Sandeep Sony

1.2k citations
8 papers · 949 · 2 hit papers · h-index 7

Impact in

    • Structural Health Monitoring Techniques
    • Infrastructure Maintenance and Monitoring
    • Concrete Corrosion and Durability
  • Geology top 5%
    • 3D Surveying and Cultural Heritage

Papers in

Sandeep Sony

7 papers receiving 936 citations

Sandeep Sony's Hit Papers

A systematic review of convolutional neural network-based structural condition assessment techniques 2020 · 299 citations
2990+2+4Years since publication100200300400

Peers

Sandeep Sony
Comparison fields: 5 of 90
  • Civil and Structural Engineering 720
  • Geology 72
  • Mechanics of Materials 181
  • Pollution 57
  • Ocean Engineering 76
Replace Shiyin Wei with:
Shiyin Wei China
Ulrike Dackermann Australia
Brent Phares United States
Yousok Kim South Korea
Shunlong Li China
Jinsong Zhu China
Difei Wu China
Mohsen Azimi Iran
Sutanu Bhowmick United States
Sandeep Sony relative to Shiyin Wei China Shiyin Wei's profile →
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Countries citing papers authored by Sandeep Sony

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Sony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Sandeep Sony, 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 Sandeep Sony Line = papers co-authored together Sandeep Sony links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
A literature review of next-generation smart sensing technology in structural health monitoring
Hit paper breakdown →
2019450
2
A systematic review of convolutional neural network-based structural condition assessment techniques
Hit paper breakdown →
2020299
3 202189
4 202144
5 202028
6 202122
7 201917
8 20250

About Sandeep Sony

Sandeep Sony is a scholar working on Civil and Structural Engineering, Control and Systems Engineering, Mechanics of Materials, Pollution and Environmental Engineering, having authored 8 papers that have together received 949 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (7 papers), Concrete Corrosion and Durability (4 papers), Infrastructure Maintenance and Monitoring (3 papers), Ultrasonics and Acoustic Wave Propagation (2 papers), Hand Gesture Recognition Systems (1 paper), IoT-based Smart Home Systems (1 paper), Structural Integrity and Reliability Analysis (1 paper) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Civil and Structural Engineering (720 citations), Geology (72 citations), Mechanics of Materials (181 citations), Pollution (57 citations) and Ocean Engineering (76 citations). Sandeep Sony has collaborated with scholars based in Canada, India and Indonesia. Frequent co-authors include Ayan Sadhu, Kyle Dunphy, Miriam A. M. Capretz, Jagath Samarabandu and Ajay Sharma. Their work appears in journals such as Journal of Vibration and Control, Engineering Structures, Structural Control and Health Monitoring, Journal of Sound and Vibration and Structures.

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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