tanveer Hussain, Victor Hugo C. de Albuquerque, Mi Young Lee, Waseem Ullah, Zulfiqar Ahmad Khan and Javier Del Ser. Their work appears in journals such as IEEE Access, Sensors, IEEE Internet of Things Journal, Multimedia Tools and Applications and Future Generation Computer Systems.

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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