H. Geng

720 total citations
26 papers, 509 citations indexed

About

H. Geng is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, H. Geng has authored 26 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiation, 16 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in H. Geng's work include Advanced Radiotherapy Techniques (19 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Lung Cancer Diagnosis and Treatment (7 papers). H. Geng is often cited by papers focused on Advanced Radiotherapy Techniques (19 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Lung Cancer Diagnosis and Treatment (7 papers). H. Geng collaborates with scholars based in United States, China and Canada. H. Geng's co-authors include Ying Xiao, Kuo Men, Haoyu Zhong, Yong Fan, Alexander Lin, John P. Plastaras, Chingyun Cheng, Peter Gabriel, Abigail Doucette and James M. Metz and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

H. Geng

23 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. Geng United States	10	288	255	184	83	55	26	509
Michael Dohopolski United States	14	227 0.8×	176 0.7×	196 1.1×	67 0.8×	56 1.0×	56	497
Hubert S. Gabryś Switzerland	10	394 1.4×	286 1.1×	346 1.9×	119 1.4×	41 0.7×	26	651
Seung Yeun Chung South Korea	14	194 0.7×	156 0.6×	159 0.9×	45 0.5×	62 1.1×	31	537
Simon Duke United Kingdom	9	197 0.7×	166 0.7×	95 0.5×	58 0.7×	23 0.4×	15	367
Shahreen Ahmad United Kingdom	8	525 1.8×	170 0.7×	302 1.6×	121 1.5×	43 0.8×	14	638
Brian Hrycushko United States	15	406 1.4×	346 1.4×	240 1.3×	124 1.5×	64 1.2×	54	742
Jinhan Zhu China	12	265 0.9×	244 1.0×	178 1.0×	82 1.0×	23 0.4×	43	449
Silvia Strolin Italy	9	218 0.8×	118 0.5×	129 0.7×	64 0.8×	31 0.6×	29	362
Baher Elgohari United States	16	323 1.1×	122 0.5×	177 1.0×	101 1.2×	71 1.3×	33	616
Michael C. Tjong Canada	10	239 0.8×	133 0.5×	234 1.3×	68 0.8×	44 0.8×	36	489

Countries citing papers authored by H. Geng

Since Specialization

Citations

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

Fields of papers citing papers by H. Geng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Geng

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

All Works

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20 of 20 papers shown

Yuan, L., Quan Chen, Hania Al‐Hallaq, et al.. (2025). Quantitative Evaluation of Artificial Intelligence-Based Organ Segmentation Across Multiple Anatomic Sites Using 8 Commercial Software Platforms. Practical Radiation Oncology. 16(1). e47–e59. 1 indexed citations

Geng, H., et al.. (2025). Bridging the Interpretability Gap: Public Preferences for Explainable Artificial Intelligence in Public Service Decision-Making. International Journal of Human-Computer Interaction. 41(22). 14000–14013.

Geng, H., et al.. (2025). Deep learning-based analysis of gross features for ovarian epithelial tumors classification: A tool to assist pathologists for frozen section sampling. Human Pathology. 157. 105762–105762.

Geng, H., Zhongxing Liao, Quynh‐Nhu Nguyen, et al.. (2023). Implementation of Machine Learning Models to Ensure Radiotherapy Quality for Multicenter Clinical Trials: Report from a Phase III Lung Cancer Study. Cancers. 15(4). 1014–1014. 5 indexed citations

Lee, Sang Ho, H. Geng, Richard A. Caruana, et al.. (2023). Interpretable Machine Learning for Choosing Radiation Dose-volume Constraints on Cardio-pulmonary Substructures Associated with Overall Survival in NRG Oncology RTOG 0617. International Journal of Radiation Oncology*Biology*Physics. 117(5). 1270–1286. 8 indexed citations

Wang, Du, Sang Ho Lee, H. Geng, et al.. (2022). Interpretable machine learning for predicting pathologic complete response in patients treated with chemoradiation therapy for rectal adenocarcinoma. Frontiers in Artificial Intelligence. 5. 1059033–1059033. 7 indexed citations

