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Tongtong Shi

Researcher at Tianjin University

Publications -  10
Citations -  118

Tongtong Shi is an academic researcher from Tianjin University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 2, co-authored 3 publications receiving 64 citations.

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Journal ArticleDOI

Bibliometric analysis of insights into soil remediation

TL;DR: Wang et al. as mentioned in this paper performed a quantitative bibliometric analysis based on journal articles published within the past 20 years using the Science Citation Index and Social Sciences Citation Index databases on the Web of Science.
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Pollution control and cost analysis of wastewater treatment at industrial parks in Taihu and Haihe water basins, China

TL;DR: In this article, a comprehensive investigation of water treatment at industrial parks in two large basins in China was carried out, involving comparative and correlation analysis of wastewater quality, pollutant removal, sludge production and cost.
Journal ArticleDOI

Bifunctional zeolitic imidazolate framework-67 coupling with CoNiSe electrocatalyst for efficient hydrazine-assisted water splitting.

TL;DR: In this article , a combined experimental and theoretical investigation of zeolitic imidazolate framework-67 coupling with CoNiSe-3 was presented as an efficient electrocatalyst towards both hydrogen evolution reaction (HER) and HzOR.
Journal ArticleDOI

Highly active bifunctional electrocatalyst: Nanoporous (Ni,Co)0.85Se anchored on rGO for water and hydrazine oxidation

TL;DR: In this paper, a bifunctional (Ni,Co)0.85Se/rGO with nanoporous structure via electrodeposition towards hydrazine electrooxidation (HzOR) and oxygen evolution reaction (OER) was presented.
Proceedings ArticleDOI

Correlation Analysis of Surface Electromyography Signals Based on Mapping Graph Structure

TL;DR: In this article , a correlation analysis algorithm of sEMG signals between multiple sampling points is proposed, and a spatiotemporal structure diagram is constructed to visualize the correlation degree of different sampling points.