Van Lam

477 total citations
17 papers, 312 citations indexed

About

Van Lam is a scholar working on Atomic and Molecular Physics, and Optics, Biophysics and Media Technology. According to data from OpenAlex, Van Lam has authored 17 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 9 papers in Biophysics and 5 papers in Media Technology. Recurrent topics in Van Lam's work include Digital Holography and Microscopy (9 papers), Cell Image Analysis Techniques (9 papers) and Image Processing Techniques and Applications (4 papers). Van Lam is often cited by papers focused on Digital Holography and Microscopy (9 papers), Cell Image Analysis Techniques (9 papers) and Image Processing Techniques and Applications (4 papers). Van Lam collaborates with scholars based in United States and Vietnam. Van Lam's co-authors include Christopher B. Raub, Thanh Nguyen, George Nehmetallah, Vy Bui, Lin‐Ching Chang, Byung Min Chung, Anh Thai, Joseph A. Christodoulides, Marius George Linguraru and Marc P. Raphael and has published in prestigious journals such as Optics Express, Journal of Biomedical Optics and Cytometry Part A.

In The Last Decade

Van Lam

14 papers receiving 288 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Van Lam United States	6	206	125	123	77	64	17	312
Shamira Sridharan United States	10	317 1.5×	41 0.3×	139 1.1×	191 2.5×	181 2.8×	22	460
Thang L. Nguyen United States	6	121 0.6×	31 0.2×	45 0.4×	55 0.7×	118 1.8×	9	311
Hassaan Majeed United States	13	312 1.5×	59 0.5×	137 1.1×	184 2.4×	175 2.7×	20	550
Soorya Pradeep United States	5	124 0.6×	33 0.3×	48 0.4×	64 0.8×	72 1.1×	8	232
Nir A. Turko Israel	11	224 1.1×	138 1.1×	153 1.2×	106 1.4×	119 1.9×	14	389
Marcus Schäfer Germany	6	292 1.4×	128 1.0×	79 0.6×	102 1.3×	143 2.2×	8	374
Robert J. Filkins United States	10	100 0.5×	132 1.1×	98 0.8×	128 1.7×	81 1.3×	16	391
Corinne Moratal Switzerland	6	363 1.8×	141 1.1×	94 0.8×	198 2.6×	143 2.2×	7	422
Fadwa Joud France	10	165 0.8×	91 0.7×	60 0.5×	43 0.6×	94 1.5×	11	297
Guillaume Maucort France	4	304 1.5×	61 0.5×	155 1.3×	103 1.3×	149 2.3×	5	421

Countries citing papers authored by Van Lam

Since Specialization

Citations

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

Fields of papers citing papers by Van Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Van Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Van Lam. A scholar is included among the top collaborators of Van 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 Van Lam. Van Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Lam, Van, et al.. (2025). A self-supervised learning approach for high throughput and high content cell segmentation. Communications Biology. 8(1). 780–780.

Thai, Truc Thanh, et al.. (2025). Development and validation of artificial intelligence models for automated periodontitis staging and grading using panoramic radiographs. BMC Oral Health. 25(1). 1623–1623.

Lam, Van, et al.. (2024). Self-supervised learning for seizure classification using ECoG spectrograms. 101. 93–93. 1 indexed citations

Lam, Van, et al.. (2023). Digital Holographic Microscopy to Assess Cell Behavior. Methods in molecular biology. 2644. 247–266. 1 indexed citations

Lam, Van, et al.. (2022). Multi-class cell line classification using digital holographic microscopy and machine learning. 35–35. 1 indexed citations

Lam, Van, et al.. (2021). Keratin 19 maintains E-cadherin localization at the cell surface and stabilizes cell-cell adhesion of MCF7 cells. Cell Adhesion & Migration. 15(1). 1–17. 16 indexed citations

Lam, Van, et al.. (2021). Synthetic training of machine learning algorithms for holographic cell imaging. 1–1. 1 indexed citations

Lam, Van, Thanh Nguyen, Byung Min Chung, et al.. (2020). Machine learning (ML) and quantitative phase imaging scoring of epithelial and mesenchymal features of cancer cells. Imaging and Applied Optics Congress. 55. JTh2A.16–JTh2A.16. 1 indexed citations

Lam, Van, et al.. (2020). Tracking Single Cells Motility on Different Substrates. Methods and Protocols. 3(3). 56–56. 2 indexed citations

10.

Lam, Van, Thanh Nguyen, Vy Bui, et al.. (2020). Quantitative scoring of epithelial and mesenchymal qualities of cancer cells using machine learning and quantitative phase imaging. Journal of Biomedical Optics. 25(2). 1–1. 36 indexed citations

11.

Nguyen, Thanh, Vy Bui, Anh Thai, et al.. (2020). Virtual organelle self-coding for fluorescence imaging via adversarial learning. Journal of Biomedical Optics. 25(9). 5 indexed citations

12.

Lam, Van, et al.. (2020). Morphology, Motility, and Cytoskeletal Architecture of Breast Cancer Cells Depend on Keratin 19 and Substrate. Cytometry Part A. 97(11). 1145–1155. 10 indexed citations

13.

Lam, Van, et al.. (2019). Machine Learning with Optical Phase Signatures for Phenotypic Profiling of Cell Lines. Cytometry Part A. 95(7). 757–768. 14 indexed citations

14.

Nguyen, Thanh, Vy Bui, Van Lam, et al.. (2017). Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection. Optics Express. 25(13). 15043–15043. 166 indexed citations

15.

Nguyen, Thanh, et al.. (2017). Quantitative assessment of cancer cell morphology and movement using telecentric digital holographic microscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10074. 100740U–100740U. 4 indexed citations

16.

Lam, Van, Thanh Nguyen, Byung Min Chung, George Nehmetallah, & Christopher B. Raub. (2017). Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning. Cytometry Part A. 93(3). 334–345. 54 indexed citations

17.

Schonfeld, Justin, et al.. (2012). Computer processing of the etymologies in a standard dictionary. Classiques GARNIER. 35–64.

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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