Tauheed Mian

706 citations
16 papers · 534 · 1 hit paper · h-index 9

Impact in

Papers in

    • Machine Fault Diagnosis Techniques 14
    • Fault Detection and Control Systems 4
    • Gear and Bearing Dynamics Analysis 7
    • Advanced machining processes and optimization 5
    • Hydraulic and Pneumatic Systems 1
    • Lubricants and Their Additives 1

Tauheed Mian

14 papers receiving 510 citations

Tauheed Mian's Hit Papers

Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images 2021 · 217 citations
2170+1+3Years since publication50100150200

Peers

Tauheed Mian
Comparison fields: 5 of 53
  • Control and Systems Engineering 387
  • Mechanics of Materials 194
  • Mechanical Engineering 263
  • Industrial and Manufacturing Engineering 52
  • Medical Laboratory Technology 4
Replace J. Kozik with:
J. Kozik Poland
Zhenhui Zhan China
Moussa Hamadache South Korea
Lizhi Liu China
Rongzhen Zhao China
Myeongsu Kang United States
Zhenling Mo China
Wei-Li Qin China
Alessandro Paolo Daga Italy
Tauheed Mian relative to J. Kozik Poland J. Kozik's profile →
Citations per field
00.5×3.6×
J. Kozik · 1×
Citations per year

Countries citing papers authored by Tauheed Mian

Since Specialization
Citations

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

Fields of papers citing papers by Tauheed Mian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Tauheed Mian, 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 Tauheed Mian Line = papers co-authored together Tauheed Mian links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images
Hit paper breakdown →
2021217
2 202270
3 202251
4 202250
5 202340
6 202132
7 202325
8 202316
9 202216
10 20226
11 20235
12 20223
13 20232
14 20231
15 20250
16 20230

About Tauheed Mian

Tauheed Mian is a scholar working on Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Electrical and Electronic Engineering and Automotive Engineering, having authored 16 papers that have together received 534 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (14 papers), Gear and Bearing Dynamics Analysis (7 papers), Advanced machining processes and optimization (5 papers), Fault Detection and Control Systems (4 papers), Thermography and Photoacoustic Techniques (3 papers), Electrical Fault Detection and Protection (1 paper), Hydraulic and Pneumatic Systems (1 paper) and Lubricants and Their Additives (1 paper). The work is most often cited by research in Control and Systems Engineering (387 citations), Mechanics of Materials (194 citations), Mechanical Engineering (263 citations), Industrial and Manufacturing Engineering (52 citations) and Medical Laboratory Technology (4 citations). Tauheed Mian has collaborated with scholars based in India and Belgium. Frequent co-authors include Anurag Choudhary, Shahab Fatima, Bijaya Ketan Panigrahi, Mohd Bilal Naim Shaikh, A.R. Mohanty and Rismaya Kumar Mishra. Their work appears in journals such as IEEE Sensors Journal, Measurement, IEEE Transactions on Industry Applications, Engineering Applications of Artificial Intelligence and Applied Acoustics.

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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