L
Lixin Wang
Researcher at Indiana University – Purdue University Indianapolis
Publications - 419
Citations - 13655
Lixin Wang is an academic researcher from Indiana University – Purdue University Indianapolis. The author has contributed to research in topics: Soil water & Biology. The author has an hindex of 53, co-authored 349 publications receiving 9822 citations. Previous affiliations of Lixin Wang include Hebei University of Science and Technology & Wayne State University.
Papers
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Journal ArticleDOI
Stable isotope variations of dew under three different climates
Chao Tian,Kun Du,Lixin Wang,Xiao Zhang,Fadong Li,Wenzhe Jiao,Daniel Beysens,Kudzai Farai Kaseke,M. G. Medici +8 more
TL;DR: In this paper , the authors presented daily dew isotope dataset under three distinct climatic regions (i.e., Gobabeb in the central Namib Desert with desert climate, Nice in France with Mediterranean climate, and Indianapolis in central United States with humid continental climate) using a Triple Water Vapor Isotope Analyzer based on Off-Axis Integrated Cavity Output Spectroscopy technique.
Book ChapterDOI
An Effective Approach for Stepping-Stone Intrusion Detection Using Packet Crossover
TL;DR: Wang et al. as mentioned in this paper proposed an effective network-based approach for SSID using packet crossover, which can effectively determine the length of a downstream connection chain without any pre-assumption about the lengths of a connection chain as well as not requiring a large number of TCP packets being captured and processed.
Journal ArticleDOI
Spatial source apportionment of pollution and health risks in the agricultural soils of Shangla, Northern Pakistan: multistatistical approach
Shah Jehan,Seema Anjum Khattak,Sardar Khan,Lixin Wang,Liaqat Ali,Muhammad Waqas,Mian Luqman Hussain +6 more
Journal ArticleDOI
Detecting Stepping-Stone Intrusion and Resisting Intruders’ Manipulation via Cross-Matching Network Traffic and Random Walk
TL;DR: Wang et al. as discussed by the authors proposed a two-dimensional random walk (RTT) based two-way cross-matching algorithm to resist attackers' chaff attacks. But the proposed algorithm is weak in resisting intruders' session manipulation, such as chaff-perturbation.