Khursheed Aurangzeb

4.7k total citations · 1 hit paper
185 papers, 2.9k citations indexed

About

Khursheed Aurangzeb is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Khursheed Aurangzeb has authored 185 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Electrical and Electronic Engineering, 39 papers in Artificial Intelligence and 32 papers in Computer Networks and Communications. Recurrent topics in Khursheed Aurangzeb's work include Smart Grid Energy Management (27 papers), Energy Load and Power Forecasting (19 papers) and AI in cancer detection (15 papers). Khursheed Aurangzeb is often cited by papers focused on Smart Grid Energy Management (27 papers), Energy Load and Power Forecasting (19 papers) and AI in cancer detection (15 papers). Khursheed Aurangzeb collaborates with scholars based in Saudi Arabia, Pakistan and South Korea. Khursheed Aurangzeb's co-authors include Musaed Alhussein, Syed Irtaza Haider, Nadeem Javaid, Muhammad Attique Khan, Sheraz Aslam, Muhammad Shahid Anwar, Muhammad Sharif, Adia Khalid, Muhammad Imran Sharif and Mudassar Raza and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and IEEE Access.

In The Last Decade

Khursheed Aurangzeb

161 papers receiving 2.8k 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.

Hybrid CNN-LSTM Model for Short-Term Individual Household Load Forecasting

2020 327 citations Musaed Alhussein, Khursheed Aurangzeb 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
Khursheed Aurangzeb Saudi Arabia	28	1.3k	581	501	439	329	185	2.9k
Musaed Alhussein Saudi Arabia	31	1.0k 0.8×	749 1.3×	587 1.2×	339 0.8×	405 1.2×	146	3.2k
Navid Razmjooy Iran	39	1.5k 1.2×	1.2k 2.1×	586 1.2×	613 1.4×	429 1.3×	87	4.1k
Yung-Cheol Byun South Korea	29	674 0.5×	596 1.0×	442 0.9×	285 0.6×	145 0.4×	158	2.8k
Yassine Himeur United Arab Emirates	36	1.1k 0.9×	1.1k 1.9×	620 1.2×	400 0.9×	170 0.5×	178	3.9k
Inam Ullah China	33	905 0.7×	741 1.3×	424 0.8×	291 0.7×	276 0.8×	147	3.2k
Saif ul Islam Pakistan	31	1.1k 0.9×	362 0.6×	282 0.6×	338 0.8×	132 0.4×	112	2.9k
B. D. Parameshachari India	32	608 0.5×	631 1.1×	566 1.1×	148 0.3×	150 0.5×	162	2.7k
Ahmed Alkhayyat Iraq	29	863 0.7×	676 1.2×	533 1.1×	227 0.5×	104 0.3×	419	3.4k
Amin Ullah South Korea	34	1.2k 0.9×	2.0k 3.5×	2.4k 4.8×	215 0.5×	269 0.8×	68	4.8k
Abdellah Chehri Canada	27	1.2k 1.0×	490 0.8×	399 0.8×	230 0.5×	132 0.4×	243	3.0k

Countries citing papers authored by Khursheed Aurangzeb

Since Specialization

Citations

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

Fields of papers citing papers by Khursheed Aurangzeb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khursheed Aurangzeb

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

Bandyopadhyay, Anjan, et al.. (2025). Intelligent VANET-based traffic signal control system for emergency vehicle prioritization and improved traffic management. Egyptian Informatics Journal. 30. 100700–100700. 1 indexed citations

Budhathoki, Ram Kaji, et al.. (2025). DOMSCNet: a deep learning model for the classification of stomach cancer using multi-layer omics data. Briefings in Bioinformatics. 26(2). 4 indexed citations

Tanveer, Jawad, et al.. (2025). A comprehensive survey of golden jacal optimization and its applications. Computer Science Review. 56. 100733–100733.

Xue, Yu, et al.. (2025). MD-EGAN: Evolutionary GAN with dynamic latent sampling and relative adaptive discriminator for improved performance. Neurocomputing. 664. 131951–131951.

