Xiang Wang
- Cognitive Neuroscience top 5%
- Clinical Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Molecular Biology
- Psychiatry and Mental health top 5%
- Co-authors
- Shuqiao YaoHans‐Hermann GerdesLinhui ZhaoXiongzhao ZhuNickolay V. BukoreshtlievXiaocui ZhangQingsen MingJinyao Yi
- Topics
- Functional Brain Connectivity Studies (22 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (17 papers)Mental Health Research Topics (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Psychiatry
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiang Wang
104 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 160
- Cognitive Neuroscience 566
- Clinical Psychology 451
- Experimental and Cognitive Psychology 390
- Molecular Biology 282
- Psychiatry and Mental health 221
Countries citing papers authored by Xiang Wang
This map shows the geographic impact of Xiang 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 Xiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Wang more than expected).
Fields of papers citing papers by Xiang Wang
This network shows the impact of papers produced by Xiang 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 Xiang Wang. The network helps show where Xiang Wang may publish in the future.
Co-authorship network of co-authors of Xiang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Wang. A scholar is included among the top collaborators of Xiang Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiang Wang. Xiang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 89 | |
| 10 | 17 | |
| 11 | Towards Multi-Grained Explainability for Graph Neural Networks | 19 |
| 12 | 69 | |
| 13 | 1 | |
| 14 | 33 | |
| 15 | 0 | |
| 16 | 6 | |
| 17 | 64 | |
| 18 | 46 | |
| 19 | 85 | |
| 20 | The Effectiveness of Writing Conferences in TESOL | 1 |
About Xiang Wang
Xiang Wang is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Sensory Systems, having authored 114 papers that have together received 2.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (22 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (17 papers) and Mental Health Research Topics (10 papers). The work is most often cited by research in Biological Psychiatry (79 citations), Experimental and Cognitive Psychology (390 citations) and Cognitive Neuroscience (566 citations). Xiang Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shuqiao Yao, Hans‐Hermann Gerdes, Linhui Zhao, Xiongzhao Zhu, Nickolay V. Bukoreshtliev, Xiaocui Zhang, Qingsen Ming, Jinyao Yi, Hengyi Rao and Zhidong Cai. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Psychiatry.
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.