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Mohammad Mehedi Hassan

Mohammad Mehedi Hassan

King Saud University
Saudi Arabia

Award Badge
Computer Science
Saudi Arabia
2026

D-Index & Metrics

Computer Science

D-Index
72
Citations
17933
World Ranking
1701
National Ranking
9

Mohammad Mehedi Hassan publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Mohammad Mehedi Hassan sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 352 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Mohammad Mehedi Hassan D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Mohammad Mehedi Hassan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2025 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2022 - Research.com Computer Science in Saudi Arabia Leader Award

Overview

Mohammad Mehedi Hassan is affiliated with King Saud University in Saudi Arabia. Their research primarily spans the fields of Computer Science and Engineering, with a particular focus on several subfields and topics related to information technology and network systems.

The main fields of study in their work include:

  • Computer Science
  • Engineering

The subfields that they have contributed to extensively are:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Information Systems
  • Computer Vision and Pattern Recognition

Their research covers various specific topics, notably:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Network Security and Intrusion Detection
  • UAV Applications and Optimization
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications

Some of Mohammad Mehedi Hassan's recent publications include:

  • "Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA" (2020) in IEEE Access
  • "Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles" (2022) in IEEE Transactions on Intelligent Transportation Systems
  • "Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques" (2020) in International Journal of Environmental Research and Public Health
  • "A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network" (2022) in Journal of Parallel and Distributed Computing
  • "Graph Neural Network-Driven Traffic Forecasting for the Connected Internet of Vehicles" (2021) in IEEE Transactions on Network Science and Engineering

The frequent co-authors they have collaborated with include:

  • Sahil Garg
  • Giancarlo Fortino
  • Md. Rafiul Hassan
  • Georges Kaddoum
  • Md. Golam Rabiul Alam

Mohammad Mehedi Hassan's work has been published multiple times in the following venues:

  • IEEE Access
  • IEEE Transactions on Intelligent Transportation Systems
  • Alexandria Engineering Journal
  • Future Generation Computer Systems
  • IEEE Internet of Things Journal

Best Publications

  • Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data

    Yin Zhang;Meikang Qiu;Chun-Wei Tsai;Mohammad Mehedi Hassan

  • A Survey on Sensor-Cloud: Architecture, Applications, and Approaches

    Atif Alamri;Wasai Shadab Ansari;Mohammad Mehedi Hassan;M. Shamim Hossain

  • A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification

    Abdu Gumaei;Mohammad Mehedi Hassan;Rafiul Hassan;Abdulhameed Alelaiwi

  • A hybrid deep learning model for efficient intrusion detection in big data environment

    Mohammad Mehedi Hassan;Abdu Gumaei;Ahmed Alsanad;Majed A. AlRubaian

  • Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles

    Unknown

  • Federated Internet of Things and Cloud Computing Pervasive Patient Health Monitoring System

    Jemal H. Abawajy;Mohammad Mehedi Hassan

  • Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA

    Taha Alfakih;Mohammad Mehedi Hassan;Abdu Gumaei;Claudio Savaglio

  • Human emotion recognition using deep belief network architecture

    Mohammad Mehedi Hassan;Md. Golam Rabiul Alam;Md. Zia Uddin;Shamsul Huda

  • A framework of sensor-cloud integration opportunities and challenges

    Mohammad Mehedi Hassan;Biao Song;Eui-Nam Huh

  • Enhanced Fingerprinting and Trajectory Prediction for IoT Localization in Smart Buildings

    Kai Lin;Min Chen;Jing Deng;Mohammad Mehedi Hassan

  • Autonomic computation offloading in mobile edge for IoT applications

    Golam Rabiul Alam;Mohammad Mehedi Hassan;Md. ZIa Uddin;Ahmad Almogren

  • Secured Data Collection With Hardware-Based Ciphers for IoT-Based Healthcare

    Hai Tao;Zakirul Alam Bhuiyan;Ahmed N. Abdalla;Mohammad Mehedi Hassan

  • A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network

    Unknown

  • AIWAC: affective interaction through wearable computing and cloud technology

    Min Chen;Yin Zhang;Yong Li;Mohammad Mehedi Hassan

  • A hybrid feature selection with ensemble classification for imbalanced healthcare data: A case study for brain tumor diagnosis

    Shamsul Huda;John Yearwood;Herbert F. Jelinek;Mohammad Mehedi Hassan

  • Secure Distributed Deduplication Systems with Improved Reliability

    Jin Li;Xiaofeng Chen;Xinyi Huang;Shaohua Tang

  • Efficient service recommendation system for cloud computing market

    Seung-Min Han;Mohammad Mehedi Hassan;Chang-Woo Yoon;Eui-Nam Huh

  • iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing

    Long Hu;Yiming Miao;Gaoxiang Wu;Mohammad Mehedi Hassan

  • Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques.

    Mamunur Rashid;Joarder Kamruzzaman;Mohammad Mehedi Hassan;Tasadduq Imam

  • A Performance Evaluation of Machine Learning-Based Streaming Spam Tweets Detection

    Chao Chen;Jun Zhang;Yi Xie;Yang Xiang

  • A Survey on Virtualization of Wireless Sensor Networks

    Md. Motaharul Islam;Mohammad Mehedi Hassan;Ga-Won Lee;Eui-Nam Huh

  • Facial Expression Recognition Utilizing Local Direction-Based Robust Features and Deep Belief Network

    Md. Zia Uddin;Mohammad Mehedi Hassan;Ahmad Almogren;Atif Alamri

  • A multimedia healthcare data sharing approach through cloud-based body area network

    Mohammad Mehedi Hassan;Kai Lin;Xuejun Yue;Jiafu Wan

  • A Hybrid Deep Learning Model for Human Activity Recognition Using Multimodal Body Sensing Data

    Abdu Gumaei;Mohammad Mehedi Hassan;Abdulhameed Alelaiwi;Hussain Alsalman

Frequent Co-Authors

Atif Alamri
Atif Alamri King Saud University
Giancarlo Fortino
Giancarlo Fortino University of Calabria
Abdulhameed Alelaiwi
Abdulhameed Alelaiwi King Saud University
Eui-Nam Huh
Eui-Nam Huh Kyung Hee University
Ahmad Almogren
Ahmad Almogren King Saud University
M. Shamim Hossain
M. Shamim Hossain King Saud University
Jemal H. Abawajy
Jemal H. Abawajy Deakin University
Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
Yang Xiang
Yang Xiang Swinburne University of Technology
Min Chen
Min Chen South China University of Technology

External Links

Personal website of Mohammad Mehedi Hassan Google Scholar page

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Best Scientists Citing Mohammad Mehedi Hassan

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