Renjie He

2.3k total citations
48 papers, 440 citations indexed

About

Renjie He is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Radiation. According to data from OpenAlex, Renjie He has authored 48 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Otorhinolaryngology and 9 papers in Radiation. Recurrent topics in Renjie He's work include Radiomics and Machine Learning in Medical Imaging (18 papers), Head and Neck Cancer Studies (13 papers) and MRI in cancer diagnosis (9 papers). Renjie He is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), Head and Neck Cancer Studies (13 papers) and MRI in cancer diagnosis (9 papers). Renjie He collaborates with scholars based in United States, China and Egypt. Renjie He's co-authors include Clifton D. Fuller, Kareem A. Wahid, Mohamed A. Naser, Abdallah Mohamed, Lisanne V. van Dijk, Liyun Rao, Brigid A. McDonald, Weili Yan, Travis C. Salzillo and Guizhi Xu and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Materials Science and Engineering A and IEEE Access.

In The Last Decade

Renjie He

42 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renjie He United States 13 246 103 85 85 76 48 440
Xianjin Dai United States 16 356 1.4× 113 1.1× 50 0.6× 318 3.7× 70 0.9× 49 640
B. Rigaud France 17 456 1.9× 451 4.4× 274 3.2× 305 3.6× 194 2.6× 61 961
Béatrice Berthon France 12 271 1.1× 55 0.5× 56 0.7× 145 1.7× 38 0.5× 21 355
René F. Verhaart Netherlands 13 244 1.0× 91 0.9× 40 0.5× 298 3.5× 29 0.4× 17 447
Håkon Olav Leira Norway 10 102 0.4× 65 0.6× 202 2.4× 87 1.0× 24 0.3× 37 368
Zhe Guo China 10 217 0.9× 38 0.4× 55 0.6× 80 0.9× 58 0.8× 36 576
Elena Faggiano Italy 15 116 0.5× 51 0.5× 163 1.9× 137 1.6× 15 0.2× 31 562
Mohamed A. Naser United States 15 464 1.9× 134 1.3× 86 1.0× 243 2.9× 71 0.9× 61 828
Katsuhiko Ueda Japan 11 104 0.4× 25 0.2× 220 2.6× 81 1.0× 21 0.3× 51 444
Mao Li China 9 144 0.6× 34 0.3× 95 1.1× 46 0.5× 40 0.5× 23 331

Countries citing papers authored by Renjie He

Since Specialization
Citations

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

Fields of papers citing papers by Renjie He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renjie He

This figure shows the co-authorship network connecting the top 25 collaborators of Renjie He. A scholar is included among the top collaborators of Renjie He 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 Renjie He. Renjie He 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.
He, Renjie, et al.. (2025). Ellipsoidal shape manufacturing enabled by frontal polymerization with manually induced fluid field. Journal of Manufacturing Processes. 142. 222–230.
2.
Mohamed, Abdallah, Jacob G. Scott, James E. Bates, et al.. (2025). Optimal timing of organs-at-risk-sparing adaptive radiation therapy for head-and-neck cancer under re-planning resource constraints. Physics and Imaging in Radiation Oncology. 33. 100715–100715.
3.
Li, Ying, et al.. (2024). Breast image mass detection model based on multi-scale feature reinforcement network. Biomedical Signal Processing and Control. 96. 106655–106655. 1 indexed citations
4.
Leary, Owen P., Mattia D. Pizzagalli, Steven A. Toms, et al.. (2024). Tumor-Associated Tractography Derived from High-Angular-Resolution Q-Space MRI May Predict Patterns of Cellular Invasion in Glioblastoma. Cancers. 16(21). 3669–3669.
5.
Wahid, Kareem A., Carlos Cárdenas, Tucker Netherton, et al.. (2024). Evolving Horizons in Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification. Advances in Radiation Oncology. 9(7). 101521–101521. 3 indexed citations
6.
7.
Mohamed, Abdallah, Renjie He, Kareem A. Wahid, et al.. (2023). Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer: Results from an observational biomarker pre-qualification study. Radiotherapy and Oncology. 183. 109641–109641. 13 indexed citations
8.
He, Renjie, et al.. (2023). High-Dimensional Uncertainty Quantification in Electrical Impedance Tomography Forward Problem Based on Deep Neural Network. IEEE Access. 11. 54957–54967. 2 indexed citations
9.
Mohamed, Abdallah, Renjie He, Kareem A. Wahid, et al.. (2023). Dynamic Contrast Enhanced MRI as a Biomarker of Tumor Response and Oncologic Outcomes in Head and Neck Cancer: Results of a Single Institution Prospective Imaging Study. International Journal of Radiation Oncology*Biology*Physics. 117(2). e677–e678. 1 indexed citations
10.
Wahid, Kareem A., Diana Lin, Onur Sahin, et al.. (2023). Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites. Scientific Data. 10(1). 161–161. 5 indexed citations
11.
Lin, Diana, Kareem A. Wahid, Benjamin E. Nelms, et al.. (2023). E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for multiobserver segmentation. Journal of Medical Imaging. 10(S1). S11903–S11903. 10 indexed citations
12.
Wahid, Kareem A., Brigid A. McDonald, Sara Ahmed, et al.. (2022). Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy. Frontiers in Oncology. 12. 1 indexed citations
13.
Naser, Mohamed A., Kareem A. Wahid, Abdallah Mohamed, et al.. (2022). Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data. Lecture notes in computer science. 13209. 287–299. 12 indexed citations
14.
Wahid, Kareem A., Renjie He, Brigid A. McDonald, et al.. (2021). Intensity standardization methods in magnetic resonance imaging of head and neck cancer. Physics and Imaging in Radiation Oncology. 20. 88–93. 22 indexed citations
15.
Wahid, Kareem A., Sara Ahmed, Renjie He, et al.. (2021). Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry. Clinical and Translational Radiation Oncology. 32. 6–14. 44 indexed citations
16.
Stieb, Sonja, et al.. (2019). Imaging for Target Delineation and Treatment Planning in Radiation Oncology. Hematology/Oncology Clinics of North America. 33(6). 963–975. 15 indexed citations
17.
Ma, Dongmin, et al.. (2012). The Application of Magnetic Resonance Perfusion Imaging in the Estimation of Brain Function Using SVD Method. IEEE Transactions on Magnetics. 48(11). 2850–2853. 2 indexed citations
18.
Li, Ying, Guizhi Xu, Lei Guo, et al.. (2006). Resistivity Parameters Estimation Based on 2D Real Head Model Using Improved Differential Evolution Algorithm. PubMed. Suppl. 6720–6723.
19.
Li, Ying, et al.. (2005). MNR Method with Self-Determined Regularization Parameters for Solving Inverse Resistivity Problem. PubMed. 2005. 2652–2655. 1 indexed citations
20.
Li, Ying, et al.. (2005). A novel combination method of electrical impedance tomography inverse problem for brain imaging. IEEE Transactions on Magnetics. 41(5). 1848–1851. 28 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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