Muhammad Sajjad

7.2k total citations · 4 hit papers
116 papers, 5.0k citations indexed

About

Muhammad Sajjad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Muhammad Sajjad has authored 116 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 18 papers in Computer Networks and Communications. Recurrent topics in Muhammad Sajjad's work include Video Analysis and Summarization (15 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Video Surveillance and Tracking Methods (11 papers). Muhammad Sajjad is often cited by papers focused on Video Analysis and Summarization (15 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Video Surveillance and Tracking Methods (11 papers). Muhammad Sajjad collaborates with scholars based in South Korea, Pakistan and Norway. Muhammad Sajjad's co-authors include Sung Wook Baik, Khan Muhammad, Amin Ullah, Jamil Ahmad, Irfan Mehmood, Salman Khan, Mustaqeem Mustaqeem, Ali Shariq Imran, Tanveer Hussain and Wanqing Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Image Processing.

In The Last Decade

Muhammad Sajjad

110 papers receiving 4.8k 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.

Multi-grade brain tumor classification using deep CNN with extensive data augmentation

2018 612 citations Muhammad Sajjad, Khan Muhammad et al. profile →
Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features

2017 541 citations Amin Ullah, Jamil Ahmad et al. IEEE Access profile →
A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting

2020 372 citations Muhammad Sajjad, Amin Ullah et al. IEEE Access profile →
Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM

2020 264 citations Muhammad Sajjad et al. IEEE Access profile →

Peers

Muhammad Sajjad

CVPR

EEE

NEURO

Li Zhang China

Amin Ullah South Korea

Weibo Liu China

Usman Tariq Saudi Arabia

Imran Razzak Australia

D. Jude Hemanth India

Ram Sarkar India

Irfan Mehmood South Korea

Munish Kumar India

João Paulo Papa Brazil

Li Zhang China

Muhammad Sajjad

2.4k ×0.8

CVPR

2.4k ×1.6

556 ×0.9

EEE

191 ×0.3

NEURO

454 ×1.0

Citations per year, relative to Muhammad Sajjad Muhammad Sajjad (= 1×) peers Li Zhang

Countries citing papers authored by Muhammad Sajjad

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Sajjad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Sajjad

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ahmad, Bilal, Mustaqeem Khan, & Muhammad Sajjad. (2025). Gated Fusion Networks for Multi-Modal Violence Detection. AI. 6(10). 259–259.

Ali, Sajid, Muhammad Sajjad, Ik Hyun Lee, et al.. (2025). IoT-Driven Facial Expression Recognition for Personalized Healthcare in Industry 5.0. IEEE Internet of Things Journal. 12(22). 45995–46002. 2 indexed citations

Hijji, Mohammad, Mohammed M. Alwakeel, Ahmed M. Alwakeel, et al.. (2025). Multiagent Sensor Integration and Knowledge Distillation System for Real-Time Autonomous Vehicle Navigation. IEEE Systems Journal. 19(2). 382–391. 1 indexed citations

Khan, Siraj M., Muhammad Sajjad, José Escorcia‐Gutierrez, et al.. (2025). Two-stage CNN-based framework for leukocytes classification. Computers in Biology and Medicine. 187. 109616–109616. 1 indexed citations

Shah, Muhammad Ajmal, et al.. (2024). An Evaluate the Legal Gaps Regarding the Artificial Intelligence and Copyright Infringement in the Context of Pakistan. 2(2). 592–601. 1 indexed citations

Khan, Siraj M., Muhammad Sajjad, Naveed Abbas, et al.. (2024). Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network. Computers in Biology and Medicine. 174. 108146–108146. 18 indexed citations

Munsif, Muhammad, Muhammad Sajjad, Mohib Ullah, et al.. (2024). Optimized efficient attention-based network for facial expressions analysis in neurological health care. Computers in Biology and Medicine. 179. 108822–108822. 7 indexed citations

Hijji, Mohammad, Hikmat Yar, Fath U Min Ullah, et al.. (2023). FADS: An Intelligent Fatigue and Age Detection System. Mathematics. 11(5). 1174–1174. 5 indexed citations

Hijji, Mohammad, et al.. (2023). Intelligent Image Super-Resolution for Vehicle License Plate in Surveillance Applications. Mathematics. 11(4). 892–892. 7 indexed citations

10.

Munsif, Muhammad, et al.. (2022). A Lightweight Convolution Neural Network for Automatic Disasters Recognition. 1–6. 12 indexed citations

11.

Haq, Ijaz Ul, Tanveer Hussain, Khan Muhammad, et al.. (2022). PMAL: A Proxy Model Active Learning Approach for Vision Based Industrial Applications. ACM Transactions on Multimedia Computing Communications and Applications. 18(2s). 1–18. 5 indexed citations

12.

Amin, Sareer Ul, Mohib Ullah, Muhammad Sajjad, et al.. (2022). EADN: An Efficient Deep Learning Model for Anomaly Detection in Videos. Mathematics. 10(9). 1555–1555. 57 indexed citations

13.

Khan, Noman, Khan Muhammad, Tanveer Hussain, et al.. (2021). An Adaptive Game-Based Learning Strategy for Children Road Safety Education and Practice in Virtual Space. Sensors. 21(11). 3661–3661. 56 indexed citations

14.

Mehmood, Irfan, Amin Ullah, Khan Muhammad, et al.. (2019). Efficient Image Recognition and Retrieval on IoT-Assisted Energy-Constrained Platforms From Big Data Repositories. IEEE Internet of Things Journal. 6(6). 9246–9255. 51 indexed citations

15.

Mehmood, Irfan, Zhihan Lv, Yudong Zhang, et al.. (2018). Mobile cloud-assisted paradigms for management of multimedia big data in healthcare systems: Research challenges and opportunities. International Journal of Information Management. 45. 246–249. 5 indexed citations

16.

Khan, A. A., Muhammad Sajid, Amjad Iqbal, et al.. (2017). Improving yield and mineral profile of tomato through changing crop micro-environment.. Fresenius environmental bulletin. 26(8). 4911–4918. 1 indexed citations

17.

Ullah, Amin, Jamil Ahmad, Khan Muhammad, Muhammad Sajjad, & Sung Wook Baik. (2017). Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features. IEEE Access. 6. 1155–1166. 541 indexed citations breakdown →

18.

Sajjad, Muhammad, Siraj M. Khan, Zahoor Jan, et al.. (2016). Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities. IEEE Access. 5. 3475–3489. 83 indexed citations

19.

Sajjad, Muhammad, et al.. (2012). Participation of women in agriculture activities in District Peshawar.. Sarhad Journal of Agriculture. 28(1). 121–127. 25 indexed citations

20.

Nawab, Khalid, et al.. (2012). Farmers field schools and rice productivity: an empirical analysis of District Malakand.. Sarhad Journal of Agriculture. 28(1). 143–148. 3 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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