Gang Dai
- Renewable Energy, Sustainability and the Environment top 5%
- Materials Chemistry
- Electrical and Electronic Engineering
- Organic Chemistry
- Water Science and Technology
- Topics
- Photoreceptor and optogenetics research (5 papers)Neuroscience and Neuropharmacology Research (4 papers)bioluminescence and chemiluminescence research (3 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentMaterials ChemistryElectrical and Electronic Engineering
- Partner nations
- ChinaJapanSwitzerland
In The Last Decade
Gang Dai
12 papers receiving 394 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Renewable Energy, Sustainability and the Environment 317
- Materials Chemistry 261
- Electrical and Electronic Engineering 164
- Organic Chemistry 41
- Water Science and Technology 22
Countries citing papers authored by Gang Dai
This map shows the geographic impact of Gang Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Dai more than expected).
Fields of papers citing papers by Gang Dai
This network shows the impact of papers produced by Gang Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gang Dai. The network helps show where Gang Dai may publish in the future.
Co-authorship network of co-authors of Gang Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Dai. A scholar is included among the top collaborators of Gang Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Dai. Gang Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 56 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | High-efficient charge separation driven directionally by pyridine rings grafted on carbon nitride edge for boosting photocatalytic hydrogen evolutionbreakdown → | 263 |
| 9 | 0 | |
| 10 | Soil bacterial community diversity under different degrees of saline-alkaline in the Hetao Area of Inner Mongolia. | 5 |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 35 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 0 |
About Gang Dai
Gang Dai is a scholar working on Renewable Energy, Sustainability and the Environment, Cellular and Molecular Neuroscience and Water Science and Technology, having authored 16 papers that have together received 401 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and bioluminescence and chemiluminescence research (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (317 citations), Materials Chemistry (261 citations) and Electrical and Electronic Engineering (164 citations). Gang Dai has collaborated with scholars based in China, Japan and Switzerland. Frequent co-authors include Chunmei Li, Hongjun Dong, Daqiang Zhu, Fei Ge, Huihui Wu, Gang Chen, Jingxue Sun, Ming Yan, Fei Ge and Ning Song. Their work appears in journals such as Biochemistry, Applied Catalysis B: Environmental and The Journal of Organic Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.