Tianchi Liu
- Mechanical Engineering top 5%
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence top 10%
- Inorganic Chemistry top 10%
- Co-authors
- Ji ChenGuang-Bin HuangZhiping LinHailian LiYan YangKai LiZewei LuoChamara Kasun Liyanaarachchi Lekamalage
- Topics
- Extraction and Separation Processes (10 papers)Machine Learning and ELM (7 papers)Face and Expression Recognition (6 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionNature Communications
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Tianchi Liu
39 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Mechanical Engineering 458
- Electrical and Electronic Engineering 247
- Industrial and Manufacturing Engineering 212
- Artificial Intelligence 160
- Inorganic Chemistry 144
Countries citing papers authored by Tianchi Liu
This map shows the geographic impact of Tianchi 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 Tianchi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianchi Liu more than expected).
Fields of papers citing papers by Tianchi Liu
This network shows the impact of papers produced by Tianchi 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 Tianchi Liu. The network helps show where Tianchi Liu may publish in the future.
Co-authorship network of co-authors of Tianchi Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Tianchi Liu. A scholar is included among the top collaborators of Tianchi 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 Tianchi Liu. Tianchi 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 | 7 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 13 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 22 | |
| 8 | 7 | |
| 9 | 13 | |
| 10 | 11 | |
| 11 | Extraction and separation of heavy rare earth elements: A reviewbreakdown → | 207 |
| 12 | 63 | |
| 13 | 8 | |
| 14 | 12 | |
| 15 | 33 | |
| 16 | 77 | |
| 17 | 13 | |
| 18 | 46 | |
| 19 | 10 | |
| 20 | Human activity recognition based on triaxial accelerometer | 4 |
About Tianchi Liu
Tianchi Liu is a scholar working on Geochemistry and Petrology, Industrial and Manufacturing Engineering and Inorganic Chemistry, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Extraction and Separation Processes (10 papers), Machine Learning and ELM (7 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (212 citations), Geochemistry and Petrology (81 citations) and Mechanical Engineering (458 citations). Tianchi Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Ji Chen, Guang-Bin Huang, Zhiping Lin, Hailian Li, Yan Yang, Kai Li, Zewei Luo, Chamara Kasun Liyanaarachchi Lekamalage, Deqian Li and Xiaohua Hu. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.
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.