Haichao Liang
- Renewable Energy, Sustainability and the Environment top 5%
- Materials Chemistry
- Electrical and Electronic Engineering
- Polymers and Plastics top 10%
- Water Science and Technology top 10%
- Topics
- Advanced Memory and Neural Computing (6 papers)Neuroscience and Neural Engineering (6 papers)TiO2 Photocatalysis and Solar Cells (5 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentPolymers and PlasticsWater Science and Technology
In The Last Decade
Haichao Liang
21 papers receiving 687 citations
Peers
Comparison fields: 5 of 66
- Renewable Energy, Sustainability and the Environment 457
- Materials Chemistry 253
- Electrical and Electronic Engineering 184
- Polymers and Plastics 144
- Water Science and Technology 110
Countries citing papers authored by Haichao Liang
This map shows the geographic impact of Haichao Liang'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 Haichao Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haichao Liang more than expected).
Fields of papers citing papers by Haichao Liang
This network shows the impact of papers produced by Haichao Liang. 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 Haichao Liang. The network helps show where Haichao Liang may publish in the future.
Co-authorship network of co-authors of Haichao Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Haichao Liang. A scholar is included among the top collaborators of Haichao Liang 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 Haichao Liang. Haichao Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A CONTINUOUS FINITE-TIME ATTITUDE SYNCHRONIZATION APPROACH FOR SPACECRAFT FORMATIONS WITH COMMUNICATION DELAYS | 3 |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 26 | |
| 10 | 35 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 132 | |
| 15 | 160 | |
| 16 | 187 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 70 |
About Haichao Liang
Haichao Liang is a scholar working on Cellular and Molecular Neuroscience, Renewable Energy, Sustainability and the Environment and Process Chemistry and Technology, having authored 21 papers that have together received 706 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Neuroscience and Neural Engineering (6 papers) and TiO2 Photocatalysis and Solar Cells (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (457 citations), Polymers and Plastics (144 citations) and Water Science and Technology (110 citations). Haichao Liang has collaborated with scholars based in Japan, Hong Kong and China. Frequent co-authors include Xiangzhong Li, Yinhua Yang, Enlong Yang, Jingjing Shi, Lu Wang, Fang Chen, Zhenghua Deng, Rengui Li, Ling Ding and Takashi Morie. Their work appears in journals such as Journal of Hazardous Materials, Applied Catalysis B: Environmental and Chemical Engineering Journal.
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.