Deying Hu

1.8k total citations · 1 hit paper
35 papers, 1.3k citations indexed

About

Deying Hu is a scholar working on Clinical Psychology, Oncology and General Health Professions. According to data from OpenAlex, Deying Hu has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Clinical Psychology, 14 papers in Oncology and 9 papers in General Health Professions. Recurrent topics in Deying Hu's work include Suicide and Self-Harm Studies (15 papers), Cancer survivorship and care (13 papers) and COVID-19 and Mental Health (6 papers). Deying Hu is often cited by papers focused on Suicide and Self-Harm Studies (15 papers), Cancer survivorship and care (13 papers) and COVID-19 and Mental Health (6 papers). Deying Hu collaborates with scholars based in China and Singapore. Deying Hu's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Affective Disorders and Frontiers in Psychology.

In The Last Decade

Deying Hu

34 papers receiving 1.2k citations

Hit Papers

Frontline nurses’ burnout, anxiety, depression, and fear ... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deying Hu China 13 939 670 177 145 143 35 1.3k
Yanli You China 3 758 0.8× 379 0.6× 122 0.7× 90 0.6× 92 0.6× 4 925
Qu Shen China 11 626 0.7× 544 0.8× 68 0.4× 127 0.9× 81 0.6× 22 924
Ibrahim Alananzeh Australia 11 476 0.5× 373 0.6× 161 0.9× 56 0.4× 93 0.7× 29 777
Rob Polson United Kingdom 9 460 0.5× 715 1.1× 94 0.5× 78 0.5× 61 0.4× 18 1.1k
Johannes H. De Kock United Kingdom 9 517 0.6× 479 0.7× 86 0.5× 124 0.9× 47 0.3× 28 797
Esther Murray United Kingdom 8 498 0.5× 397 0.6× 94 0.5× 80 0.6× 50 0.3× 15 817
Austyn Snowden United Kingdom 19 307 0.3× 342 0.5× 96 0.5× 209 1.4× 154 1.1× 96 1.0k
Sulaiman Al Sabei Oman 17 387 0.4× 445 0.7× 33 0.2× 134 0.9× 83 0.6× 63 1.0k
Loai Abu Sharour Jordan 12 252 0.3× 194 0.3× 86 0.5× 72 0.5× 78 0.5× 49 670

Countries citing papers authored by Deying Hu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
He, Chunyan, et al.. (2025). Social support and demoralization among patients with lung cancer in China: A moderated mediation model of self-efficacy and symptom distress. Asia-Pacific Journal of Oncology Nursing. 12. 100749–100749.
2.
He, Chunyan, Shuhui Liu, Yinying Zhang, et al.. (2024). Exploring the relationship between illness perception, self-transcendence, and demoralization in patients with lung cancer: A latent profile and mediation analysis. Asia-Pacific Journal of Oncology Nursing. 12. 100638–100638. 2 indexed citations
3.
Chen, Jie, et al.. (2024). Risk factors associated with suicidal ideation among cancer patients: a systematic review and meta-analysis. Frontiers in Psychology. 14. 1287290–1287290. 9 indexed citations
4.
5.
Chen, Jie, et al.. (2023). Symptom distress and suicidal ideation among Chinese ovarian cancer patients: A moderated mediation model of depression and suicide resilience. Frontiers in Psychology. 14. 1073995–1073995. 1 indexed citations
7.
Zhang, Yingying, et al.. (2023). The association of adverse reactions and depression in cervical cancer patients treated with radiotherapy and/or chemotherapy: moderated mediation models. Frontiers in Psychology. 14. 1207265–1207265. 4 indexed citations
8.
Yu, Ting, et al.. (2023). Influencing factors of suicidal ideation in lung cancer patients in Midland China: A mixed-method study. Frontiers in Psychiatry. 14. 1072371–1072371. 3 indexed citations
9.
Zhang, Yingying, Yilan Liu, Yanhong Han, et al.. (2022). The prevalence of depression and suicidal ideation among cancer patients in mainland China and its provinces, 1994–2021: A systematic review and meta-analysis of 201 cross-sectional studies. Journal of Affective Disorders. 323. 482–489. 13 indexed citations
10.
11.
Shang, Jing, et al.. (2021). Mental workload of frontline nurses aiding in the COVID‐19 pandemic: A latent profile analysis. Journal of Advanced Nursing. 77(5). 2374–2385. 46 indexed citations
12.
Peng, Xin, et al.. (2021). Post-traumatic Growth Level and Its Influencing Factors Among Frontline Nurses During the COVID-19 Pandemic. Frontiers in Psychiatry. 12. 632360–632360. 41 indexed citations
13.
Hu, Deying, Yue Kong, Wengang Li, et al.. (2020). 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 study. EClinicalMedicine. 24. 100424–100424. 664 indexed citations breakdown →
14.
Hu, Deying, et al.. (2019). Psychological experience among medical staff in hematology department undergoing inpatients suicide:a qualitative study. 34(24). 74–77. 1 indexed citations
15.
Wan, Qing, Deying Hu, Yanhong Han, et al.. (2019). A study of the epidemiology and risk factors for attempted suicide and suicide among non-psychiatric inpatients in 48 general hospitals in Hubei province, China, 2015–2017. General Hospital Psychiatry. 63. 21–29. 13 indexed citations
16.
Tan, Rong, Deying Hu, Yanhong Han, et al.. (2018). Characteristics of and management strategies for 54 suicidal inpatients in a general hospital. Frontiers of Nursing. 5(2). 139–145. 1 indexed citations
17.
Guan, Chun-Yan, Yilan Liu, Deying Hu, et al.. (2018). Outpatient Experience of Human Caring Scale (OEHC-Scale): Improvement by Delphi Method. Current Medical Science. 38(2). 360–371. 12 indexed citations
18.
Hu, Deying, et al.. (2015). Risk factors and precautions of inpatient suicide from the perspective of nurses: A qualitative study. Journal of Huazhong University of Science and Technology [Medical Sciences]. 35(2). 295–301. 6 indexed citations
19.
Han, Yanhong, Deying Hu, Yilan Liu, et al.. (2014). Coping styles and social support among depressed Chinese family caregivers of patients with esophageal cancer. European Journal of Oncology Nursing. 18(6). 571–577. 34 indexed citations
20.
Hu, Deying. (2006). The Implications of Individualist and Collectivist Perception in China’s EFLT. The International Journal of Diversity in Organizations Communities and Nations Annual Review. 4(1). 0–0. 1 indexed citations

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.

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