Tiecheng Liu
- Endocrine and Autonomic Systems top 0.5%
- Physiology top 5%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Jimo BorjiginChang LiuJiandie D. LinSiming LiJohn R. KenderGeorge A. MashourDinesh PalMichael M. Wang
- Topics
- Circadian rhythm and melatonin (16 papers)Video Analysis and Summarization (15 papers)Advanced Image and Video Retrieval Techniques (14 papers)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Tiecheng Liu
67 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Endocrine and Autonomic Systems 837
- Physiology 484
- Cognitive Neuroscience 425
- Cellular and Molecular Neuroscience 397
- Computer Vision and Pattern Recognition 307
Countries citing papers authored by Tiecheng Liu
This map shows the geographic impact of Tiecheng 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 Tiecheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiecheng Liu more than expected).
Fields of papers citing papers by Tiecheng Liu
This network shows the impact of papers produced by Tiecheng 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 Tiecheng Liu. The network helps show where Tiecheng Liu may publish in the future.
Co-authorship network of co-authors of Tiecheng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Tiecheng Liu. A scholar is included among the top collaborators of Tiecheng 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 Tiecheng Liu. Tiecheng 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 | 2 | |
| 2 | 8 | |
| 3 | 27 | |
| 4 | 18 | |
| 5 | 15 | |
| 6 | 56 | |
| 7 | 116 | |
| 8 | 15 | |
| 9 | 121 | |
| 10 | Optimizing mining association rules based on Artificial Neural Network | 2 |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 17 | |
| 14 | 39 | |
| 15 | 29 | |
| 16 | 24 | |
| 17 | 32 | |
| 18 | 110 | |
| 19 | 15 | |
| 20 | 24 |
About Tiecheng Liu
Tiecheng Liu is a scholar working on Endocrine and Autonomic Systems, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (16 papers), Video Analysis and Summarization (15 papers) and Advanced Image and Video Retrieval Techniques (14 papers). The work is most often cited by research in Endocrine and Autonomic Systems (837 citations), Aging (125 citations) and Cognitive Neuroscience (425 citations). Tiecheng Liu has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Jimo Borjigin, Chang Liu, Jiandie D. Lin, Siming Li, John R. Kender, George A. Mashour, Dinesh Pal, Michael M. Wang, Song Wang and Jie Deng. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological 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.