Ju Tian
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
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- Functional Brain Connectivity Studies 7
- Neural dynamics and brain function 7
- Urology 11
- Periodontal Regeneration and Treatments 11
- Co-authors
- Naoshige Uchida (6 shared papers)Neir Eshel (4 shared papers)Yu‐Guang Yang (8 shared papers)Peng Xu (6 shared papers)Vinod Rao (1 shared paper)Mitsuko Watabe‐Uchida (2 shared papers)Si-Jia Sun (3 shared papers)Yi‐Hua Zhou (1 shared paper)
- Journals
- Psychiatry Research Neuroimaging (3 papers)Optik (3 papers)Quantum Information Processing (3 papers)Annals of Oncology (2 papers)Neuron (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ju Tian
49 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 623
- Cellular and Molecular Neuroscience 567
- Behavioral Neuroscience 34
- Artificial Intelligence 311
- Urology 50
Countries citing papers authored by Ju Tian
This map shows the geographic impact of Ju Tian'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 Ju Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Tian more than expected).
Fields of papers citing papers by Ju Tian
This network shows the impact of papers produced by Ju Tian. 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 Ju Tian. The network helps show where Ju Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Tian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 250 | |
| 2 | 2016 | 196 | |
| 3 | 2016 | 154 | |
| 4 | 2016 | 140 | |
| 5 | 2015 | 117 | |
| 6 | 2013 | 85 | |
| 7 | 2016 | 78 | |
| 8 | 2014 | 65 | |
| 9 | 2013 | 60 | |
| 10 | 2014 | 35 | |
| 11 | 2014 | 33 | |
| 12 | 2022 | 32 | |
| 13 | 2018 | 31 | |
| 14 | 2019 | 27 | |
| 15 | 2017 | 19 | |
| 16 | 2018 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2015 | 13 | |
| 19 | 2014 | 12 | |
| 20 | 2014 | 12 |
About Ju Tian
Ju Tian is a scholar working on Cognitive Neuroscience, Urology, Artificial Intelligence, Cellular and Molecular Neuroscience and Rehabilitation, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Periodontal Regeneration and Treatments (11 papers), Quantum Computing Algorithms and Architecture (8 papers), Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (7 papers), Optical Imaging and Spectroscopy Techniques (6 papers), Quantum Information and Cryptography (6 papers), Wound Healing and Treatments (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (623 citations), Cellular and Molecular Neuroscience (567 citations), Behavioral Neuroscience (34 citations), Artificial Intelligence (311 citations) and Urology (50 citations). Ju Tian has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Naoshige Uchida, Neir Eshel, Yu‐Guang Yang, Peng Xu, Vinod Rao, Mitsuko Watabe‐Uchida, Si-Jia Sun, Yi‐Hua Zhou, Wei‐Min Shi and Biao Cheng. Their work appears in journals such as Psychiatry Research Neuroimaging, Optik, Quantum Information Processing, Annals of Oncology and Neuron.
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.