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Hong Wang

Researcher at Northeastern University (China)

Publications -  561
Citations -  10554

Hong Wang is an academic researcher from Northeastern University (China). The author has contributed to research in topics: Nonlinear system & Probability density function. The author has an hindex of 47, co-authored 510 publications receiving 8952 citations. Previous affiliations of Hong Wang include Zhejiang University & Shenyang Institute of Automation.

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Heterogeneous reaction of NO2 with feldspar, three clay minerals and Arizona Test Dust.

TL;DR: In this article , the authors investigated heterogeneous reactions of NO2 (∼10 ppmv) with K-feldspar, illite, kaolinite, montmorillonite and Arizona Test Dust (ATD) at room temperature as a function of relative humidity and reaction time (up to 24 hours).
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Real-time measurement of phase partitioning of organic compounds using a proton-transfer-reaction time-of-flight mass spectrometer coupled to a CHARON inlet

TL;DR: In this article , the authors quantified the gas vs. particle-phase fractions of a large number of semivolatile organic compounds (SVOCs) in real time in an urban area of East China with the use of a CHEMICAL Analysis of aeRosols ONLINE (CHARON) inlet coupled to a high-resolution proton-transfer-reaction time-of-flight mass spectrometer.
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Biochar Addition in Membrane Bioreactor Enables Membrane Fouling Alleviation and Nitrogen Removal Improvement for Low C/N Municipal Wastewater Treatment

TL;DR: In this paper , a cost-effective biochar addition was proposed to improve the membrane fouling and nitrogen removal in municipal wastewater, which significantly altered the mixed liquor suspension with soluble microbial product (SMP) concentration reduction of approximately 14%.
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On the sensitivity of the control structure selection problem in large-scale multivariable systems

TL;DR: In this article, a set of graphical analysis tools based on basis pursuit regularization methods are presented that provide significant insight into the control structure selection problem in complex manufacturing processes, and how these tools are used directly to assess the local structural sensitivity of the problem and to identify key and important connections within the controller.