World's Best Scientists 2026 revealed!
Mohammed A. A. Al-qaness

Mohammed A. A. Al-qaness

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
42
Citations
6281
World Ranking
569
National Ranking
196

Computer Science

D-Index
45
Citations
7833
World Ranking
7237
National Ranking
959

Mohammed A. A. Al-qaness 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 Mohammed A. A. Al-qaness 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: 92 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Mohammed A. A. Al-qaness 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 Mohammed A. A. Al-qaness 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: 45 D-Index — 51st percentile

51% 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

  • 2025 - Research.com Rising Stars Award

Overview

Mohammed A. A. Al-qaness is affiliated with Zhejiang Normal University in China. Their research contributions primarily intersect the fields of Computer Science and Engineering, with a focus on specialized subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, and Media Technology.

The researcher's academic output includes numerous works concentrated in several key topics:

  • Metaheuristic Optimization Algorithms Research
  • IoT and Edge/Fog Computing
  • Anomaly Detection Techniques and Applications
  • Context-Aware Activity Recognition Systems
  • Remote-Sensing Image Classification
  • Advanced Multi-Objective Optimization Algorithms
  • COVID-19 diagnosis using AI

Frequent publishing venues for Mohammed A. A. Al-qaness encompass a range of journals that include:

  • Mathematics
  • Neural Computing and Applications
  • IEEE Access
  • Applied Soft Computing
  • Expert Systems with Applications

In addition to journal articles, their contributions extend to book chapters, with at least one publication through Springer Nature titled International Conference on Artificial Intelligence Science and Applications (CAISA) from 2023.

Key recent publications include:

  • Aquila Optimizer: A novel meta-heuristic optimization algorithm (2021), published in Computers & Industrial Engineering
  • Optimization Method for Forecasting Confirmed Cases of COVID-19 in China (2020), published in Journal of Clinical Medicine
  • COVID-19 image classification using deep features and fractional-order marine predators algorithm (2020), published in Scientific Reports
  • Green internet of things using UAVs in B5G networks: A review of applications and strategies (2021), published in Ad Hoc Networks
  • Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results (2022), published in Neural Computing and Applications

The researcher collaborates extensively with coauthors, often working with:

  • Mohamed Abd Elaziz
  • Ahmed A. Ewees
  • Abdelghani Dahou
  • Laith Abualigah
  • Rehab Ali Ibrahim

Best Publications

  • Aquila Optimizer: A novel meta-heuristic optimization algorithm

    Laith Mohammad Abualigah;Dalia Yousri;Mohamed Abd El-Aziz;Ahmed A. Ewees

  • Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System

    Unknown

  • Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results

    Unknown

  • COVID-19 image classification using deep features and fractional-order marine predators algorithm.

    Ahmed T Sahlol;Dalia Yousri;Ahmed A Ewees;Mohammed A A Al-Qaness

  • Green internet of things using UAVs in B5G networks: A review of applications and strategies

    Saeed H. Alsamhi;Saeed H. Alsamhi;Fatemeh Afghah;Radhya Sahal;Ammar Hawbani

  • IoT Intrusion Detection System Using Deep Learning and Enhanced Transient Search Optimization

    Abdulaziz Fatani;Mohamed Abd Elaziz;Abdelghani Dahou;Mohammed A. A. Al-Qaness

  • Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT

    Unknown

  • An Improved Marine Predators Algorithm With Fuzzy Entropy for Multi-Level Thresholding: Real World Example of COVID-19 CT Image Segmentation

    Mohamed E. Abd Elaziz;Ahmed A. Ewees;Dalia Yousri;Husein S. Naji Alwerfali

  • Marine Predators Algorithm for Forecasting Confirmed Cases of COVID-19 in Italy, USA, Iran and Korea.

