Da Chang
Impact in
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
Papers in
-
- Functional Brain Connectivity Studies 10
- Neural and Behavioral Psychology Studies 5
- Neural dynamics and brain function 3
- EEG and Brain-Computer Interfaces 2
-
- Transcranial Magnetic Stimulation Studies 6
- Neurological disorders and treatments 1
- Co-authors
- Ze Wang (9 shared papers)Donghui Song (7 shared papers)Jian Zhang (6 shared papers)Xin Gao (3 shared papers)Yu‐Feng Zang (2 shared papers)Jian Zhang (1 shared paper)Shao‐Wei Xue (1 shared paper)Yiran Li (1 shared paper)
- Journals
- Brain Imaging and Behavior (3 papers)BMC Neuroscience (1 paper)European Journal of Radiology (1 paper)Frontiers in Psychology (1 paper)Frontiers in Human Neuroscience (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Da Chang
12 papers receiving 248 citations
Peers
Comparison fields: 5 of 34
- Neurology 84
- Cognitive Neuroscience 170
- Anesthesiology and Pain Medicine 6
- Behavioral Neuroscience 4
- Cardiology and Cardiovascular Medicine 23
Countries citing papers authored by Da Chang
This map shows the geographic impact of Da Chang'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 Da Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Chang more than expected).
Fields of papers citing papers by Da Chang
This network shows the impact of papers produced by Da Chang. 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 Da Chang. The network helps show where Da Chang may publish in the future.
Co-authors
The 19 scholars most cited alongside Da Chang, 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 | 2018 | 44 | |
| 2 | 2018 | 40 | |
| 3 | 2018 | 40 | |
| 4 | 2018 | 30 | |
| 5 | 2017 | 27 | |
| 6 | 2019 | 23 | |
| 7 | 2022 | 22 | |
| 8 | 2018 | 19 | |
| 9 | 2013 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 |
About Da Chang
Da Chang is a scholar working on Cognitive Neuroscience, Neurology, Neurology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 250 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Transcranial Magnetic Stimulation Studies (6 papers), Neural and Behavioral Psychology Studies (5 papers), Neural dynamics and brain function (3 papers), EEG and Brain-Computer Interfaces (2 papers), Neurological and metabolic disorders (1 paper), Neurological disorders and treatments (1 paper) and Microencapsulation and Drying Processes (1 paper). The work is most often cited by research in Neurology (84 citations), Cognitive Neuroscience (170 citations), Anesthesiology and Pain Medicine (6 citations), Behavioral Neuroscience (4 citations) and Cardiology and Cardiovascular Medicine (23 citations). Da Chang has collaborated with scholars based in China and United States. Frequent co-authors include Ze Wang, Donghui Song, Jian Zhang, Xin Gao, Yu‐Feng Zang, Jian Zhang, Shao‐Wei Xue, Yiran Li, Jin Moon Kim and Xiao Ming Zhang. Their work appears in journals such as Brain Imaging and Behavior, BMC Neuroscience, European Journal of Radiology, Frontiers in Psychology and Frontiers in Human Neuroscience.
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.