Pham Duc Lam
Impact in
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- Municipal Solid Waste Management
- Recycling and Waste Management Techniques
Papers in
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- Advanced machining processes and optimization 4
- Mechanical Engineering and Vibrations Research 2
- Gear and Bearing Dynamics Analysis 2
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- Advanced Machining and Optimization Techniques 3
- Co-authors
- Tran Anh Khoa (5 shared papers)Hoang Nam Nguyen (3 shared papers)Duc Ngoc Minh Dang (2 shared papers)Nguyễn Văn Dũng (1 shared paper)Vu Ngoc Pi (4 shared papers)Huy Q. Tran (1 shared paper)Lê Xuân Hưng (4 shared papers)Nguyễn Anh Tuấn (3 shared papers)
In The Last Decade
Pham Duc Lam
13 papers receiving 225 citations
Peers
Comparison fields: 5 of 61
- Industrial and Manufacturing Engineering 46
- Health Informatics 4
- Artificial Intelligence 70
- Neurology 15
- Computer Networks and Communications 42
Countries citing papers authored by Pham Duc Lam
This map shows the geographic impact of Pham Duc Lam'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 Pham Duc Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pham Duc Lam more than expected).
Fields of papers citing papers by Pham Duc Lam
This network shows the impact of papers produced by Pham Duc Lam. 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 Pham Duc Lam. The network helps show where Pham Duc Lam may publish in the future.
Co-authors
The 9 scholars most cited alongside Pham Duc Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 125 | |
| 2 | 2023 | 67 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 7 | |
| 6 | 2024 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 1 |
About Pham Duc Lam
Pham Duc Lam is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Building and Construction, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 13 papers that have together received 237 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (4 papers), Advanced Machining and Optimization Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Smart Parking Systems Research (2 papers), Mechanical Engineering and Vibrations Research (2 papers), Gear and Bearing Dynamics Analysis (2 papers), AI in cancer detection (2 papers) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (46 citations), Health Informatics (4 citations), Artificial Intelligence (70 citations), Neurology (15 citations) and Computer Networks and Communications (42 citations). Pham Duc Lam has collaborated with scholars based in Vietnam and Taiwan. Frequent co-authors include Tran Anh Khoa, Hoang Nam Nguyen, Duc Ngoc Minh Dang, Nguyễn Văn Dũng, Vu Ngoc Pi, Huy Q. Tran, Lê Xuân Hưng, Nguyễn Anh Tuấn and Do Duc Trung. Their work appears in journals such as IEEE Access, Wireless Communications and Mobile Computing, IEEE Transactions on Computational Social Systems, Eastern-European Journal of Enterprise Technologies and EUREKA Physics and Engineering.
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.