Richard Du

649 total citations
8 papers, 248 citations indexed

About

Richard Du is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Otorhinolaryngology. According to data from OpenAlex, Richard Du has authored 8 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Cognitive Neuroscience and 2 papers in Otorhinolaryngology. Recurrent topics in Richard Du's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Alzheimer's disease research and treatments (2 papers) and Head and Neck Cancer Studies (2 papers). Richard Du is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Alzheimer's disease research and treatments (2 papers) and Head and Neck Cancer Studies (2 papers). Richard Du collaborates with scholars based in Hong Kong, United States and China. Richard Du's co-authors include Suzanne L. Baker, William J. Jagust, Theresa M. Harrison, Varut Vardhanabhuti, Herbert Pang, Jenna N. Adams, Anne Maaß, K.W. Chiu, Chenyi Xie and Elaine Lee and has published in prestigious journals such as Nature Communications, European Journal of Nuclear Medicine and Molecular Imaging and Alzheimer s & Dementia.

In The Last Decade

Richard Du

8 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard Du Hong Kong	6	130	67	65	60	40	8	248
Dewang Mao China	12	273 2.1×	140 2.1×	43 0.7×	66 1.1×	25 0.6×	21	444
Gayanè Aghakhanyan Italy	10	95 0.7×	42 0.6×	43 0.7×	31 0.5×	12 0.3×	31	247
A Sörensen Germany	9	81 0.6×	39 0.6×	64 1.0×	79 1.3×	8 0.2×	14	232
Viktor Wottschel United Kingdom	10	150 1.2×	98 1.5×	70 1.1×	105 1.8×	24 0.6×	17	419
Santiago Estrada Germany	5	214 1.6×	115 1.7×	40 0.6×	50 0.8×	35 0.9×	12	398
Luis E. Cortina United States	10	199 1.5×	64 1.0×	33 0.5×	22 0.4×	3 0.1×	17	310
Bénédicte Mortamet Switzerland	6	165 1.3×	101 1.5×	34 0.5×	55 0.9×	17 0.4×	9	324
Xiang Fan China	8	247 1.9×	77 1.1×	29 0.4×	46 0.8×	33 0.8×	26	396
Renske de Boer Netherlands	6	174 1.3×	79 1.2×	33 0.5×	71 1.2×	18 0.5×	9	414
Roberto Bruno Bossio Italy	6	23 0.2×	28 0.4×	53 0.8×	22 0.4×	22 0.6×	11	222

Countries citing papers authored by Richard Du

Since Specialization

Citations

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

Fields of papers citing papers by Richard Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Du

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

All Works

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8 of 8 papers shown

Du, Richard & Varut Vardhanabhuti. (2020). 3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks. 174–192. 2 indexed citations

Chiu, K.W., Varut Vardhanabhuti, Philip L. H. Yu, et al.. (2020). Detection of COVID-19 Using Deep Learning Algorithms on Chest Radiographs. Journal of Thoracic Imaging. 35(6). 369–376. 11 indexed citations

Xie, Chenyi, Richard Du, Joshua W. K. Ho, et al.. (2020). Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients. European Journal of Nuclear Medicine and Molecular Imaging. 47(12). 2826–2835. 64 indexed citations

Tan, Shawn Zheng Kai, et al.. (2020). Dropout in Neural Networks Simulates the Paradoxical Effects of Deep Brain Stimulation on Memory. Frontiers in Aging Neuroscience. 12. 273–273. 11 indexed citations

Harrison, Theresa M., Richard Du, Giuliana Klencklen, Suzanne L. Baker, & William J. Jagust. (2020). Distinct effects of beta‐amyloid and tau on cortical thickness in cognitively healthy older adults. Alzheimer s & Dementia. 17(7). 1085–1096. 40 indexed citations

Du, Richard, Victor Lee, Hui Yuan, et al.. (2019). Radiomics Model to Predict Early Progression of Nonmetastatic Nasopharyngeal Carcinoma after Intensity Modulation Radiation Therapy: A Multicenter Study. Radiology Artificial Intelligence. 1(4). e180075–e180075. 46 indexed citations

Harrison, Theresa M., Anne Maaß, Jenna N. Adams, et al.. (2019). Tau deposition is associated with functional isolation of the hippocampus in aging. Nature Communications. 10(1). 4900–4900. 73 indexed citations

Lepech, Michael D., et al.. (2010). Improving concrete for enhanced pipeline protection. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 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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