Inam Ullah

135 papers receiving 3.4k citations

Inam Ullah's Hit Papers

An Attention-Driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systems 2025 · 36 citations
360+1+2Years since publication255075100

Peers

Inam Ullah
Comparison fields: 5 of 162
  • Neurology 293
  • Health Information Management 136
  • Computer Networks and Communications 722
  • Ocean Engineering 474
  • Health Informatics 36
Replace Osamah Ibrahim Khalaf with:
Osamah Ibrahim Khalaf Iraq
M. Shamim Kaiser Bangladesh
Xiao‐Zhi Gao Finland
Irfan Mehmood South Korea
Musaed Alhussein Saudi Arabia
Mohammad R. Khosravi Iran
Mukesh Prasad Australia
Youseef Alotaibi Saudi Arabia
Mohammad Teshnehlab Iran
Khursheed Aurangzeb Saudi Arabia
Inam Ullah relative to Osamah Ibrahim Khalaf Iraq Osamah Ibrahim Khalaf's profile →
Citations per field
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Osamah Ibrahim Khalaf · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019157
2 2020139
3 2019128
4
Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review
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2023119
5 2019112
6
Analysis of Cyber Security Attacks and Its Solutions for the Smart grid Using Machine Learning and Blockchain Methods
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2023106
7 202198
8
Analysis of IoT Security Challenges and Its Solutions Using Artificial Intelligence
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202396
9 202192
10 201976
11 202374
12
A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems
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202469
13 202365
14 202265
15
Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset
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202462
16 201959
17
Mobile robot localization: Current challenges and future prospective
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202459
18 202059
19 202157
20 202254

About Inam Ullah

Inam Ullah is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 150 papers that have together received 3.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (12 papers), Brain Tumor Detection and Classification (12 papers), Underwater Vehicles and Communication Systems (11 papers), Blockchain Technology Applications and Security (9 papers), Artificial Intelligence in Healthcare (9 papers), EEG and Brain-Computer Interfaces (8 papers), AI in cancer detection (8 papers) and Network Security and Intrusion Detection (8 papers). The work is most often cited by research in Neurology (293 citations), Health Information Management (136 citations), Computer Networks and Communications (722 citations), Ocean Engineering (474 citations) and Health Informatics (36 citations). Inam Ullah has collaborated with scholars based in China, South Korea and Pakistan. Frequent co-authors include Xin Su, Habib Hamam, Yazeed Yasin Ghadi, Chang Choi, Tehseen Mazhar, Inayatul Haq, Ateeq Ur Rehman, Xiaoshan Bai, Christian Esposito and Dongmin Choi. Their work appears in journals such as Electronics, IEEE Transactions on Consumer Electronics, IEEE Access, Wireless Communications and Mobile Computing and Sensors.

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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