Usman Naeem

1.9k total citations · 1 hit paper
70 papers, 1.3k citations indexed

About

Usman Naeem is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Usman Naeem has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 12 papers in Information Systems and 10 papers in Computer Networks and Communications. Recurrent topics in Usman Naeem's work include Context-Aware Activity Recognition Systems (23 papers), IoT and Edge/Fog Computing (8 papers) and Human Mobility and Location-Based Analysis (7 papers). Usman Naeem is often cited by papers focused on Context-Aware Activity Recognition Systems (23 papers), IoT and Edge/Fog Computing (8 papers) and Human Mobility and Location-Based Analysis (7 papers). Usman Naeem collaborates with scholars based in United Kingdom, Pakistan and United States. Usman Naeem's co-authors include Muhammad Awais Azam, Muhammad Ehatisham-ul-Haq, Rehman Zafar, Khurram Shehzad, Anzar Mahmood, Sohail Razzaq, Asra Khalid, Mustansar Ali Ghazanfar, Yasar Amin and Jonathan Loo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Scientific Reports.

In The Last Decade

Usman Naeem

58 papers receiving 1.2k citations

Hit Papers

Prosumer based energy management and sharing in smart grid 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Usman Naeem United Kingdom 16 337 323 296 232 155 70 1.3k
S. Baskar India 22 287 0.9× 320 1.0× 316 1.1× 384 1.7× 109 0.7× 72 1.6k
Faiyaz Doctor United Kingdom 23 294 0.9× 445 1.4× 222 0.8× 649 2.8× 222 1.4× 81 1.9k
Sudhakar Sengan India 23 306 0.9× 162 0.5× 233 0.8× 344 1.5× 163 1.1× 121 1.5k
Hissam Tawfik United Kingdom 20 289 0.9× 239 0.7× 304 1.0× 340 1.5× 108 0.7× 106 1.6k
G. Ramkumar India 29 535 1.6× 343 1.1× 267 0.9× 407 1.8× 123 0.8× 200 2.4k
Yuansong Qiao Ireland 20 202 0.6× 446 1.4× 252 0.9× 166 0.7× 133 0.9× 125 2.3k
Macarena Espinilla Spain 20 196 0.6× 547 1.7× 196 0.7× 396 1.7× 67 0.4× 95 1.4k
Anand Paul South Korea 19 240 0.7× 279 0.9× 220 0.7× 310 1.3× 55 0.4× 73 1.2k
Imed Ben Dhaou Saudi Arabia 18 367 1.1× 137 0.4× 223 0.8× 199 0.9× 154 1.0× 104 1.3k
P. Mohamed Shakeel Malaysia 27 333 1.0× 354 1.1× 439 1.5× 625 2.7× 119 0.8× 55 2.1k

Countries citing papers authored by Usman Naeem

Since Specialization
Citations

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

Fields of papers citing papers by Usman Naeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Usman Naeem

This figure shows the co-authorship network connecting the top 25 collaborators of Usman Naeem. A scholar is included among the top collaborators of Usman Naeem 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 Usman Naeem. Usman Naeem 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
1.
Afzaal, Muhammad, et al.. (2025). Eco‐Friendly Approaches to Low‐Calorie Jam Formulation Using Tomato Waste: An Innovative and Sustainable Strategy. Food Science & Nutrition. 13(8). e70477–e70477.
2.
Serhan, Hashem Abu, et al.. (2025). Sub-Internal Limiting Membrane Hemorrhage Following Femtosecond Laser In Situ Keratomileusis: A Rare Postoperative Complication. Journal of VitreoRetinal Diseases. 10(2). 355–358.
4.
Khare, Neeraj, et al.. (2025). Cheese Waste Upcycling: Sustainable Approaches and Value Addition in Dairy Sector: A Comprehensive Review. Waste and Biomass Valorization. 17(3). 1303–1322. 1 indexed citations
5.
Naeem, Usman & Muhammad Mateen Afzal Awan. (2024). Maximizing off-grid solar photovoltaic system efficiency through cutting-edge performance optimization technique for incremental conductance algorithm. SHILAP Revista de lepidopterología. 43(3). 113–113. 4 indexed citations
6.
7.
Imran, Ali, et al.. (2024). Unleashed protein power: redefining baked goods with legume flour mixtures. Cogent Food & Agriculture. 10(1).
8.
Okoye, Kingsley, Syed Mohammed Shamsul Islam, Usman Naeem, & Samira Hosseini. (2023). Semantic Data Engineering for Intelligent Educational Learning Systems through Process Mining. 1–6. 1 indexed citations
9.
Baysan, Aylin & Usman Naeem. (2023). Inclusive education: pedagogical approach to online versus face-to-face teaching. Frontiers in Education. 8. 2 indexed citations
10.
Usman, Ifrah, Ali Imran, Muhammad Umair Arshad, et al.. (2023). Valorization of mustard and sesame oilseed cakes for food application through eco‐innovative technologies. Food Science & Nutrition. 11(4). 1818–1825. 13 indexed citations
11.
Naeem, Usman, et al.. (2022). Authors’ response: Proliferative retinopathy in chronic myeloid leukemia and diabetes: A “double whammy”. Survey of Ophthalmology. 67(6). 1731–1732. 1 indexed citations
12.
Yassin, Mohamed A., et al.. (2021). Ophthalmologic manifestations as the initial presentation of chronic myeloid leukemia: A review. Survey of Ophthalmology. 67(2). 530–543. 34 indexed citations
13.
Ehatisham-ul-Haq, Muhammad, Muhammad Awais Azam, Yasar Amin, & Usman Naeem. (2020). C2FHAR: Coarse-to-Fine Human Activity Recognition With Behavioral Context Modeling Using Smart Inertial Sensors. IEEE Access. 8. 7731–7747. 23 indexed citations
14.
Ghazanfar, Mustansar Ali, et al.. (2018). A performance comparison of machine learning classification approaches for robust activity of daily living recognition. Artificial Intelligence Review. 52(1). 357–379. 19 indexed citations
15.
Okoye, Kingsley, Usman Naeem, Syed Mohammed Shamsul Islam, Abdel‐Rahman H. Tawil, & Elyes Lamine. (2017). PROCESS MODELS DISCOVERY AND TRACES CLASSIFICATION: A FUZZY-BPMN MINING APPROACH.. Journal of international technology and information management. 26(4). 2–50. 3 indexed citations
16.
Ehatisham-ul-Haq, Muhammad, Muhammad Awais Azam, Jonathan Loo, et al.. (2017). Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing. Sensors. 17(9). 2043–2043. 88 indexed citations
17.
Rehman, Tanzeel U., Mian Kamran Sharif, Muhammad Ali Imran, et al.. (2017). Development and Quality Characteristics of Cereals-Legumes Blended Muffins. 9. 87–95. 2 indexed citations
18.
Naeem, Usman, et al.. (2017). High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation. Frontiers in Physiology. 7. 668–668. 19 indexed citations
19.
Okoye, Kingsley, Usman Naeem, & Syed Mohammed Shamsul Islam. (2017). Semantic fuzzy mining: Enhancement of process models and event logs analysis from syntactic to conceptual level. International Journal of Hybrid Intelligent Systems. 14(1-2). 67–98. 5 indexed citations
20.
Naeem, Usman, et al.. (2016). Environmental Impacts of Small Dams on Agriculture and Ground Water Development: A Case Study of Khanpur Dam, Pakistan. 5 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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