What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Gene
- Artificial intelligence
Dong Wang mainly investigates Nanotechnology, Chemical engineering, Artificial intelligence, Membrane and Graphene.
His Nanotechnology research incorporates themes from Optoelectronics, Doping and Perovskite.
The concepts of his Chemical engineering study are interwoven with issues in Polymer chemistry, Polymer, Electrochemistry, Electrode and Filtration.
His biological study spans a wide range of topics, including Machine learning, Data mining and Pattern recognition.
Membrane is a component of his Biofouling and Gas separation studies.
Graphene and Oxide are commonly linked in his work.
His most cited work include:
- Cellular processing of platinum anticancer drugs. (2514 citations)
- Reprogramming transcription by distinct classes of enhancers functionally defined by eRNA (650 citations)
- Electronic structure and carrier mobility in graphdiyne sheet and nanoribbons: theoretical predictions (557 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Speech recognition, Nanotechnology, Chemical engineering and Crystallography.
The Artificial intelligence study combines topics in areas such as Natural language processing, Machine learning and Pattern recognition.
His Speech recognition research is mostly focused on the topic Speaker recognition.
His Crystallography study frequently links to other fields, such as Scanning tunneling microscope.
Scanning tunneling microscope and Molecule are frequently intertwined in his study.
He most often published in these fields:
- Artificial intelligence (12.02%)
- Speech recognition (6.95%)
- Nanotechnology (6.65%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (12.02%)
- Chemical engineering (6.41%)
- Speech recognition (6.95%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Chemical engineering, Speech recognition, Social media and Algorithm.
His Artificial intelligence study combines topics in areas such as Machine learning, Graph and Pattern recognition.
He studies Speaker recognition which is a part of Speech recognition.
His research combines Gaussian and Speaker recognition.
His work on Embedding expands to the thematically related Gaussian.
His Social media study frequently links to related topics such as Data science.
Between 2019 and 2021, his most popular works were:
- RNAInter in 2020: RNA interactome repository with increased coverage and annotation (46 citations)
- RNA sequencing by direct tagmentation of RNA/DNA hybrids (29 citations)
- Monolayer Two-dimensional Molecular Crystals for an Ultrasensitive OFET-based Chemical Sensor. (26 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Gene
- Artificial intelligence
His main research concerns Chemical engineering, Artificial intelligence, Social media, Entropy and Speech recognition.
His Chemical engineering research incorporates elements of Electrochemistry, Anode, Sodium and Transition metal.
His Artificial intelligence research includes elements of Vibration, Fault, Machine learning and Pattern recognition.
He interconnects Misinformation and Data science in the investigation of issues within Social media.
As a part of the same scientific study, Dong Wang usually deals with the Entropy, concentrating on Kurtosis and frequently concerns with Algorithm, Abstract machine, Condition monitoring and Entropy.
Dong Wang specializes in Speech recognition, namely Speaker recognition.
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