Jiechun Liang
- Materials Chemistry
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Computational Theory and Mathematics top 10%
- Atomic and Molecular Physics, and Optics
- Topics
- Machine Learning in Materials Science (10 papers)Computational Drug Discovery Methods (4 papers)Perovskite Materials and Applications (4 papers)
In The Last Decade
Jiechun Liang
19 papers receiving 463 citations
Peers
Comparison fields: 5 of 74
- Materials Chemistry 293
- Electrical and Electronic Engineering 234
- Electronic, Optical and Magnetic Materials 104
- Computational Theory and Mathematics 56
- Atomic and Molecular Physics, and Optics 49
Countries citing papers authored by Jiechun Liang
This map shows the geographic impact of Jiechun 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 Jiechun Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiechun Liang more than expected).
Fields of papers citing papers by Jiechun Liang
This network shows the impact of papers produced by Jiechun 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 Jiechun Liang. The network helps show where Jiechun Liang may publish in the future.
Co-authorship network of co-authors of Jiechun Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Jiechun Liang. A scholar is included among the top collaborators of Jiechun 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 Jiechun Liang. Jiechun 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 | 1 | |
| 2 | 5 | |
| 3 | 83 | |
| 4 | 46 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 77 | |
| 8 | 4 | |
| 9 | 30 | |
| 10 | 7 | |
| 11 | 39 | |
| 12 | 21 | |
| 13 | 30 | |
| 14 | 26 | |
| 15 | 19 | |
| 16 | 45 | |
| 17 | 13 | |
| 18 | 8 | |
| 19 | 10 |
About Jiechun Liang
Jiechun Liang is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Electronic, Optical and Magnetic Materials, having authored 19 papers that have together received 472 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (10 papers), Computational Drug Discovery Methods (4 papers) and Perovskite Materials and Applications (4 papers). The work is most often cited by research in Materials Chemistry (293 citations), Electronic, Optical and Magnetic Materials (104 citations) and Electrical and Electronic Engineering (234 citations). Jiechun Liang has collaborated with scholars based in China, Hong Kong and Maldives. Frequent co-authors include Xi Zhu, Junzi Li, Tingchao He, Changshun Wang, Zhihang Guo, Rulin Liu, Yu Zhao, Linfeng Hu, Jiaji Cheng and Ruikun Pan. Their work appears in journals such as Angewandte Chemie International Edition, Nano Letters and The Journal of Physical Chemistry C.
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.