J. Wang

447 total citations
20 papers, 325 citations indexed

About

J. Wang is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, J. Wang has authored 20 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in J. Wang's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Radiotherapy Techniques (4 papers) and Head and Neck Cancer Studies (4 papers). J. Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Radiotherapy Techniques (4 papers) and Head and Neck Cancer Studies (4 papers). J. Wang collaborates with scholars based in United States and China. J. Wang's co-authors include John A. Sweeney, Lauren E. Ethridge, Matthew W. Mosconi, Matthew Byerly, Stormi P. White, Santica M. Marcovina, Helen H. Hobbs, David A. Sanan, Robert E. Hammer and Vincent Mooser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nano Energy and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

J. Wang

17 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Wang United States 6 110 105 104 69 44 20 325
Carol Broadbent United Kingdom 7 298 2.7× 68 0.6× 76 0.7× 50 0.7× 11 0.3× 8 470
Liron Abuhatzira United States 13 280 2.5× 231 2.2× 112 1.1× 59 0.9× 37 0.8× 13 482
Diana L. Kolbe United States 5 248 2.3× 90 0.9× 86 0.8× 15 0.2× 13 0.3× 5 484
Lori Orosco United States 8 116 1.1× 47 0.4× 65 0.6× 21 0.3× 18 0.4× 8 290
Manuel Haas Germany 7 255 2.3× 38 0.4× 40 0.4× 14 0.2× 33 0.8× 8 365
Taoyun Ji China 14 186 1.7× 171 1.6× 112 1.1× 12 0.2× 31 0.7× 66 573
Joyce So Canada 13 328 3.0× 438 4.2× 35 0.3× 38 0.6× 12 0.3× 26 643
Travis McMurphy United States 11 113 1.0× 82 0.8× 19 0.2× 30 0.4× 37 0.8× 13 370
Sheng Tang United States 10 219 2.0× 204 1.9× 43 0.4× 19 0.3× 29 0.7× 17 417

Countries citing papers authored by J. Wang

Since Specialization
Citations

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

Fields of papers citing papers by J. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of J. Wang. A scholar is included among the top collaborators of J. Wang 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 J. Wang. J. Wang 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.
Tao, Jun, J. Wang, Hao Wang, et al.. (2025). An integrated sensing and communication solar skin for health monitoring and human–machine interaction. Nano Energy. 148. 111639–111639.
2.
Wang, Xiaodong, et al.. (2025). A framework of variable-length sequence data preprocessing based on semantic perception. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University. 43(2). 388–397.
3.
Li, Jiarong, et al.. (2024). Indoor Health Monitoring with VLC-based Passive Posture Monitoring. 1–8. 1 indexed citations
4.
Tang, Shanshan, Allen Yen, Kai Wang, Kevin Albuquerque, & J. Wang. (2024). Progression-Free Survival Prediction for Locally Advanced Cervical Cancer After Chemoradiotherapy With MRI-based Radiomics. Clinical Oncology. 38. 103702–103702.
5.
Wang, J., Xiaomin Xu, Xinlei Chen, et al.. (2023). SolareSkin: Self-powered Visible Light Sensing Through a Solar Cell E-Skin. 664–669. 3 indexed citations
6.
Sher, David J., Vladimir Avkshtol, Dominic H. Moon, et al.. (2021). Recurrence and Quality-of-Life Following Involved Node Radiotherapy for Head and Neck Squamous Cell Carcinoma: Initial Results From the Phase II INRT-Air Trial. International Journal of Radiation Oncology*Biology*Physics. 111(3). e398–e398. 5 indexed citations
7.
Dohopolski, Michael, et al.. (2021). Predicting Feeding Tube Placement in Head and Neck Cancer Patients Receiving Radiation Therapy With Machine Learning. International Journal of Radiation Oncology*Biology*Physics. 111(3). e410–e410. 1 indexed citations
8.
Morgan, Howard E., Michael Dohopolski, Xiao Liang, et al.. (2021). Explainable Boosting Machine Model with a Parallel Ensemble Design Predicts Local Failure for Head and Neck Cancer With Clinical, CT, and Delta CBCT Radiomic Features. International Journal of Radiation Oncology*Biology*Physics. 111(3). e115–e116. 2 indexed citations
9.
Wang, J., et al.. (2020). Automatic Cone Beam Projection-based Liver Tumor Localization by Deep Learning and Biomechanical Modeling. International Journal of Radiation Oncology*Biology*Physics. 108(3). S171–S171. 3 indexed citations
10.
Dohopolski, Michael, et al.. (2019). Predicting Lymph Node Metastasis in Patients with Oropharyngeal Cancer by Convolutional Neural Networks with associated Epistemic Uncertainty. International Journal of Radiation Oncology*Biology*Physics. 105(1). S122–S122. 1 indexed citations
11.
Thomas, K., et al.. (2017). Predicting Recurrence in Triple Negative Breast Cancer Patients from Clinical Parameters Using a Multi-Objective Classifier. International Journal of Radiation Oncology*Biology*Physics. 99(2). E53–E53. 1 indexed citations
12.
Meyer, Jeffrey, et al.. (2017). Liver CBCT Reconstruction by Prior-Knowledge Guided Motion Modeling and Biomechanical Modeling. International Journal of Radiation Oncology*Biology*Physics. 99(2). S95–S95. 1 indexed citations
13.
Ethridge, Lauren E., Stormi P. White, Matthew W. Mosconi, et al.. (2016). Reduced habituation of auditory evoked potentials indicate cortical hyper-excitability in Fragile X Syndrome. Translational Psychiatry. 6(4). e787–e787. 135 indexed citations
14.
Zhou, Zhiheng, et al.. (2016). Predicting Distant Failure in Lung Stereotactic Body Radiation Therapy Using Multiobjective Radiomics Model. International Journal of Radiation Oncology*Biology*Physics. 96(2). S193–S194. 2 indexed citations
15.
Zhong, Zichun, Xuejun Gu, Puneeth Iyengar, et al.. (2015). A Multi-organ Meshing Method for Sliding Motion Modeling in 4D-CBCT Reconstruction. International Journal of Radiation Oncology*Biology*Physics. 93(3). S117–S117. 1 indexed citations
16.
Wang, J., Peter B. Alexander, & Steven L. McKnight. (2011). Metabolic Specialization of Mouse Embryonic Stem Cells. Cold Spring Harbor Symposia on Quantitative Biology. 76(0). 183–193. 28 indexed citations
17.
Wang, J., Rui Guerra, & Jonathan C. Cohen. (1999). A statistically robust variance‐components approach for quantitative trait linkage analysis. Annals of Human Genetics. 63(3). 249–262. 7 indexed citations
18.
Wang, J. & Ann L. White. (1999). Role of N-linked glycans, chaperone interactions and proteasomes in the intracellular targeting of apolipoprotein(a). Biochemical Society Transactions. 27(4). 453–458. 9 indexed citations
19.
Sanan, David A., Dale Newland, Santica M. Marcovina, et al.. (1998). Low density lipoprotein receptor-negative mice expressing human apolipoprotein B-100 develop complex atherosclerotic lesions on a chow diet: No accentuation by apolipoprotein(a). Proceedings of the National Academy of Sciences. 95(8). 4544–4549. 119 indexed citations
20.
Wang, J., et al.. (1997). New Alleles of the HLA-B15 Family. Human Immunology. 55(2). 184–189. 6 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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