Cong‐Kha Pham

164 papers receiving 916 citations

Peers

Cong‐Kha Pham
Comparison fields: 5 of 73
  • Hardware and Architecture 284
  • Signal Processing 133
  • Artificial Intelligence 366
  • Computer Vision and Pattern Recognition 181
  • Computer Networks and Communications 175
Replace Rached Tourki with:
Rached Tourki Tunisia
Yuan Cao China
Hanrui Wang United States
Hubert Kaeslin Switzerland
Debayan Das United States
Jintao Zhang China
Gerald E. Sobelman United States
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Selçuk Köse United States
N. Felber Switzerland
Cong‐Kha Pham relative to Rached Tourki Tunisia Rached Tourki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cong‐Kha Pham

Since Specialization
Citations

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

Fields of papers citing papers by Cong‐Kha Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202378
2 201233
3 202428
4 201025
5 202124
6 202223
7 202222
8 201518
9 200717
10 202017
11 201716
12 201714
13 201014
14 201514
15 202113
16 202113
17 201613
18 202312
19 202212
20 201212

About Cong‐Kha Pham

Cong‐Kha Pham is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 193 papers that have together received 954 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (37 papers), Cryptographic Implementations and Security (36 papers), Physical Unclonable Functions (PUFs) and Hardware Security (26 papers), Chaos-based Image/Signal Encryption (25 papers), Numerical Methods and Algorithms (20 papers), Algorithms and Data Compression (19 papers), Network Packet Processing and Optimization (19 papers) and Low-power high-performance VLSI design (18 papers). The work is most often cited by research in Hardware and Architecture (284 citations), Signal Processing (133 citations), Artificial Intelligence (366 citations), Computer Vision and Pattern Recognition (181 citations) and Computer Networks and Communications (175 citations). Cong‐Kha Pham has collaborated with scholars based in Japan, Vietnam and United States. Frequent co-authors include Trong-Thuc Hoang, Van‐Phuc Hoang, Duc-Hung Le, Kuniyasu Suzaki, Katsumi Inoue, B. Tu, Koichiro Ishibashi, Masahiro Sowa, Cuong Pham‐Quoc and Xuan‐Tu Tran. Their work appears in journals such as IEEE Access, IEEE Transactions on Circuits & Systems II Express Briefs, Electronics, IEICE Transactions on Electronics and Future Internet.

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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