Xiaoting Cheng
Impact in
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
- Speech and Hearing top 10%
- Noise Effects and Management
Papers in
-
- Hearing Loss and Rehabilitation 9
- Neuroscience and Music Perception 2
-
- Hearing, Cochlea, Tinnitus, Genetics 9
- Co-authors
- Bing Chen (14 shared papers)Yilai Shu (12 shared papers)Qian‐Jie Fu (5 shared papers)Y. Yuan (5 shared papers)John J. Galvin (4 shared papers)Libin Zhang (1 shared paper)Yong Shi (1 shared paper)Heng Xia (1 shared paper)
- Journals
- Acta Oto-Laryngologica (3 papers)Trends in Hearing (2 papers)ORL (2 papers)Neural Plasticity (2 papers)Frontiers of Medicine (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Xiaoting Cheng
19 papers receiving 197 citations
Peers
Comparison fields: 5 of 54
- Sensory Systems 60
- Speech and Hearing 53
- Otorhinolaryngology 29
- Cognitive Neuroscience 101
- Signal Processing 29
Countries citing papers authored by Xiaoting Cheng
This map shows the geographic impact of Xiaoting Cheng'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 Xiaoting Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Cheng more than expected).
Fields of papers citing papers by Xiaoting Cheng
This network shows the impact of papers produced by Xiaoting Cheng. 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 Xiaoting Cheng. The network helps show where Xiaoting Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 38 | |
| 2 | 2018 | 31 | |
| 3 | 2018 | 22 | |
| 4 | 2018 | 22 | |
| 5 | 2021 | 20 | |
| 6 | 2019 | 19 | |
| 7 | 2017 | 13 | |
| 8 | 2018 | 10 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 6 | |
| 11 | 2015 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2023 | 1 |
About Xiaoting Cheng
Xiaoting Cheng is a scholar working on Cognitive Neuroscience, Sensory Systems, Speech and Hearing, Otorhinolaryngology and Surgery, having authored 19 papers that have together received 200 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (9 papers), Hearing, Cochlea, Tinnitus, Genetics (9 papers), Noise Effects and Management (5 papers), Ear Surgery and Otitis Media (4 papers), Neuroscience and Music Perception (2 papers), Vestibular and auditory disorders (2 papers), Infection Control and Ventilation (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Sensory Systems (60 citations), Speech and Hearing (53 citations), Otorhinolaryngology (29 citations), Cognitive Neuroscience (101 citations) and Signal Processing (29 citations). Xiaoting Cheng has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Bing Chen, Yilai Shu, Qian‐Jie Fu, Y. Yuan, John J. Galvin, Libin Zhang, Yong Shi, Heng Xia, Kevin A. Peng and Akira Ishiyama. Their work appears in journals such as Acta Oto-Laryngologica, Trends in Hearing, ORL, Neural Plasticity and Frontiers of Medicine.
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.