Iqbal, Saeed, et al.. (2025). A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease. Expert Systems. 42(2). 5 indexed citations

Rahmani, Amir Masoud, Amir Haider, Khursheed Aurangzeb, et al.. (2025). A novel cylindrical filtering-based greedy perimeter stateless routing scheme in flying ad hoc networks. Vehicular Communications. 52. 100879–100879. 6 indexed citations

Hosseinzadeh, Mehdi, Amir Haider, Amir Masoud Rahmani, et al.. (2025). A Q-learning-based trust model in underwater acoustic sensor networks (UASNs). Ad Hoc Networks. 178. 103918–103918.

Lilhore, Umesh Kumar, et al.. (2024). Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis. BMC Medical Informatics and Decision Making. 24(1). 236–236. 3 indexed citations

Alhussein, Musaed, et al.. (2024). AI-Driven Resource and Communication-Aware Virtual Machine Placement Using Multi-Objective Swarm Optimization for Enhanced Efficiency in Cloud-Based Smart Manufacturing. Computers, materials & continua/Computers, materials & continua (Print). 81(3). 4743–4756. 1 indexed citations

10.

Ayesha, Ayesha, et al.. (2024). Enhancing grid flexibility with coordinated battery storage and smart transmission technologies. Journal of Energy Storage. 100. 113607–113607. 1 indexed citations

11.

Ullah, Khalil, et al.. (2024). Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages. PeerJ Computer Science. 10. e2163–e2163.

12.

Alhussein, Musaed, et al.. (2024). Breast Cancer Survival Prediction Modeling Based on Genomic Data: An Improved Prognosis-Driven Deep Learning Approach. IEEE Access. 12. 119502–119519. 2 indexed citations

13.

Hanif, Muhammad, Ahmar Rashid, Khursheed Aurangzeb, et al.. (2024). An Optimized Data and Model Centric Approach for Multi-Class Automated Urine Sediment Classification. IEEE Access. 12. 59500–59520. 3 indexed citations

14.

Alhussein, Musaed, et al.. (2023). Robust Approach for Global Stabilization of a Class of Underactuated Mechanical Systems in Presence of Uncertainties. Complexity. 2023. 1–21. 3 indexed citations

15.

Aurangzeb, Khursheed, et al.. (2023). Integrating renewable energy sources for optimal demand-side management using decentralized multi-agent control. Sustainable Energy Grids and Networks. 36. 101193–101193. 3 indexed citations

16.

Ali, Amjad, Musaed Alhussein, Khursheed Aurangzeb, & Fazal Akbar. (2023). The numerical analysis of Al2O3Cu/water hybrid nanofluid flow inside the serpentine absorber channel of a PVT; the overall efficiency intelligent forecasting. Engineering Analysis with Boundary Elements. 157. 82–91. 12 indexed citations

17.

Iqbal, Saeed, Adnan N. Qureshi, Musaed Alhussein, Khursheed Aurangzeb, & Muhammad Shahid Anwar. (2023). AD-CAM: Enhancing Interpretability of Convolutional Neural Networks With a Lightweight Framework - From Black Box to Glass Box. IEEE Journal of Biomedical and Health Informatics. 28(1). 514–525. 17 indexed citations

18.

Hanif, Muhammad, et al.. (2023). Discriminative Dictionary Learning Using Penalized Rank-1 Approximation for Breast Cancer Classification With Imbalanced Dataset. IEEE Access. 12. 5837–5850. 2 indexed citations

19.

Aurangzeb, Khursheed, et al.. (2022). An Efficient and Light Weight Deep Learning Model for Accurate Retinal Vessels Segmentation. IEEE Access. 11. 23107–23118. 21 indexed citations

20.

Naqvi, Syed Rameez, et al.. (2019). Towards Designing Asynchronous Microprocessors: From Specification to Tape-Out. IEEE Access. 7. 33978–34003. 9 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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