Publication data of Niu, Zhong-Ming: Link to Inspire

Created with Highcharts 9.0.1CitationsCitationsw/o self-citaionself-citaion20082010201220142016201820202022202405001000150020002500
Created with Highcharts 9.0.1Publicationspublications per yearPublicationsPublications per yearCumulative publications20082010201220142016201820202022202403060901201500612182430
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Created with Highcharts 9.0.1CitationsBreakdown of Most Cited PapersrestHigh precision nuclear mass predictions towards a hundred kilo-electron-volt accuracyHigh precision nuclear mass predictions towards a hundred kilo-electron-volt …Mass predictions of the relativistic mean-field model with the radial basis function approachMass predictions of the relativistic mean-field model with the radial basis fun…Global dynamical correlation energies in covariant density functional theory: cranking approximationGlobal dynamical correlation energies in covariant density functional theory: …Comparative study of radial basis function and Bayesian neural network approaches in nuclear mass predictionsComparative study of radial basis function and Bayesian neural network appr…Interplay of quasiparticle-vibration coupling and pairing correlations on β -decay half-livesInterplay of quasiparticle-vibration coupling and pairing correlations on β -de…Reexamining the temperature and neutron density conditions for $r$-process nucleosynthesis with augmented nuclear mass modelsReexamining the temperature and neutron density conditions for $r$-proces…Nuclear $eta^+$/EC decays in covariant density functional theory and the impact of isoscalar proton-neutron pairingNuclear $eta^+$/EC decays in covariant density functional theory and the i…Feasibility of the finite amplitude method in covariant density functional theoryFeasibility of the finite amplitude method in covariant density functional theo…Radial basis function approach in nuclear mass predictionsProbing Resonances of the Dirac Equation with Complex Momentum RepresentationProbing Resonances of the Dirac Equation with Complex Momentum Represe…Influence of nuclear physics inputs and astrophysical conditions on Th/U chronometerInfluence of nuclear physics inputs and astrophysical conditions on Th/U chr…Pairing transitions in the finite-temperature relativistic Hartree-Bogoliubov theoryPairing transitions in the finite-temperature relativistic Hartree-Bogoliubov th…Machine learning in nuclear physics at low and intermediate energiesNuclear mass predictions with machine learning reaching the accuracy required by r-process studiesNuclear mass predictions with machine learning reaching the accuracy requi…r-process studiesSelf-consistent relativistic quasiparticle random-phase approximation and its applications to charge-exchange excitationsSelf-consistent relativistic quasiparticle random-phase approximation and its …Particle-vibration coupling effect on the $eta$-decay of magic nucleiPredictions of nuclear β -decay half-lives with machine learning and their impact on r -process nucleosynthesisPredictions of nuclear β -decay half-lives with machine learning and their imp…$eta$-decay half-lives of neutron-rich nuclei and matter flow in the $r$-process$eta$-decay half-lives of neutron-rich nuclei and matter flow in the $r$-proc…Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effectsNuclear mass predictions based on Bayesian neural network approach with p…20082010201220142016201820202022202405001000150020002500
Created with Highcharts 9.0.1Fraction [%]Breakdown of Most Cited Papers (Fraction)High precision nuclear mass predictions towards a hundred kilo-electron-volt accuracyHigh precision nuclear mass predictions towards a hundred kilo-electron-volt …Mass predictions of the relativistic mean-field model with the radial basis function approachMass predictions of the relativistic mean-field model with the radial basis fun…Global dynamical correlation energies in covariant density functional theory: cranking approximationGlobal dynamical correlation energies in covariant density functional theory: …Comparative study of radial basis function and Bayesian neural network approaches in nuclear mass predictionsComparative study of radial basis function and Bayesian neural network appr…Interplay of quasiparticle-vibration coupling and pairing correlations on β -decay half-livesInterplay of quasiparticle-vibration coupling and pairing correlations on β -de…Reexamining the temperature and neutron density conditions for $r$-process nucleosynthesis with augmented nuclear mass modelsReexamining the temperature and neutron density conditions for $r$-proces…Nuclear $eta^+$/EC decays in covariant density functional theory and the impact of isoscalar proton-neutron pairingNuclear $eta^+$/EC decays in covariant density functional theory and the i…Feasibility of the finite amplitude method in covariant density functional theoryFeasibility of the finite amplitude method in covariant density functional theo…Radial basis function approach in nuclear mass predictionsProbing Resonances of the Dirac Equation with Complex Momentum RepresentationProbing Resonances of the Dirac Equation with Complex Momentum Represe…Influence of nuclear physics inputs and astrophysical conditions on Th/U chronometerInfluence of nuclear physics inputs and astrophysical conditions on Th/U chr…Pairing transitions in the finite-temperature relativistic Hartree-Bogoliubov theoryPairing transitions in the finite-temperature relativistic Hartree-Bogoliubov th…Machine learning in nuclear physics at low and intermediate energiesNuclear mass predictions with machine learning reaching the accuracy required by r-process studiesNuclear mass predictions with machine learning reaching the accuracy requi…r-process studiesSelf-consistent relativistic quasiparticle random-phase approximation and its applications to charge-exchange excitationsSelf-consistent relativistic quasiparticle random-phase approximation and its …Particle-vibration coupling effect on the $eta$-decay of magic nucleiPredictions of nuclear β -decay half-lives with machine learning and their impact on r -process nucleosynthesisPredictions of nuclear β -decay half-lives with machine learning and their imp…$eta$-decay half-lives of neutron-rich nuclei and matter flow in the $r$-process$eta$-decay half-lives of neutron-rich nuclei and matter flow in the $r$-proc…Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effectsNuclear mass predictions based on Bayesian neural network approach with p…2008201020122014201620182020202220240255075100
Created with Highcharts 9.0.1Citations/1 YearCitations/PeriodCitations / 1 YearMoving average2008201020122014201620182020202220240100200300400500600