Muhammad Asim

2.6k citations
97 papers · 1.4k · 1 hit paper · h-index 20

Impact in

Papers in

Muhammad Asim

84 papers receiving 1.3k citations

Hit Papers

PVswin-YOLOv8s: UAV-Based Pedestrian and Vehicle Detection for Traffic Management in Smart Cities Using Improved YOLOv8 2024 · 60 citations
600+1Years since publication204060

Peers

Muhammad Asim
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 569
  • Artificial Intelligence 489
  • Computer Networks and Communications 321
  • Signal Processing 129
  • Aerospace Engineering 216
Replace Fazhi He with:
Fazhi He China
Sadaqat Ur Rehman China
Haoxiang Wang China
Hesham Alhumyani Saudi Arabia
Aisha Hassan Abdalla Hashim Malaysia
Deepak Garg India
Yueming Lu China
Stanislao Lauria United Kingdom
Muhammad Attique South Korea
Martin Takáč United States
Muhammad Asim relative to Fazhi He China Fazhi He's profile →
Citations per field
00.5×
Fazhi He · 1×
Citations per year

Countries citing papers authored by Muhammad Asim

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Asim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009146
2 2019114
3 200992
4 202086
5 202265
6
PVswin-YOLOv8s: UAV-Based Pedestrian and Vehicle Detection for Traffic Management in Smart Cities Using Improved YOLOv8
Hit paper breakdown →
202460
7 200857
8 202056
9 202253
10 202339
11 202437
12 202336
13 202128
14 201726
15 202125
16 201325
17 201423
18 202423
19 200722
20 202319

About Muhammad Asim

Muhammad Asim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Computational Theory and Mathematics, having authored 97 papers that have together received 1.4k indexed citations. Recurring topics across this work include UAV Applications and Optimization (9 papers), Chaos-based Image/Signal Encryption (9 papers), Advanced Neural Network Applications (8 papers), Autonomous Vehicle Technology and Safety (6 papers), IoT and Edge/Fog Computing (6 papers), Video Surveillance and Tracking Methods (6 papers), Cryptographic Implementations and Security (5 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (569 citations), Artificial Intelligence (489 citations), Computer Networks and Communications (321 citations), Signal Processing (129 citations) and Aerospace Engineering (216 citations). Muhammad Asim has collaborated with scholars based in Saudi Arabia, China and Pakistan. Frequent co-authors include Ahmed A. Abd El‐Latif, Mohammed ElAffendi, Varun Jeoti, Milan Petković, Zuping Zhang, Junaid Qadir, Siddique Latif, Luan Ibraimi, Wali Khan Mashwani and Shujun Li. Their work appears in journals such as IEEE Access, Scientific Reports, Multimedia Tools and Applications, Soft Computing and Computers, materials & continua/Computers, materials & continua (Print).

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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