Zhun Liu
- Materials Chemistry top 10%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 5%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Louis–Philippe MorencyPaul Pu LiangYing ShenAmirAli Bagher ZadehAmir ZadehYansen WangLijun ZhangJoseph Wang
- Topics
- Perovskite Materials and Applications (9 papers)2D Materials and Applications (9 papers)Advanced Photocatalysis Techniques (6 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhun Liu
67 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Materials Chemistry 720
- Artificial Intelligence 712
- Electrical and Electronic Engineering 703
- Experimental and Cognitive Psychology 305
- Computer Vision and Pattern Recognition 269
Countries citing papers authored by Zhun Liu
This map shows the geographic impact of Zhun Liu'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 Zhun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhun Liu more than expected).
Fields of papers citing papers by Zhun Liu
This network shows the impact of papers produced by Zhun Liu. 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 Zhun Liu. The network helps show where Zhun Liu may publish in the future.
Co-authorship network of co-authors of Zhun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhun Liu. A scholar is included among the top collaborators of Zhun Liu 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 Zhun Liu. Zhun Liu 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 | 7 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 68 | |
| 12 | 22 | |
| 13 | Efficient Low-rank Multimodal Fusion With Modality-Specific Factorsbreakdown → | 614 |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 174 | |
| 17 | RESEARCH ON NEW SENSOR MEASURING ELECTROMAGNETISM RADIATION | 1 |
| 18 | Recursive damped least square and its application in INS/DS integrated system | 1 |
| 19 | New Fault Detection Structure and Algorithm Based on Federated Filter | 3 |
| 20 | 1 |
About Zhun Liu
Zhun Liu is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Polymers and Plastics, having authored 73 papers that have together received 2.2k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (9 papers), 2D Materials and Applications (9 papers) and Advanced Photocatalysis Techniques (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (305 citations), Artificial Intelligence (712 citations) and Computational Mathematics (10 citations). Zhun Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Louis–Philippe Morency, Paul Pu Liang, Ying Shen, AmirAli Bagher Zadeh, Amir Zadeh, Ying Shen, Yansen Wang, Lijun Zhang, Joseph Wang and Guanjun Xiao. Their work appears in journals such as Advanced Materials, Nature Communications and Environmental Science & Technology.
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.