Khanh Lam

561 total citations
5 papers, 83 citations indexed

About

Khanh Lam is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Automotive Engineering. According to data from OpenAlex, Khanh Lam has authored 5 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Automotive Engineering. Recurrent topics in Khanh Lam's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Manufacturing Process and Optimization (1 paper) and Vascular Anomalies and Treatments (1 paper). Khanh Lam is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Manufacturing Process and Optimization (1 paper) and Vascular Anomalies and Treatments (1 paper). Khanh Lam collaborates with scholars based in Vietnam and United States. Khanh Lam's co-authors include Ha Q. Nguyen, Hieu H. Pham, Van Vu, Hieu Nguyen, Linh Le, Minh Quang Dao, Shwe Soe and Chi Hieu Le and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Data and Surgical and Radiologic Anatomy.

In The Last Decade

Khanh Lam

5 papers receiving 81 citations

Peers

Khanh Lam
Adam Shephard United Kingdom
Tianyuan Yao United States
Tobias Roß Germany
Ittai Dayan United States
Khanh Lam
Citations per year, relative to Khanh Lam Khanh Lam (= 1×) peers Ali Emre Kavur

Countries citing papers authored by Khanh Lam

Since Specialization
Citations

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

Fields of papers citing papers by Khanh Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khanh Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Khanh Lam. A scholar is included among the top collaborators of Khanh Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Khanh Lam. Khanh Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Nguyen, Hieu, Ha Q. Nguyen, Hieu H. Pham, et al.. (2023). VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography. Scientific Data. 10(1). 277–277. 68 indexed citations
2.
Lam, Khanh, et al.. (2022). A case of a small-sized cavernous hemangioma in the right ventricle - an incidental finding. SHILAP Revista de lepidopterología. 17(3). 856–862. 3 indexed citations
3.
Lam, Khanh, et al.. (2022). Tracheal bronchus and associated pathologies detected by multidetector-row computed tomography in the Vietnamese population. Journal of Clinical Imaging Science. 12. 56–56. 1 indexed citations
4.
Lam, Khanh, et al.. (2021). Using 320-detector row computed tomography angiography to investigate the arterial anatomy of the toe flaps on living humans. Surgical and Radiologic Anatomy. 43(10). 1711–1719. 2 indexed citations
5.
Le, Chi Hieu, et al.. (2010). Medical reverse engineering applications and methods. 9 indexed citations

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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