Runshi Wang
Impact in
- Building and Construction top 10%
- BIM and Construction Integration
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Autism Spectrum Disorder Research
Papers in
-
- Autism Spectrum Disorder Research 3
- Functional Brain Connectivity Studies 3
- Memory and Neural Mechanisms 1
- EEG and Brain-Computer Interfaces 1
-
- Attention Deficit Hyperactivity Disorder 2
- Co-authors
- Yongkui Li (1 shared paper)Mirosław J. Skibniewski (1 shared paper)Yujie Lu (1 shared paper)Yun Le (1 shared paper)Xujun Duan (5 shared papers)Huafu Chen (4 shared papers)Heng Chen (4 shared papers)Xiaonan Guo (3 shared papers)
- Journals
- Progress in Neuro-Psychopharmacology and Biological Psychiatry (1 paper)Journal of Alzheimer s Disease (1 paper)Journal of Management in Engineering (1 paper)Schizophrenia Bulletin (1 paper)Human Brain Mapping (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Runshi Wang
7 papers receiving 294 citations
Peers
Comparison fields: 5 of 67
- Building and Construction 92
- Cognitive Neuroscience 123
- Management Science and Operations Research 77
- Psychiatry and Mental health 40
- Radiological and Ultrasound Technology 13
Countries citing papers authored by Runshi Wang
This map shows the geographic impact of Runshi Wang'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 Runshi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runshi Wang more than expected).
Fields of papers citing papers by Runshi Wang
This network shows the impact of papers produced by Runshi Wang. 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 Runshi Wang. The network helps show where Runshi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Runshi Wang, 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 | 2014 | 133 | |
| 2 | 2018 | 61 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 31 | |
| 5 | 2020 | 22 | |
| 6 | 2021 | 11 | |
| 7 | 2020 | 10 |
About Runshi Wang
Runshi Wang is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Genetics, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 299 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (3 papers), Functional Brain Connectivity Studies (3 papers), Attention Deficit Hyperactivity Disorder (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Fetal and Pediatric Neurological Disorders (1 paper), Memory and Neural Mechanisms (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Construction Project Management and Performance (1 paper). The work is most often cited by research in Building and Construction (92 citations), Cognitive Neuroscience (123 citations), Management Science and Operations Research (77 citations), Psychiatry and Mental health (40 citations) and Radiological and Ultrasound Technology (13 citations). Runshi Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yongkui Li, Mirosław J. Skibniewski, Yujie Lu, Yun Le, Xujun Duan, Huafu Chen, Heng Chen, Xiaonan Guo, Jia Wang and Xiaomin Wang. Their work appears in journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal of Alzheimer s Disease, Journal of Management in Engineering, Schizophrenia Bulletin and Human Brain Mapping.
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.