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Hui Ding

Researcher at University of Electronic Science and Technology of China

Publications -  109
Citations -  9721

Hui Ding is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Pseudo amino acid composition & Medicine. The author has an hindex of 45, co-authored 95 publications receiving 7970 citations. Previous affiliations of Hui Ding include Inner Mongolia University & University of Science and Technology of China.

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Metallic nickel nitride nanosheets realizing enhanced electrochemical water oxidation.

TL;DR: The finding suggests that metallic nitride nanosheets could serve as a new group of OER electrocatalysts with excellent property, and benefitting from enhanced electrical conductivity with metallic behavior and atomically disordered structure compared with bulk Ni3N and NiO nanOSheets.
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Metallic Co4N Porous Nanowire Arrays Activated by Surface Oxidation as Electrocatalysts for the Oxygen Evolution Reaction

TL;DR: This work developed metallic Co4N porous nanowire arrays directly grown on flexible substrates as highly active OER electrocatalysts for the first time, which is the best OER performance among reported Co-based electrocatalyst performance to date.
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iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition.

TL;DR: It was discovered through an in-depth statistical analysis that the distribution of distances between the transcription start sites and the translation initiation sites were governed by the gamma distribution, which may provide a fundamental physical principle for studying the σ54 promoters.
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Strong-Coupled Cobalt Borate Nanosheets/Graphene Hybrid as Electrocatalyst for Water Oxidation Under Both Alkaline and Neutral Conditions

TL;DR: The synthesis of a category of Co-Pi analogue, namely cobalt-based borate (Co-Bi ) ultrathin nanosheets/graphene hybrid by a room-temperature synthesis approach is reported, which shows high catalytic activity and promising performance under neutral conditions.
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iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition

TL;DR: iNuc-PseKNC, a predictor developed for predicting nucleosome positioning in Homo sapiens, Caenorhabditis elegans and Drosophila melanogaster genomes, remarkably outperformed its counterparts on various benchmark datasets used by the previous investigators.