Rong, Yi, Stanley Benedict, Yunfeng Cui, et al.. (2021). Rigid and Deformable Image Registration for Radiation Therapy: A Self-Study Evaluation Guide for NRG Oncology Clinical Trial Participation. Practical Radiation Oncology. 11(4). 282–298. 31 indexed citations

Lee, Sang Ho, H. Geng, & Ying Xiao. (2021). Radiotherapy Standardisation and Artificial Intelligence within the National Cancer Institute's Clinical Trials Network. Clinical Oncology. 34(2). 128–134. 4 indexed citations

Geng, H., T Giaddui, Chingyun Cheng, et al.. (2021). A comparison of two methodologies for radiotherapy treatment plan optimization and QA for clinical trials. Journal of Applied Clinical Medical Physics. 22(10). 329–337. 8 indexed citations

10.

Giaddui, T, et al.. (2020). Offline Quality Assurance for Intensity Modulated Radiation Therapy Treatment Plans for NRG-HN001 Head and Neck Clinical Trial Using Knowledge-Based Planning. Advances in Radiation Oncology. 5(6). 1342–1349. 16 indexed citations

11.

Geng, H., Himu Lukka, Charles A. Leath, et al.. (2020). Evaluation Of A Deep Learning-Based Auto-Segmentation Method For Quality Assurance Of Both Male And Female Pelvic Organ-At-Risk Contours In NCTN Clinical Trials. International Journal of Radiation Oncology*Biology*Physics. 108(3). e769–e769.

12.

Men, Kuo, H. Geng, Haoyu Zhong, et al.. (2019). A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial. International Journal of Radiation Oncology*Biology*Physics. 105(2). 440–447. 69 indexed citations

13.

Men, Kuo, H. Geng, Chingyun Cheng, et al.. (2018). Technical Note: More accurate and efficient segmentation of organs‐at‐risk in radiotherapy with convolutional neural networks cascades. Medical Physics. 46(1). 286–292. 42 indexed citations

14.

Zhang, Tianyu, Hao Zhong, H. Geng, et al.. (2018). External Validation of a Deep Learning-Based Auto-Segmentation Method for Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 102(3). e545–e545. 2 indexed citations

15.

Zou, Wei, H. Geng, Boon-Keng Kevin Teo, Jarod C. Finlay, & Ying Xiao. (2018). NCTN clinical trial standardization for radiotherapy through IROC and CIRO. Medical Physics. 45(10). e850–e853. 4 indexed citations

16.

Younge, Kelly C., Robin B. Marsh, Dawn Owen, et al.. (2018). Improving Quality and Consistency in NRG Oncology Radiation Therapy Oncology Group 0631 for Spine Radiosurgery via Knowledge-Based Planning. International Journal of Radiation Oncology*Biology*Physics. 100(4). 1067–1074. 33 indexed citations

17.

Geng, H., Haoyu Zhong, T Giaddui, et al.. (2017). Knowledge Engineering–Based Quality Evaluation of RTOG 1308 Proton Treatment plans. International Journal of Radiation Oncology*Biology*Physics. 99(2). E661–E662. 1 indexed citations

18.

Geng, H., T Giaddui, Hao Zhong, et al.. (2017). Knowledge Engineering-Based Quality Evaluation of NRG Oncology RTOG 0522 Treatment Plans. International Journal of Radiation Oncology*Biology*Physics. 99(2). S174–S174. 3 indexed citations

19.

Zhong, Hao, J. Wang, Johan van Soest, et al.. (2017). The Evidence Driven Dosimetric Constraints From Outcome Analysis of H&N Patients’ Data from NRG Oncology RTOG 0522 Trial. International Journal of Radiation Oncology*Biology*Physics. 99(2). S137–S137. 3 indexed citations

20.

Wang, Wei, et al.. (2014). Identification of biomarkers for lymph node metastasis in early-stage cervical cancer by tissue-based proteomics. British Journal of Cancer. 110(7). 1748–1758. 56 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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