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
Engineering and Technology D-index 72 Citations 19,905 828 World Ranking 416 National Ranking 50
Materials Science D-index 59 Citations 11,419 364 World Ranking 4604 National Ranking 1161
Chemistry D-index 60 Citations 12,010 411 World Ranking 6395 National Ranking 899


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.

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

A novel high flux poly(trimethylene terephthalate) nanofiber membrane for microfiltration media

Mufang Li;Dong Wang;Ru Xiao;Gang Sun;Gang Sun.
Separation and Purification Technology (2013)

464 Citations

Oxygen-Aided Synthesis of Polycrystalline Graphene on Silicon Dioxide Substrates

Jianyi Chen;Yugeng Wen;Yunlong Guo;Bin Wu.
Journal of the American Chemical Society (2011)

328 Citations

On-surface synthesis of single-layered two-dimensional covalent organic frameworks via solid-vapor interface reactions.

Xuan-He Liu;Cui-Zhong Guan;San-Yuan Ding;Wei Wang.
Journal of the American Chemical Society (2013)

304 Citations

Efficient water oxidation catalyzed by homogeneous cationic cobalt porphyrins with critical roles for the buffer base

Dong Wang;John Taylor Groves.
Proceedings of the National Academy of Sciences of the United States of America (2013)

299 Citations

Mesoporous Transition Metal Oxides for Supercapacitors.

Yan Wang;Jin Guo;Tingfeng Wang;Junfeng Shao.
Nanomaterials (2015)

280 Citations

Graphene‐Like Single‐Layered Covalent Organic Frameworks: Synthesis Strategies and Application Prospects

Xuan-He Liu;Cui-Zhong Guan;Dong Wang;Li-Jun Wan.
Advanced Materials (2014)

258 Citations

Construction and repair of highly ordered 2D covalent networks by chemical equilibrium regulation.

Cui-Zhong Guan;Dong Wang;Li-Jun Wan.
Chemical Communications (2012)

237 Citations

Stretchable conductive polypyrrole/polyurethane (PPy/PU) strain sensor with netlike microcracks for human breath detection.

Mufang Li;Haiying Li;Weibing Zhong;Qinghua Zhao.
ACS Applied Materials & Interfaces (2014)

233 Citations

Bio-inspired surface-functionalization of graphene oxide for the adsorption of organic dyes and heavy metal ions with a superhigh capacity

Zhihui Dong;Dong Wang;Xia Liu;Xianfeng Pei.
Journal of Materials Chemistry (2014)

232 Citations

A strategy for depositing different types of cells in three dimensions to mimic tubular structures in tissues.

Bo Yuan;Yu Jin;Yi Sun;Dong Wang.
Advanced Materials (2012)

232 Citations

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Best Scientists Citing Dong Wang

Alexander Belyaev

Alexander Belyaev

University of Southampton

Publications: 386

Markus Klute

Markus Klute


Publications: 366

Wit Busza

Wit Busza


Publications: 359

Jovan Milosevic

Jovan Milosevic

University of Belgrade

Publications: 344

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