Xiaobin Tian
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
- Surgery 4
- Orthopaedic implants and arthroplasty 2
- Co-authors
- Bin Qin (2 shared papers)Kup‐Sze Choi (2 shared papers)Zhaohong Deng (2 shared papers)Shitong Wang (2 shared papers)Dongrui Wu (1 shared paper)Jun Wang (1 shared paper)Hong‐Bin Shen (1 shared paper)Wenhao Ying (1 shared paper)
In The Last Decade
Xiaobin Tian
19 papers receiving 327 citations
Peers
Comparison fields: 5 of 67
- Cognitive Neuroscience 124
- Computational Mathematics 3
- Internal Medicine 13
- Signal Processing 49
- Neurology 20
Countries citing papers authored by Xiaobin Tian
This map shows the geographic impact of Xiaobin 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 Xiaobin Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Tian more than expected).
Fields of papers citing papers by Xiaobin Tian
This network shows the impact of papers produced by Xiaobin 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 Xiaobin Tian. The network helps show where Xiaobin Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 143 | |
| 2 | 2020 | 36 | |
| 3 | 2022 | 24 | |
| 4 | 2022 | 22 | |
| 5 | 2018 | 19 | |
| 6 | 2017 | 18 | |
| 7 | 2017 | 16 | |
| 8 | 2022 | 10 | |
| 9 | 2025 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 6 | |
| 12 | 2018 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2025 | 2 | |
| 16 | [Study of intratympanic methylprednisolone injections in diabetics with a sudden sensorineural hearing loss]. | 2010 | 2 |
| 17 | 2021 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 0 |
About Xiaobin Tian
Xiaobin Tian is a scholar working on Surgery, Molecular Biology, Otorhinolaryngology, Rehabilitation and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 335 indexed citations. Recurring topics across this work include Wound Healing and Treatments (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Ear Surgery and Otitis Media (2 papers), Orthopaedic implants and arthroplasty (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Advanced Clustering Algorithms Research (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Cognitive Neuroscience (124 citations), Computational Mathematics (3 citations), Internal Medicine (13 citations), Signal Processing (49 citations) and Neurology (20 citations). Xiaobin Tian has collaborated with scholars based in China, Hong Kong and Norway. Frequent co-authors include Bin Qin, Kup‐Sze Choi, Zhaohong Deng, Shitong Wang, Dongrui Wu, Jun Wang, Hong‐Bin Shen, Wenhao Ying, Runsang Pan and Haifeng Huang. Their work appears in journals such as Medicine, Frontiers in Immunology, Aging, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Toxicology and Applied Pharmacology.
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.