Muhammad Asim

2.7k citations
106 papers · 1.6k · 1 hit paper · h-index 20

Impact in

Papers in

Muhammad Asim

93 papers receiving 1.6k citations

Muhammad Asim's Hit Papers

PVswin-YOLOv8s: UAV-Based Pedestrian and Vehicle Detection for Traffic Management in Smart Cities Using Improved YOLOv8 2024 · 71 citations
710+1Years since publication204060

Peers

Muhammad Asim
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 638
  • Artificial Intelligence 563
  • Computer Networks and Communications 366
  • Signal Processing 151
  • Information Systems 230
Replace Fazhi He with:
Fazhi He China
Mznah Al‐Rodhaan Saudi Arabia
Nabendu Chaki India
Sadaqat Ur Rehman China
Chao Luo China
Aisha Hassan Abdalla Hashim Malaysia
Haoxiang Wang China
Deepak Garg India
Hesham Alhumyani Saudi Arabia
Zheng Qin China
Muhammad Asim relative to Fazhi He China Fazhi He's profile →
Citations per field
00.5×7.3×
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 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009152
2 2019131
3 2009106
4 2020100
5
PVswin-YOLOv8s: UAV-Based Pedestrian and Vehicle Detection for Traffic Management in Smart Cities Using Improved YOLOv8
Hit paper breakdown →
202471
6 202269
7 200864
8 202061
9 202261
10 202454
11 202350
12 202337
13 202135
14 201732
15 202428
16 202127
17 201427
18 202325
19 201325
20 200722

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 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (10 papers), Advanced Neural Network Applications (9 papers), UAV Applications and Optimization (9 papers), IoT and Edge/Fog Computing (8 papers), Autonomous Vehicle Technology and Safety (6 papers), Cryptography and Data Security (6 papers), Cryptographic Implementations and Security (6 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (638 citations), Artificial Intelligence (563 citations), Computer Networks and Communications (366 citations), Signal Processing (151 citations) and Information Systems (230 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, Luan Ibraimi, Junaid Qadir, Siddique Latif, Wali Khan Mashwani and Muhammad Usama. Their work appears in journals such as IEEE Access, Scientific Reports, PeerJ Computer Science, Multimedia Tools and Applications 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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