Inam Ullah

5.7k total citations · 8 hit papers
147 papers, 3.2k citations indexed

About

Inam Ullah is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Inam Ullah has authored 147 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 34 papers in Artificial Intelligence and 32 papers in Computer Networks and Communications. Recurrent topics in Inam Ullah's work include Brain Tumor Detection and Classification (13 papers), IoT and Edge/Fog Computing (12 papers) and Underwater Vehicles and Communication Systems (11 papers). Inam Ullah is often cited by papers focused on Brain Tumor Detection and Classification (13 papers), IoT and Edge/Fog Computing (12 papers) and Underwater Vehicles and Communication Systems (11 papers). Inam Ullah collaborates with scholars based in China, South Korea and Pakistan. Inam Ullah's co-authors include Xin Su, Habib Hamam, Yazeed Yasin Ghadi, Chang Choi, Tehseen Mazhar, Inayatul Haq, Ateeq Ur Rehman, Christian Esposito, Dongmin Choi and Xiaoshan Bai and has published in prestigious journals such as Scientific Reports, Free Radical Biology and Medicine and Computers in Human Behavior.

In The Last Decade

Inam Ullah

129 papers receiving 3.1k citations

Hit Papers

Analysis of Challenges and Solutions of IoT in Smart Grid... 2023 2026 2024 2025 2023 2023 2023 2024 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inam Ullah China 33 905 741 704 464 424 147 3.2k
Osamah Ibrahim Khalaf Iraq 38 974 1.1× 873 1.2× 1.7k 2.5× 318 0.7× 398 0.9× 151 4.4k
M. Shamim Kaiser Bangladesh 32 550 0.6× 1.1k 1.5× 792 1.1× 178 0.4× 511 1.2× 191 3.9k
Xiaonan Luo China 33 821 0.9× 1.1k 1.5× 443 0.6× 347 0.7× 2.0k 4.8× 344 4.5k
Mohamed Abouhawwash Egypt 29 808 0.9× 1.6k 2.1× 652 0.9× 125 0.3× 571 1.3× 210 3.9k
Mohammad Teshnehlab Iran 33 773 0.9× 1.8k 2.4× 513 0.7× 109 0.2× 616 1.5× 285 4.2k
Naima Kaabouch United States 29 1.1k 1.2× 886 1.2× 1.4k 2.0× 90 0.2× 429 1.0× 184 3.7k
Muhammad Faheem Pakistan 29 722 0.8× 351 0.5× 754 1.1× 261 0.6× 199 0.5× 125 2.1k
S. Neelakandan India 30 519 0.6× 743 1.0× 754 1.1× 187 0.4× 360 0.8× 75 2.5k
Mohammad R. Khosravi Iran 34 872 1.0× 1.1k 1.4× 1.5k 2.1× 137 0.3× 882 2.1× 163 4.0k
Pavel Trojovský Czechia 29 992 1.1× 1.9k 2.6× 431 0.6× 120 0.3× 576 1.4× 119 4.4k

Countries citing papers authored by Inam Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Inam Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inam Ullah

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

All Works

20 of 20 papers shown
2.
Ullah, Inam, et al.. (2025). Modeling the future: Mathematical insights for smart grid 3.0. Computers & Electrical Engineering. 123. 110283–110283.
3.
Bilal, Hazrat, et al.. (2025). M-CNN-RF: A hybrid deep learning model for accurate pediatric skeletal age estimation using hand bone radiographs. Alexandria Engineering Journal. 129. 289–301. 5 indexed citations
4.
Ullah, Inam, et al.. (2025). Reinforcement Learning-Based Dynamic Power Management for Energy Optimization in IoT-Enabled Consumer Electronics. IEEE Transactions on Consumer Electronics. 71(3). 8103–8114. 1 indexed citations
5.
Ali, Ahmad, Inam Ullah, Sushil Kumar Singh, et al.. (2025). Attention-Driven Graph Convolutional Networks for Deadline-Constrained Virtual Machine Task Allocation in Edge Computing. IEEE Transactions on Consumer Electronics. 71(2). 5595–5605. 9 indexed citations
6.
Ali, Ahmad, Inam Ullah, Shabir Ahmad, et al.. (2025). An Attention-Driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 26(9). 14154–14168. 27 indexed citations breakdown →
7.
Khan, Habib Ullah, et al.. (2024). Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset. Image and Vision Computing. 149. 105195–105195. 55 indexed citations breakdown →
8.
Sharafian, Amin, Inam Ullah, Sushil Kumar Singh, et al.. (2024). Adaptive fuzzy backstepping secure control for incommensurate fractional order cyber–physical power systems under intermittent denial of service attacks. Chaos Solitons & Fractals. 186. 115288–115288. 24 indexed citations
9.
Ullah, Inam, et al.. (2024). Analysis of crude oil and gold price volatility and their correlation during socio-economic crises. Resources Policy. 98. 105311–105311. 1 indexed citations
10.
Ullah, Inam, Farhad Ali, Amin Sharafian, et al.. (2024). Optimizing underwater connectivity through multi-attribute decision-making for underwater IoT deployments using remote sensing technologies. Frontiers in Marine Science. 11. 5 indexed citations
11.
Ullah, Inam, et al.. (2024). A Cyber-Physical System Based on On-Board Diagnosis (OBD-II) for Smart City. 1(2). 49–57. 6 indexed citations
12.
Ullah, Inam, et al.. (2023). Privacy-Preserving Based Technique for Customer Churn Prediction in Telecom Industry. VFAST Transactions on Software Engineering. 11(3). 73–80. 2 indexed citations
13.
Ullah, Inam, Tamara Al Shloul, Izhar Ahmed Khan, et al.. (2023). ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networks. The Journal of Supercomputing. 80(6). 7876–7905. 26 indexed citations
14.
Ullah, Habib, Qunsheng Cao, Ijaz Khan, et al.. (2023). Angularly Stable Band Stop FSS Loaded MIMO Antenna with Enhanced Gain and Low Mutual Coupling. International Journal of Advanced Networking and Applications. 15(3). 5924–5930. 1 indexed citations
15.
Khan, Habib Ullah, et al.. (2023). Human–Computer Interaction and Participation in Software Crowdsourcing. Electronics. 12(4). 934–934. 2 indexed citations
16.
Rasheed, Zahid, Inam Ullah, Tamara Al Shloul, et al.. (2023). Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning. Brain Sciences. 13(4). 602–602. 40 indexed citations
17.
Khan, Ijaz, Qun Wu, Inam Ullah, et al.. (2022). Designed Circularly Polarized Two-Port Microstrip MIMO Antenna for WLAN Applications. Applied Sciences. 12(3). 1068–1068. 42 indexed citations
18.
Asif, Muhammad, Wali Ullah Khan, Jamel Nebhen, et al.. (2021). Reduced‐Complexity LDPC Decoding for Next‐Generation IoT Networks. Wireless Communications and Mobile Computing. 2021(1). 28 indexed citations
19.
Ullah, Inam, et al.. (2021). Resource allocation of 5G network by exploiting particle swarm optimization. Iran Journal of Computer Science. 4(3). 211–219. 12 indexed citations
20.
Su, Xin, Inam Ullah, Xiaofeng Liu, & Dongmin Choi. (2020). A Review of Underwater Localization Techniques, Algorithms, and Challenges. Journal of Sensors. 2020. 1–24. 139 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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