Nitin Roy

18 papers receiving 462 citations

Nitin Roy's Hit Papers

A deep learning methodology based on adaptive multiscale CNN and enhanced highway LSTM for industrial process fault diagnosis 2024 · 64 citations
640+1Years since publication204060

Peers

Nitin Roy
Comparison fields: 5 of 70
  • Chemical Health and Safety 92
  • Statistics, Probability and Uncertainty 187
  • Radiological and Ultrasound Technology 106
  • Control and Systems Engineering 130
  • Safety, Risk, Reliability and Quality 40
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Dennis C. Hendershot United States
Christian O. Díaz‐Ovalle Mexico
Alex Kummer Hungary
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Dennis P. Nolan United States
Masaru Noda Japan
Jinji Gao China
Jingwen Wang China
Tianxiang Yu China
Hongguang Dong China
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Countries citing papers authored by Nitin Roy

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016100
2 202168
3
A deep learning methodology based on adaptive multiscale CNN and enhanced highway LSTM for industrial process fault diagnosis
Hit paper breakdown →
202464
4 201557
5 202151
6 202122
7 202120
8 202119
9 202219
10 202115
11 200210
12 20207
13 20226
14 20204
15 20242
16 20241
17
DEVELOPMENT AND APPLICATION OF PROCESS SAFETY INDICES IN EARLY DESIGN PHASE OF CHEMICAL SUPPLY CHAIN
20181
18
Development of a Risk Based Inherent Safety Index Using an Integrated Approach
20181
19 20250
20 20220

About Nitin Roy

Nitin Roy is a scholar working on Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology, Control and Systems Engineering, Chemical Health and Safety and Materials Chemistry, having authored 21 papers that have together received 467 indexed citations. Recurring topics across this work include Risk and Safety Analysis (14 papers), Occupational Health and Safety Research (8 papers), Chemical Safety and Risk Management (4 papers), Thermal and Kinetic Analysis (3 papers), Fault Detection and Control Systems (3 papers), Energetic Materials and Combustion (2 papers), Mineral Processing and Grinding (2 papers) and Traffic and Road Safety (2 papers). The work is most often cited by research in Chemical Health and Safety (92 citations), Statistics, Probability and Uncertainty (187 citations), Radiological and Ultrasound Technology (106 citations), Control and Systems Engineering (130 citations) and Safety, Risk, Reliability and Quality (40 citations). Nitin Roy has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include M. Sam Mannan, Fadwa Eljack, Mahmoud M. El‐Halwagi, Bin Zhang, Mingqi Bai, Chi‐Min Shu, Meng Qi, Arturo Jiménez‐Gutiérrez, Bin Zhang and Yi Liu. Their work appears in journals such as Journal of Loss Prevention in the Process Industries, Process Safety and Environmental Protection, Journal of Electronic Materials, Journal of Thermal Analysis and Calorimetry and Safety Science.

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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