S. Li

439 total citations
10 papers, 338 citations indexed

About

S. Li is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Li has authored 10 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiation, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Li's work include Advanced Radiotherapy Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Medical Imaging Techniques and Applications (2 papers). S. Li is often cited by papers focused on Advanced Radiotherapy Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Medical Imaging Techniques and Applications (2 papers). S. Li collaborates with scholars based in United States and China. S. Li's co-authors include Theodore L. DeWeese, Dechao Yu, Bahar Mikhak, H. Van der Poel, Robert DeJong, William G. Nelson, Roger Drew, Marti Goemann, Thomas L. Haulk and Y. Chen and has published in prestigious journals such as Applied Physics Letters, International Journal of Radiation Oncology*Biology*Physics and Applied Physics A.

In The Last Decade

S. Li

8 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Li United States	4	272	196	156	70	32	10	338
Tracey Marshall United States	5	315 1.2×	197 1.0×	373 2.4×	57 0.8×	46 1.4×	11	537
Minoru Tanaka Japan	7	109 0.4×	216 1.1×	116 0.7×	30 0.4×	12 0.4×	9	385
Yujie Qian United States	4	423 1.6×	359 1.8×	125 0.8×	11 0.2×	103 3.2×	10	595
Maria Rajecki Finland	10	252 0.9×	177 0.9×	168 1.1×	68 1.0×	45 1.4×	15	303
Li Tai Fang United States	13	69 0.3×	337 1.7×	73 0.5×	10 0.1×	39 1.2×	28	552
Dana Haddad United States	14	319 1.2×	136 0.7×	217 1.4×	158 2.3×	47 1.5×	29	488
Soundararajalu Chandrasekhar United States	9	374 1.4×	243 1.2×	155 1.0×	60 0.9×	45 1.4×	11	439
Huguette Schultz France	9	309 1.1×	309 1.6×	102 0.7×	22 0.3×	93 2.9×	11	440
Lotta Vassilev Finland	9	258 0.9×	141 0.7×	242 1.6×	84 1.2×	32 1.0×	13	322
Sylvie Villard France	14	48 0.2×	296 1.5×	30 0.2×	12 0.2×	13 0.4×	19	663

Countries citing papers authored by S. Li

Since Specialization

Citations

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

Fields of papers citing papers by S. Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Li

This figure shows the co-authorship network connecting the top 25 collaborators of S. Li. A scholar is included among the top collaborators of S. Li 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. Li. S. Li 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:

10 of 10 papers shown

1.

Li, S., et al.. (2024). A Solution to ACMMM 2024 on Artificial Intelligence Generated Image Detection. 11475–11477.

2.

Hong, Luo, et al.. (2023). Complexity Metrics and Planning Dose-Based Pretreatment Patient-Specific Quality Assurance Prediction: Classification, Gamma Passing Rates, and DVH Deviation. International Journal of Radiation Oncology*Biology*Physics. 117(2). e371–e372.

3.

Zhong, Huiying, et al.. (2012). Region-based Correction of Deformable Image Registration Errors for Adaptive Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 84(3). S797–S797. 1 indexed citations

4.

Li, S., Theodore L. DeWeese, Benjamin Movsas, et al.. (2012). Initial Validation and Clinical Experience with 3D Optical-Surface-Guided Whole Breast Irradiation of Breast Cancer. Technology in Cancer Research & Treatment. 11(1). 57–68. 10 indexed citations

5.

Pradhan, D, Rabih Hammoud, Ning Wen, et al.. (2006). 2256. International Journal of Radiation Oncology*Biology*Physics. 66(3). S353–S353. 1 indexed citations

6.

Li, S., et al.. (2005). Automatic detection of head refixation errors in fractionated stereotactic radiotherapy (FSR). 2. 284–287. 1 indexed citations

7.

Li, S., et al.. (2002). A novel 3D-video-based refixation technique for fractionated stereotactic radiotherapy. 4. 2693–2693. 3 indexed citations

8.

DeWeese, Theodore L., H. Van der Poel, S. Li, et al.. (2001). A phase I trial of CV706, a replication-competent, PSA selective oncolytic adenovirus, for the treatment of locally recurrent prostate cancer following radiation therapy.. PubMed. 61(20). 7464–72. 299 indexed citations

9.

Khurgin, Jacob B. & S. Li. (1991). Coulomb enhancement of the third-order nonlinearities in the mesoscopic semiconductor structures. Applied Physics A. 53(6). 523–534. 13 indexed citations

10.

Ding, Yujie J., S. Li, Jacob B. Khurgin, et al.. (1991). Observation of anomalously large blue shift of the heavy-hole photocurrent peak and optical bistability in narrow asymmetric coupled quantum wells. Applied Physics Letters. 59(9). 1025–1027. 10 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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