Cuong Pham

643 citations
39 papers · 447 · h-index 12

Impact in

Papers in

Cuong Pham

36 papers receiving 430 citations

Peers

Cuong Pham
Comparison fields: 5 of 50
  • Human-Computer Interaction 76
  • Computer Vision and Pattern Recognition 223
  • Signal Processing 19
  • Artificial Intelligence 53
  • Information Systems 25
Replace Aveen Dayal with:
Aveen Dayal Norway
Tanushyam Chattopadhyay India
Alireza Behrad Iran
Gerasimos Arvanitis Greece
Yepeng Guan China
Songül Albayrak Türkiye
Sreenivasa Reddy Yeduri Norway
Yutaka Yanagisawa Japan
Munaf Rashid Pakistan
Patrick Lazik United States
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Citations per field
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Aveen Dayal · 1×
Citations per year

Countries citing papers authored by Cuong Pham

Since Specialization
Citations

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

Fields of papers citing papers by Cuong Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Cuong Pham, 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 Cuong Pham Line = papers co-authored together Cuong Pham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202181
2 202057
3 201841
4 202134
5 201623
6 202123
7 201917
8 202414
9 201413
10 201913
11 202213
12 202313
13 202011
14 20139
15 20229
16 20188
17 20218
18 20147
19 20187
20 20237

About Cuong Pham

Cuong Pham is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Signal Processing, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 39 papers that have together received 447 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (13 papers), Hand Gesture Recognition Systems (7 papers), Phonocardiography and Auscultation Techniques (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Neural Network Applications (2 papers), COVID-19 diagnosis using AI (2 papers), Speech and Audio Processing (1 paper) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Human-Computer Interaction (76 citations), Computer Vision and Pattern Recognition (223 citations), Signal Processing (19 citations), Artificial Intelligence (53 citations) and Information Systems (25 citations). Cuong Pham has collaborated with scholars based in Vietnam, United States and France. Frequent co-authors include Tu Minh Phuong, Thanh-Hai Tran, Thi‐Lan Le, Chi-Ngon Nguyen, Thai‐Son Nguyen, Nhien‐An Le‐Khac, Thanh Phương Nguyễn, Minh Hoai Nguyen, Duy H. N. Nguyen and Hai Vu. Their work appears in journals such as IEEE Sensors Journal, Applied Intelligence, IEEE Access, Journal of Intelligent & Robotic Systems and Pervasive and Mobile Computing.

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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