S.-C.B. Lo

1.9k total citations
33 papers, 1.4k citations indexed

About

S.-C.B. Lo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Microbiology. According to data from OpenAlex, S.-C.B. Lo has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 9 papers in Microbiology. Recurrent topics in S.-C.B. Lo's work include AI in cancer detection (8 papers), Microbial infections and disease research (7 papers) and Advanced Data Compression Techniques (6 papers). S.-C.B. Lo is often cited by papers focused on AI in cancer detection (8 papers), Microbial infections and disease research (7 papers) and Advanced Data Compression Techniques (6 papers). S.-C.B. Lo collaborates with scholars based in United States and United Kingdom. S.-C.B. Lo's co-authors include Matthew T. Freedman, Seong K. Mun, Jyh-Shyan Lin, K.J. Ray Liu, Douglas J. Wear, S.L. Lou, H. K. Huang, Shien Tsai, J W Shih and Hua Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JNCI Journal of the National Cancer Institute and Clinical Infectious Diseases.

In The Last Decade

S.-C.B. Lo

31 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.-C.B. Lo United States 20 470 385 375 370 215 33 1.4k
Paolo Ocampo United States 7 1.1k 2.3× 235 0.6× 981 2.6× 88 0.2× 342 1.6× 9 2.2k
Ruichen Rong United States 15 408 0.9× 128 0.3× 380 1.0× 113 0.3× 182 0.8× 32 1.8k
David G. Heath United States 28 162 0.3× 296 0.8× 588 1.6× 56 0.2× 749 3.5× 52 3.3k
Sameer Shrivastava India 17 177 0.4× 106 0.3× 158 0.4× 247 0.7× 105 0.5× 103 1.2k
Natalie Shih United States 24 1.4k 3.1× 750 1.9× 1.1k 3.0× 43 0.1× 412 1.9× 47 2.8k
Kamolrat Silamut Thailand 24 277 0.6× 889 2.3× 279 0.7× 21 0.1× 50 0.2× 41 2.9k
Sonal Saxena India 15 200 0.4× 116 0.3× 143 0.4× 228 0.6× 44 0.2× 50 876
Xiaowei Zhan United States 24 393 0.8× 118 0.3× 363 1.0× 26 0.1× 195 0.9× 75 2.6k
Henry Horng‐Shing Lu Taiwan 24 256 0.5× 212 0.6× 352 0.9× 13 0.0× 203 0.9× 124 2.3k
Weigang Hu China 24 111 0.2× 51 0.1× 1.0k 2.7× 66 0.2× 612 2.8× 125 2.1k

Countries citing papers authored by S.-C.B. Lo

Since Specialization
Citations

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

Fields of papers citing papers by S.-C.B. Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.-C.B. Lo. 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 S.-C.B. Lo. The network helps show where S.-C.B. Lo may publish in the future.

Co-authorship network of co-authors of S.-C.B. Lo

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

All Works

20 of 20 papers shown
1.
Wong, Kenneth H., et al.. (2009). Imaging components for a robotic casualty evaluation system. PubMed. 2009. 467–470. 4 indexed citations
2.
Weiss, Stanley H., et al.. (2006). Mycoplasma genitalium infection and host antibody immune response in patients infected by HIV, patients attending STD clinics and in healthy blood donors. FEMS Immunology & Medical Microbiology. 19(3). 237–245. 21 indexed citations
3.
Ansell, Pete, et al.. (2005). Repression of cancer protective genes by 17β-estradiol: Ligand-dependent interaction between human Nrf2 and estrogen receptor α. Molecular and Cellular Endocrinology. 243(1-2). 27–34. 67 indexed citations
4.
Lo, S.-C.B., Huai Li, & Matthew T. Freedman. (2003). Optimization of wavelet decomposition for image compression and feature preservation. IEEE Transactions on Medical Imaging. 22(9). 1141–1151. 45 indexed citations
5.
Li, Hua, et al.. (2002). Fractal modeling of mammogram and enhancement of microcalcifications. 1996 IEEE Nuclear Science Symposium. Conference Record. 3. 1850–1854. 9 indexed citations
6.
Freedman, Matthew T., Jeffrey S. Martin, John O’Gorman, et al.. (2001). Digitized Mammography: a Clinical Trial of Postmenopausal Women Randomly Assigned to Receive Raloxifene, Estrogen, or Placebo. JNCI Journal of the National Cancer Institute. 93(1). 51–56. 104 indexed citations
7.
Li, Hua, et al.. (2001). Computerized radiographic mass detection. II. Decision support by featured database visualization and modular neural networks. IEEE Transactions on Medical Imaging. 20(4). 302–313. 48 indexed citations
8.
Li, Hua, et al.. (2001). Computerized radiographic mass detection. I. Lesion site selection by morphological enhancement and contextual segmentation. IEEE Transactions on Medical Imaging. 20(4). 289–301. 78 indexed citations
9.
Tsai, Shang‐Wen, et al.. (1998). Absence of Mycoplasmal Gene in Malignant Mammalian Cells Transformed by Chronic Persistent Infection of Mycoplasmas. Experimental Biology and Medicine. 218(1). 83–89. 18 indexed citations
10.
Perez, George, Joan Skurnick, Thomas N. Denny, et al.. (1998). Herpes simplex type II and Mycoplasma genitalium as risk factors for heterosexual HIV transmission: Report from the heterosexual hiv transmission study. International Journal of Infectious Diseases. 3(1). 5–11. 50 indexed citations
11.
Liu, K.J. Ray, et al.. (1997). Fractal modeling and segmentation for the enhancement of microcalcifications in digital mammograms. IEEE Transactions on Medical Imaging. 16(6). 785–798. 137 indexed citations
12.
Lin, Jyh-Shyan, S.-C.B. Lo, Akira Hasegawa, Matthew T. Freedman, & Seong K. Mun. (1996). Reduction of false positives in lung nodule detection using a two-level neural classification. IEEE Transactions on Medical Imaging. 15(2). 206–217. 61 indexed citations
13.
Lo, S.-C.B., et al.. (1995). Artificial convolution neural network techniques and applications for lung nodule detection. IEEE Transactions on Medical Imaging. 14(4). 711–718. 243 indexed citations
14.
15.
Lo, S.-C.B., et al.. (1993). Adult Respiratory Distress Syndrome with or Without Systemic Disease Associated with Infections Due to Mycoplasma fermentons. Clinical Infectious Diseases. 17(Supplement_1). S259–S263. 19 indexed citations
16.
17.
Lo, S.-C.B., Brian Krasner, & Seong K. Mun. (1990). Noise impact on error-free image compression. IEEE Transactions on Medical Imaging. 9(2). 202–206. 30 indexed citations
18.
19.
Lo, S.-C.B., et al.. (1989). Virus-like Infectious Agent (VLIA) is a Novel Pathogenic Mycoplasma: Mycoplasma Incognitus. American Journal of Tropical Medicine and Hygiene. 41(5). 586–600. 95 indexed citations
20.
Lo, S.-C.B. & H. K. Huang. (1985). Radiological image compression: full-frame bit-allocation technique.. Radiology. 155(3). 811–817. 38 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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