D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 36 Citations 36,105 208 World Ranking 6922 National Ranking 58

Overview

What is he best known for?

The fields of study he is best known for:

  • Surgery
  • Internal medicine
  • Pathology

His main research concerns Audiology, Endoscopic ear surgery, Surgery, Cochlear implant and Middle ear. His Audiology research includes themes of Auditory Brain Stem Implants, Auditory brainstem implant, Inferior colliculus and Neuroscience. His Endoscopic ear surgery study results in a more complete grasp of Endoscope.

As a part of the same scientific study, Daniel J. Lee usually deals with the Endoscope, concentrating on Endoscopy and frequently concerns with Temporal bone, Round window and Suction. His Cochlear implant research is multidisciplinary, incorporating elements of Speech perception, Inner ear and Implant. His Dysplasia research incorporates elements of Head and neck cancer, Carcinoma in situ, Carcinoma, Field cancerization and Tumor progression.

His most cited work include:

  • 5' CpG island methylation is associated with transcriptional silencing of the tumour suppressor p16/CDKN2/MTS1 in human cancers. (1774 citations)
  • Genetic progression model for head and neck cancer: Implications for field cancerization (1141 citations)
  • Microsatellite alterations as clonal markers for the detection of human cancer. (426 citations)

What are the main themes of his work throughout his whole career to date?

Daniel J. Lee focuses on Surgery, Audiology, Endoscopic ear surgery, Superior canal dehiscence and Cochlear implant. In his research on the topic of Audiology, Cochlear nerve and Electrode array is strongly related with Auditory brainstem implant. His Endoscopic ear surgery research integrates issues from Endoscopy and Otology.

Daniel J. Lee combines subjects such as General surgery and Neurotology with his study of Otology. His Superior canal dehiscence study combines topics from a wide range of disciplines, such as Bone conduction and Etiology. His Cochlear implant study which covers Cochlea that intersects with Brainstem and Inner ear.

He most often published in these fields:

  • Surgery (49.83%)
  • Audiology (29.69%)
  • Endoscopic ear surgery (24.57%)

What were the highlights of his more recent work (between 2019-2021)?

  • Surgery (49.83%)
  • Endoscopic ear surgery (24.57%)
  • Otology (13.65%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Surgery, Endoscopic ear surgery, Otology, Endoscope and Radiology. His Surgery study incorporates themes from Cochlear implantation, Cochlear implant and Significant difference. In Significant difference, Daniel J. Lee works on issues like Radiological weapon, which are connected to Audiology.

Daniel J. Lee is investigating Endoscopic ear surgery as part of his inquiry into Cholesteatoma and Middle ear. His Otology research is multidisciplinary, relying on both Cochlear nerve, Tinnitus, Mastoidectomy, Neurotology and Otorhinolaryngology. Daniel J. Lee focuses mostly in the field of Endoscope, narrowing it down to topics relating to General surgery and, in certain cases, Tympanic cavity.

Between 2019 and 2021, his most popular works were:

  • Demonstration and Mitigation of Aerosol and Particle Dispersion During Mastoidectomy Relevant to the COVID-19 Era. (35 citations)
  • Aerosol Dispersion During Mastoidectomy and Custom Mitigation Strategies for Otologic Surgery in the COVID-19 Era. (12 citations)
  • American Neurotology Society, American Otological Society, and American Academy of Otolaryngology - Head and Neck Foundation Guide to Enhance Otologic and Neurotologic Care During the COVID-19 Pandemic. (6 citations)

In his most recent research, the most cited papers focused on:

  • Surgery
  • Internal medicine
  • Pathology

Daniel J. Lee spends much of his time researching Surgery, Auditory brainstem implant, Mastoidectomy, Otology and Endoscopic ear surgery. He integrates Surgery and Qualitative analysis in his studies. Daniel J. Lee interconnects Fractional anisotropy, Diffusion MRI and Electrode array in the investigation of issues within Auditory brainstem implant.

Daniel J. Lee has included themes like Biomedical engineering and Microscopy in his Mastoidectomy study. His Otology research includes elements of Neurotology, Otorhinolaryngology, Best practice and Medical emergency. Endoscopic ear surgery is a subfield of Cholesteatoma that Daniel J. Lee tackles.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Learning the parts of objects by non-negative matrix factorization

Daniel D. Lee;H. Sebastian Seung;H. Sebastian Seung.
Nature (1999)

14241 Citations

Learning the parts of objects by non-negative matrix factorization

Daniel D. Lee;H. Sebastian Seung;H. Sebastian Seung.
Nature (1999)

14241 Citations

Stan: A Probabilistic Programming Language

Bob Carpenter;Andrew Gelman;Matthew D. Hoffman;Daniel Lee.
Journal of Systems and Software (2017)

9460 Citations

Stan: A Probabilistic Programming Language

Bob Carpenter;Andrew Gelman;Matthew D. Hoffman;Daniel Lee.
Journal of Systems and Software (2017)

9460 Citations

Algorithms for Non-negative Matrix Factorization

Daniel D. Lee;H. Sebastian Seung.
neural information processing systems (2000)

4806 Citations

Algorithms for Non-negative Matrix Factorization

Daniel D. Lee;H. Sebastian Seung.
neural information processing systems (2000)

4806 Citations

The manifold ways of perception

H. Sebastian Seung;Daniel D. Lee.
Science (2000)

1115 Citations

A kernel view of the dimensionality reduction of manifolds

Jihun Ham;Daniel D. Lee;Sebastian Mika;Bernhard Schölkopf.
international conference on machine learning (2004)

660 Citations

A kernel view of the dimensionality reduction of manifolds

Jihun Ham;Daniel D. Lee;Sebastian Mika;Bernhard Schölkopf.
international conference on machine learning (2004)

660 Citations

Grassmann discriminant analysis: a unifying view on subspace-based learning

Jihun Hamm;Daniel D. Lee.
international conference on machine learning (2008)

658 Citations

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