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 37 Citations 5,369 162 World Ranking 6866 National Ranking 3245

Overview

What is he best known for?

The fields of study Yongfeng Zhang is best known for:

  • Oxygen
  • Electron
  • Polymer

His study looks at the intersection of Grain boundary and topics like Microstructure with Composite material. As part of his studies on Composite material, he often connects relevant subjects like Microstructure. His Organic chemistry study frequently draws connections between adjacent fields such as Phase (matter) and Polymer. He combines Polymer and Organic chemistry in his research. His Optics study frequently draws connections to other fields, such as Fluorescence. His Optoelectronics study frequently draws connections to other fields, such as Luminescence. His research on Luminescence often connects related areas such as Optoelectronics. In his papers, Yongfeng Zhang integrates diverse fields, such as Photochemistry and Fluorescence.

His most cited work include:

  • Unconventional hydrocarbon resources in China and the prospect of exploration and development (524 citations)
  • Explainable Recommendation: A Survey and New Perspectives (272 citations)
  • Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation (198 citations)

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

The scientist’s investigation covers issues in Organic chemistry, Composite material, Quantum mechanics, Thermodynamics, Nanotechnology, Metallurgy, Chemical engineering, Biochemistry, Optoelectronics, Crystallography, Condensed matter physics, Artificial intelligence and Optics.

Yongfeng Zhang most often published in these fields:

  • Organic chemistry (32.19%)
  • Composite material (28.33%)
  • Quantum mechanics (19.31%)

What were the highlights of his more recent work (between 2020-2022)?

  • Organic chemistry (42.42%)
  • Nanotechnology (36.36%)
  • Composite material (33.33%)

In recent works Yongfeng Zhang was focusing on the following fields of study:

His study in the fields of Organic chemistry under the domain of Catalysis overlaps with other disciplines such as Chemical engineering. He merges many fields, such as Organic chemistry and Catalysis, in his writings. His work on Crystallography as part of general Vacancy defect study is frequently linked to Chemical physics and Thermodynamics, bridging the gap between disciplines. Crystallography and Vacancy defect are commonly linked in his work. Yongfeng Zhang integrates several fields in his works, including Composite material and Polymer. Yongfeng Zhang combines Polymer and Composite material in his research. Yongfeng Zhang undertakes interdisciplinary study in the fields of Fluorescence and Photochemistry through his works. He applies his multidisciplinary studies on Photochemistry and Fluorescence in his research. Much of his study explores Optoelectronics relationship to Visible spectrum.

Between 2020 and 2022, his most popular works were:

  • Ultraviolet irradiation-responsive dynamic ultralong organic phosphorescence in polymeric systems (123 citations)
  • Large-Area, Flexible, Transparent, and Long-Lived Polymer-Based Phosphorescence Films (115 citations)
  • Cross-Linked Polyphosphazene Nanospheres Boosting Long-Lived Organic Room-Temperature Phosphorescence (49 citations)

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

  • Fluorescence
  • Polymer
  • Phosphor

While the research belongs to areas of Phosphonium, Yongfeng Zhang spends his time largely on the problem of Polymer chemistry, intersecting his research to questions surrounding Click chemistry. He combines topics linked to Polymer chemistry with his work on Click chemistry. Yongfeng Zhang links relevant scientific disciplines such as Chromophore and Carbazole in the realm of Photochemistry. He performs multidisciplinary study on Chromophore and Fluorescence in his works. He integrates Fluorescence and Pyrene in his studies. His research is interdisciplinary, bridging the disciplines of Organic chemistry and Pyrene. His studies link Amorphous solid with Organic chemistry. In his articles, he combines various disciplines, including Amorphous solid and Polymer. Polymer and Polyphosphazene are two areas of study in which he engages in interdisciplinary research.

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

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis

Yongfeng Zhang;Guokun Lai;Min Zhang;Yi Zhang.
international acm sigir conference on research and development in information retrieval (2014)

634 Citations

Sequential Recommendation with User Memory Networks

Xu Chen;Hongteng Xu;Yongfeng Zhang;Jiaxi Tang.
web search and data mining (2018)

338 Citations

Explainable Recommendation: A Survey and New Perspectives

Yongfeng Zhang;Xu Chen.
Foundations and Trends in Information Retrieval (2020)

315 Citations

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources

Yongfeng Zhang;Qingyao Ai;Xu Chen;W. Bruce Croft.
conference on information and knowledge management (2017)

222 Citations

Towards Conversational Search and Recommendation: System Ask, User Respond

Yongfeng Zhang;Xu Chen;Qingyao Ai;Liu Yang.
conference on information and knowledge management (2018)

219 Citations

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

Yikun Xian;Zuohui Fu;S. Muthukrishnan;Gerard de Melo.
international acm sigir conference on research and development in information retrieval (2019)

210 Citations

Learning heterogeneous knowledge base embeddings for explainable recommendation

Qingyao Ai;Vahid Azizi;Xu Chen;Yongfeng Zhang.
Algorithms (2018)

193 Citations

Learning to Rank Features for Recommendation over Multiple Categories

Xu Chen;Zheng Qin;Yongfeng Zhang;Tao Xu.
international acm sigir conference on research and development in information retrieval (2016)

130 Citations

Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems

Liu Yang;Minghui Qiu;Chen Qu;Jiafeng Guo.
international acm sigir conference on research and development in information retrieval (2018)

118 Citations

BERT with History Answer Embedding for Conversational Question Answering

Chen Qu;Liu Yang;Minghui Qiu;W. Bruce Croft.
international acm sigir conference on research and development in information retrieval (2019)

109 Citations

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