    Mohammed A A Al-Qaness;Ahmed A Ewees;Ahmed A Ewees;Hong Fan;Laith Abualigah

  • An improved deep learning model for predicting daily PM2.5 concentration

    Fei Xiao;Mei Yang;Hong Fan;Guanghui Fan

  • WiGeR: WiFi-Based Gesture Recognition System

    Mohammed Abdulaziz Aide Al-qaness;Fangmin Li

  • Optimized ANFIS Model Using Aquila Optimizer for Oil Production Forecasting

    Ayman Mutahar AlRassas;Mohammed A. A. Al-qaness;Ahmed A. Ewees;Shaoran Ren

  • An improved YOLO-based road traffic monitoring system

    Mohammed Abdulaziz Aide Al-qaness;Aaqif Afzaal Abbasi;Hong Fan;Rehab Ali Ibrahim

  • Intrusion detection approach for cloud and IoT environments using deep learning and Capuchin Search Algorithm

    Unknown

  • Human activity recognition using marine predators algorithm with deep learning

    Unknown

  • Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model

    Ahmed A. Ewees;Laith Abualigah;Dalia Yousri;Zakariya Yahya Algamal

  • Improved Artificial Bee Colony Using Sine-Cosine Algorithm for Multi-Level Thresholding Image Segmentation

    Ahmed A. Ewees;Mohamed E. Abd Elaziz;Mohammed Abdulaziz Aide Al-qaness;Hassan A. Khalil

  • Efficient Artificial Intelligence Forecasting Models for COVID-19 Outbreak in Russia and Brazil.

    Mohammed A.A. Al-qaness;Amal I. Saba;Ammar H. Elsheikh;Mohamed Abd Elaziz

  • COVID-19 X-ray images classification based on enhanced fractional-order cuckoo search optimizer using heavy-tailed distributions

    Dalia Yousri;Mohamed Abd Elaziz;Laith Abualigah;Diego Oliva

  • Reliable applied objective for identifying simple and detailed photovoltaic models using modern metaheuristics: Comparative study

    Dalia Yousri;Mohamed Abd Elaziz;Diego Oliva;Diego Oliva;Laith Abualigah

  • Modeling of drilling process of GFRP composite using a hybrid random vector functional link network/parasitism-predation algorithm

    Ammar H. Elsheikh;Mohamed Abd Elaziz;B. Ramesh;Mohamed Egiza

  • Utilization of Random Vector Functional Link integrated with Marine Predators Algorithm for tensile behavior prediction of dissimilar friction stir welded aluminum alloy joints

    Mohamed Abd Elaziz;Taher A. Shehabeldeen;Taher A. Shehabeldeen;Ammar H. Elsheikh;Jianxin Zhou

  • Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model

    Ahmed A. Ewees;Mohammed A. A. Al-qaness;Laith Abualigah;Diego Oliva

  • A Study of the Effects of Stemming Strategies on Arabic Document Classification

    Yousif A. Alhaj;Jianwen Xiang;Dongdong Zhao;Mohammed Abdulaziz Aide Al-qaness

  • Enhanced salp swarm algorithm based on firefly algorithm for unrelated parallel machine scheduling with setup times

    Ahmed A. Ewees;Ahmed A. Ewees;Mohammed A.A. Al-qaness;Mohamed Abd Elaziz

Frequent Co-Authors

Mohamed Abd Elaziz
Mohamed Abd Elaziz Ajman University of Science and Technology
Ahmed A. Ewees
Ahmed A. Ewees Damietta University
Dalia Yousri
Dalia Yousri Khalifa University
Laith Mohammad Abualigah
Laith Mohammad Abualigah Al al-Bayt University
Songfeng Lu
Songfeng Lu Huazhong University of Science and Technology
Diego Oliva
Diego Oliva University of Guadalajara
Amir Mosavi
Amir Mosavi Óbuda University
Robertas Damaševičius
Robertas Damaševičius Kaunas University of Technology
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Amir H. Gandomi
Amir H. Gandomi University of Technology Sydney

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