Ming Du

745 total citations
31 papers, 367 citations indexed

About

Ming Du is a scholar working on Radiation, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ming Du has authored 31 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiation, 11 papers in Electrical and Electronic Engineering and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ming Du's work include Advanced X-ray Imaging Techniques (11 papers), Medical Imaging Techniques and Applications (9 papers) and GaN-based semiconductor devices and materials (9 papers). Ming Du is often cited by papers focused on Advanced X-ray Imaging Techniques (11 papers), Medical Imaging Techniques and Applications (9 papers) and GaN-based semiconductor devices and materials (9 papers). Ming Du collaborates with scholars based in United States, China and Singapore. Ming Du's co-authors include Chris Jacobsen, Xuesong Yin, Hao Gong, Doğa Gürsoy, Tang Jiao Huang, Haiyong Wang, Chunhua Tang, Jincheng Zhang, Wei Mao and Vincent De Andrade and has published in prestigious journals such as Scientific Reports, Electrochimica Acta and Optics Express.

In The Last Decade

Ming Du

29 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Du United States 13 141 130 82 70 69 31 367
István Mohácsi Switzerland 12 129 0.9× 306 2.4× 72 0.9× 159 2.3× 5 0.1× 25 414
Bjoern Enders United States 10 46 0.3× 386 3.0× 23 0.3× 160 2.3× 6 0.1× 23 478
Yaniv Kurman Israel 13 166 1.2× 90 0.7× 60 0.7× 155 2.2× 47 0.7× 34 573
Sina Mayr Switzerland 10 215 1.5× 46 0.4× 123 1.5× 46 0.7× 211 3.1× 24 631
Brannon B. Klopfer United States 6 90 0.6× 16 0.1× 177 2.2× 63 0.9× 152 2.2× 17 328
Lorenzo Valzania Switzerland 10 220 1.6× 105 0.8× 13 0.2× 16 0.2× 15 0.2× 15 345
Sandor L. Barna United States 9 135 1.0× 97 0.7× 85 1.0× 16 0.2× 12 0.2× 12 333
Benjamin Plotkin-Swing United States 9 59 0.4× 34 0.3× 90 1.1× 155 2.2× 19 0.3× 22 410
Dylan S. Black United States 11 129 0.9× 47 0.4× 39 0.5× 86 1.2× 43 0.6× 22 318

Countries citing papers authored by Ming Du

Since Specialization
Citations

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

Fields of papers citing papers by Ming Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Du

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Du. A scholar is included among the top collaborators of Ming 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 Ming Du. Ming Du 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.
Du, Ming, et al.. (2024). Predicting ptychography probe positions using single-shot phase retrieval neural network. Optics Express. 32(21). 36757–36757. 3 indexed citations
2.
Zheng, Xuefeng, Ling Lv, Yanrong Cao, et al.. (2021). Degradation mechanisms of InGaN/GaN UVA LEDs under swift heavy ion irradiation: role of defects. Semiconductor Science and Technology. 36(9). 95044–95044. 4 indexed citations
3.
Du, Ming, Xiaojing Huang, & Chris Jacobsen. (2021). Using a modified double deep image prior for crosstalk mitigation in multislice ptychography. Journal of Synchrotron Radiation. 28(4). 1137–1145. 4 indexed citations
4.
Du, Ming, et al.. (2021). Upscaling X-ray nanoimaging to macroscopic specimens. Journal of Applied Crystallography. 54(2). 386–401. 16 indexed citations
5.
Wang, Haiyong, Wei Mao, Shenglei Zhao, et al.. (2021). Reverse blocking p-GaN gate AlGaN/GaN HEMTs with hybrid p-GaN ohmic drain. Superlattices and Microstructures. 156. 106931–106931. 9 indexed citations
6.
Du, Ming, Saugat Kandel, Junjing Deng, et al.. (2021). Adorym: a multi-platform generic X-ray image reconstruction framework based on automatic differentiation. Optics Express. 29(7). 10000–10000. 28 indexed citations
7.
Wang, Haiyong, Wei Mao, Shenglei Zhao, et al.. (2020). 1.3 kV Reverse-Blocking AlGaN/GaN MISHEMT With Ultralow Turn-On Voltage 0.25 V. IEEE Journal of the Electron Devices Society. 9. 125–129. 16 indexed citations
8.
Johnson, Erik C., Vandana Sampathkumar, Vincent De Andrade, et al.. (2020). A three-dimensional thalamocortical dataset for characterizing brain heterogeneity. Scientific Data. 7(1). 358–358. 11 indexed citations
9.
Du, Ming, et al.. (2020). Fast digital lossy compression for X-ray ptychographic data. Journal of Synchrotron Radiation. 28(1). 292–300. 7 indexed citations
10.
Nashed, Youssef S. G., Saugat Kandel, Ming Du, & Chris Jacobsen. (2019). Learning Phase Retrieval with Backpropagation. Microscopy and Microanalysis. 25(S2). 62–63. 1 indexed citations
11.
Du, Ming, Robert Hill, Maximilian Joesch, et al.. (2018). Flexible Learning-Free Segmentation and Reconstruction of Neural Volumes. Scientific Reports. 8(1). 14247–14247. 10 indexed citations
12.
Nashed, Youssef S. G., et al.. (2018). 3D x-ray imaging of continuous objects beyond the depth of focus limit. Optica. 5(9). 1078–1078. 19 indexed citations
13.
Du, Ming, et al.. (2018). Tomosaic: efficient acquisition and reconstruction of teravoxel tomography data using limited-size synchrotron X-ray beams. Journal of Synchrotron Radiation. 25(5). 1478–1489. 38 indexed citations
14.
Wang, Haiyong, Wei Mao, Xiaofei Wang, et al.. (2018). Study of high breakdown voltage GaN-based current-aperture vertical electron transistor with source-connected field-plates for power applications. Semiconductor Science and Technology. 33(7). 75008–75008. 1 indexed citations
15.
Chard, Ryan, Ming Du, Hanyu Li, et al.. (2018). High-Throughput Neuroanatomy and Trigger-Action Programming. 1–7. 4 indexed citations
16.
Du, Ming & Chris Jacobsen. (2017). Relative merits and limiting factors for x-ray and electron microscopy of thick, hydrated organic materials. Ultramicroscopy. 184(Pt A). 293–309. 36 indexed citations
17.
Wang, Jianli, et al.. (2017). Data processing automatically in vector scanning for microseismic. 31. 128–131. 1 indexed citations
18.
Yin, Xuesong, Tang Jiao Huang, Chunhua Tang, et al.. (2015). Significantly different mechanical properties and interfacial structures of Cu2ZnSn(S,Se)4 films prepared from metallic and sulfur-contained precursors. Solar Energy Materials and Solar Cells. 134. 389–394. 6 indexed citations
19.
Du, Ming, Xuesong Yin, Chunhua Tang, Tang Jiao Huang, & Hao Gong. (2015). Takovite-derived 2-D Ni/Al double hydroxide monolayer and graphene hybrid electrodes for electrochemical energy storage applications with high volumetric capacitance. Electrochimica Acta. 190. 521–530. 28 indexed citations
20.
Liu, Yuan, et al.. (2014). A unified drain current 1/fnoise model for GaN-based high electron mobility transistors. Chinese Physics B. 23(2). 20701–20701.

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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