Sheikh Nooruddin

17 papers receiving 825 citations

Sheikh Nooruddin's Hit Papers

Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things 2023 · 114 citations
1140+1+2Years since publication255075100

Peers

Sheikh Nooruddin
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 395
  • Health Informatics 18
  • Health Information Management 41
  • Computer Networks and Communications 197
  • Artificial Intelligence 221
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Countries citing papers authored by Sheikh Nooruddin

Since Specialization
Citations

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

Fields of papers citing papers by Sheikh Nooruddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Sheikh Nooruddin, 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 Sheikh Nooruddin Line = papers co-authored together Sheikh Nooruddin links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2022133
2 2019115
3
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Hit paper breakdown →
2023114
4 202088
5 202086
6 202267
7 202166
8 201955
9 202138
10 201923
11 202122
12 202418
13 202316
14 20229
15 20227
16 20205
17 20224

About Sheikh Nooruddin

Sheikh Nooruddin is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 17 papers that have together received 866 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), Non-Invasive Vital Sign Monitoring (9 papers), IoT and Edge/Fog Computing (7 papers), COVID-19 diagnosis using AI (3 papers), Internet of Things and AI (3 papers), Human Pose and Action Recognition (2 papers), Gait Recognition and Analysis (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (395 citations), Health Informatics (18 citations), Health Information Management (41 citations), Computer Networks and Communications (197 citations) and Artificial Intelligence (221 citations). Sheikh Nooruddin has collaborated with scholars based in Bangladesh, Canada and United Arab Emirates. Frequent co-authors include Md. Milon Islam, Ghulam Muhammad, Fakhri Karray, Fakhri Karray, Md. Rabiul Islam, Muhammad Nomani Kabir, Md Asadul Islam, Muhammad Sheikh Sadi, Saifuddin Mahmud and Safial Islam Ayon. Their work appears in journals such as Information Fusion, Computers in Biology and Medicine, IEEE Internet of Things Journal, Journal of Ambient Intelligence and Humanized Computing and Biomedical Signal Processing and Control.

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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