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Jun Fan

Researcher at Missouri University of Science and Technology

Publications -  505
Citations -  7033

Jun Fan is an academic researcher from Missouri University of Science and Technology. The author has contributed to research in topics: Printed circuit board & Equivalent circuit. The author has an hindex of 36, co-authored 482 publications receiving 5641 citations. Previous affiliations of Jun Fan include Ulsan National Institute of Science and Technology & University of Missouri.

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Journal ArticleDOI

TEM-Like Launch Geometries and Simplified De-embedding for Accurate Through Silicon Via Characterization

Francesco de Paulis, +8 more
- 06 Feb 2017 - 
TL;DR: Novel de-embedding launch geometries and a simplified analytical procedure are proposed to extract the exact electromagnetic behavior of a through silicon via (TSV) pair from measured data.
Proceedings ArticleDOI

Measurement and correlation-based methodology for estimating worst-case skew due to glass weave effect

Kartheek Nalla, +5 more
TL;DR: In this article, a method that utilizes a set of measurements and numerical models to estimate worst-case skew for the aforementioned effect is described, where cross-sections are analyzed with Scanning Electron Microscope (SEM) for precise measurements.
Proceedings ArticleDOI

Applying the Multiple Scattering (MS) Method to Evaluate the Current Response on a Cable Harness Due to an Incident Plane Wave

Yansheng Wang, +5 more
TL;DR: In this paper, the MS method is applied to solve an immunity problem of harness-body co-simulation, where the harness is solved using the generalized multiconductor transmission-line (GMTL) solver and the body is solved by the mixed-potential integral equation (MPIE) solvers.
Journal ArticleDOI

Identifying Interference From Multiple Noise Sources by Magnetic Near Fields Only

Jingnan Pan, +2 more
- 01 Oct 2019 - 
TL;DR: In this article, the authors proposed a method to identify the interference from different noise sources separately, even when they are radiating at the same time, using the decomposition method based on reciprocity theory.
Journal ArticleDOI

Source Reconstruction in Near-Field Scanning Using Inverse MoM for RFI Application

Hossein Rezaei, +7 more
- 09 Jul 2020 - 
TL;DR: In this paper, the authors used a method of moment approach to predict the high-frequency near electric and magnetic fields from a component using a near electric-field scan by solving the electric field integral equation.