Mi He

644 total citations
38 papers, 471 citations indexed

About

Mi He is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mi He has authored 38 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mi He's work include Non-Invasive Vital Sign Monitoring (10 papers), Advanced SAR Imaging Techniques (6 papers) and Image and Signal Denoising Methods (5 papers). Mi He is often cited by papers focused on Non-Invasive Vital Sign Monitoring (10 papers), Advanced SAR Imaging Techniques (6 papers) and Image and Signal Denoising Methods (5 papers). Mi He collaborates with scholars based in China, Australia and Italy. Mi He's co-authors include Yongjian Nian, Yushun Gong, Jianwei Wan, Bingwen Liu, Yongqin Li, Zhu Zhang, Wenwu Wang, Min Lu, Luping Xu and Jun Zhang and has published in prestigious journals such as Circulation, PLoS ONE and IEEE Access.

In The Last Decade

Mi He

35 papers receiving 468 citations

Peers

Mi He
Frank Jiang Australia
B. McInnis United States
Jörg Walter Germany
R. Narasimhan United States
M.P. Ramo United Kingdom
Mi He
Citations per year, relative to Mi He Mi He (= 1×) peers Yongjian Nian

Countries citing papers authored by Mi He

Since Specialization
Citations

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

Fields of papers citing papers by Mi He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi He

This figure shows the co-authorship network connecting the top 25 collaborators of Mi He. A scholar is included among the top collaborators of Mi 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 Mi He. Mi 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, Mi, Dapeng Li, Xin Zhang, et al.. (2024). A colorimetric sensor array combined with a hybrid feature selection approach for discrimination of citrus infested by Bactrocera dorsalis (Hendel). Journal of Food Composition and Analysis. 138. 107007–107007. 1 indexed citations
2.
Liu, Bingwen, et al.. (2024). Real-Time Fall Detection Using Wideband Radar and a Lightweight Deep Learning Network. IEEE Sensors Journal. 24(20). 33682–33693.
3.
Xiao, Bin, et al.. (2022). Learning-Refined Integral Null Space Pursuit Algorithm for Noncontact Multisubjects Vital Signs Measurements Using SFCW-UWB and IR-UWB Radar. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 22 indexed citations
4.
Chen, Xiaohong, Xinru Yin, Jingjing Xiao, et al.. (2021). Prediction of Disease Progression of COVID-19 Based upon Machine Learning. International Journal of General Medicine. Volume 14. 1589–1598. 3 indexed citations
5.
Kuang, Hua, et al.. (2021). An Association Rules-Based Method for Outliers Cleaning of Measurement Data in the Distribution Network. Frontiers in Energy Research. 9. 3 indexed citations
6.
Chen, Xiaohong, Jing Liu, Mi He, et al.. (2021). Prediction of Multiple Organ Failure Complicated by Moderately Severe or Severe Acute Pancreatitis Based on Machine Learning: A Multicenter Cohort Study. Mediators of Inflammation. 2021(1). 5525118–5525118. 20 indexed citations
7.
He, Mi, et al.. (2020). Semi-NMF-Based Reconstruction for Hyperspectral Compressed Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4352–4368. 13 indexed citations
8.
He, Mi, et al.. (2020). For hyperspectral compressed sensing method on linear mixed spectrum model. National Remote Sensing Bulletin. 24(3). 277–289. 1 indexed citations
9.
He, Mi, Weibo Zhao, My‐Nhan Nguyen, et al.. (2020). Association between heart rate variability indices and features of spontaneous ventricular tachyarrhythmias in mice. Clinical and Experimental Pharmacology and Physiology. 47(7). 1193–1202. 5 indexed citations
11.
He, Mi, et al.. (2019). Human Fall Detection Based on Machine Learning Using a THz Radar System. 1–5. 14 indexed citations
12.
Wang, Zhongliang, et al.. (2019). Exploring error of linear mixed model for hyperspectral image reconstruction from spectral compressive sensing. Journal of Applied Remote Sensing. 13(3). 1–1. 4 indexed citations
13.
He, Mi, et al.. (2016). Integrated measures for rough sets based on general binary relations. SpringerPlus. 5(1). 117–117. 3 indexed citations
15.
Nian, Yongjian, et al.. (2016). Block-based KLT compression for multispectral images. International Journal of Wavelets Multiresolution and Information Processing. 14(4). 1650029–1650029. 4 indexed citations
17.
Lu, Min, et al.. (2015). Efficient attribute reduction from the viewpoint of discernibility. Information Sciences. 326. 297–314. 35 indexed citations
18.
Li, Yongqin, et al.. (2014). Abstract 309: High Incidences of Postshock Asystole in VF with Low AMSA Values. Circulation. 130. 1 indexed citations
19.
Wang, Zhan, et al.. (2014). Imaging of FMCW MIMO radar with interleaved OFDM waveform. 1944–1948. 2 indexed citations
20.
He, Mi & Lizhi Cheng. (2008). Asymmetric Watermarking Method Based on Subspace Projection. 9. 1446–1452.

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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