Md Junayed Hasan

1.2k citations
47 papers · 847 · 1 hit paper · h-index 17

Impact in

Papers in

Md Junayed Hasan

41 papers receiving 824 citations

Md Junayed Hasan's Hit Papers

Application of deep learning for livestock behaviour recognition: A systematic literature review 2024 · 56 citations
560+1Years since publication1020304050

Peers

Md Junayed Hasan
Comparison fields: 5 of 104
  • Control and Systems Engineering 330
  • Mechanical Engineering 206
  • Neurology 39
  • Mechanics of Materials 117
  • Ocean Engineering 65
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Md Junayed Hasan relative to Xiaohua Li China Xiaohua Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Md Junayed Hasan

Since Specialization
Citations

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

Fields of papers citing papers by Md Junayed Hasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Junayed Hasan. 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 Md Junayed Hasan. The network helps show where Md Junayed Hasan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201896
2 202164
3 201957
4
Application of deep learning for livestock behaviour recognition: A systematic literature review
Hit paper breakdown →
202456
5 202349
6 202146
7 202044
8 202040
9 202338
10 201937
11 201831
12 202130
13 202029
14 202123
15 202422
16 202117
17 202317
18 202316
19 201716
20 202313

About Md Junayed Hasan

Md Junayed Hasan is a scholar working on Control and Systems Engineering, Mechanical Engineering, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 47 papers that have together received 847 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (13 papers), Fault Detection and Control Systems (8 papers), Non-Destructive Testing Techniques (6 papers), COVID-19 diagnosis using AI (5 papers), Gear and Bearing Dynamics Analysis (5 papers), Structural Integrity and Reliability Analysis (5 papers), Robotics and Sensor-Based Localization (4 papers) and Phonocardiography and Auscultation Techniques (3 papers). The work is most often cited by research in Control and Systems Engineering (330 citations), Mechanical Engineering (206 citations), Neurology (39 citations), Mechanics of Materials (117 citations) and Ocean Engineering (65 citations). Md Junayed Hasan has collaborated with scholars based in South Korea, United Kingdom and Bangladesh. Frequent co-authors include Jong-Myon Kim, Muhammad Ammar Sohaib, M. M. Manjurul Islam, Ali Rohan, Zahoor Ahmad, Akhand Rai, Prajoy Podder, Md. Rubaiyat Hossain Mondal, Jia Uddin and Somasundar Kannan. Their work appears in journals such as Sensors, Applied Sciences, IEEE Access, Measurement Science and Technology and Scientific Reports.

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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