Deying Hu
- Clinical Psychology top 2%
- General Health Professions top 2%
- Oncology
- Social Psychology top 10%
- Sociology and Political Science top 10%
- Co-authors
- Yilan LiuSu Wei WanHong HeLi ZhuYue KongWengang LiQu ShenQiuying Han
- Topics
- Suicide and Self-Harm Studies (15 papers)Cancer survivorship and care (13 papers)COVID-19 and Mental Health (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Affective DisordersFrontiers in Psychology
In The Last Decade
Deying Hu
34 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Clinical Psychology 939
- General Health Professions 670
- Oncology 177
- Social Psychology 145
- Sociology and Political Science 143
Countries citing papers authored by Deying Hu
This map shows the geographic impact of Deying Hu'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 Deying Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deying Hu more than expected).
Fields of papers citing papers by Deying Hu
This network shows the impact of papers produced by Deying Hu. 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 Deying Hu. The network helps show where Deying Hu may publish in the future.
Co-authorship network of co-authors of Deying Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Deying Hu. A scholar is included among the top collaborators of Deying Hu 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 Deying Hu. Deying Hu 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 | 2 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 46 | |
| 12 | 41 | |
| 13 | Frontline nurses’ burnout, anxiety, depression, and fear statuses and their associated factors during the COVID-19 outbreak in Wuhan, China: A large-scale cross-sectional studybreakdown → | 664 |
| 14 | Psychological experience among medical staff in hematology department undergoing inpatients suicide:a qualitative study | 1 |
| 15 | 13 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 6 | |
| 19 | 34 | |
| 20 | 1 |
About Deying Hu
Deying Hu is a scholar working on Clinical Psychology, Emergency Medical Services and Medical Laboratory Technology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Suicide and Self-Harm Studies (15 papers), Cancer survivorship and care (13 papers) and COVID-19 and Mental Health (6 papers). The work is most often cited by research in Clinical Psychology (939 citations), General Health Professions (670 citations) and Radiological and Ultrasound Technology (106 citations). Deying Hu has collaborated with scholars based in China and Singapore. Frequent co-authors include Yilan Liu, Su Wei Wan, Hong He, Li Zhu, Yue Kong, Wengang Li, Qu Shen, Qiuying Han, Jiemin Zhu and Xin Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Affective Disorders and Frontiers in Psychology.
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.