Tianya Hou

1.2k total citations
35 papers, 770 citations indexed

About

Tianya Hou is a scholar working on Clinical Psychology, General Health Professions and Experimental and Cognitive Psychology. According to data from OpenAlex, Tianya Hou has authored 35 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Clinical Psychology, 8 papers in General Health Professions and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Tianya Hou's work include COVID-19 and Mental Health (18 papers), Resilience and Mental Health (8 papers) and Healthcare professionals’ stress and burnout (6 papers). Tianya Hou is often cited by papers focused on COVID-19 and Mental Health (18 papers), Resilience and Mental Health (8 papers) and Healthcare professionals’ stress and burnout (6 papers). Tianya Hou collaborates with scholars based in China, United States and Spain. Tianya Hou's co-authors include Wenpeng Cai, Guanghui Deng, Xiangrui Song, Huifen Li, Chun‐Yan Ni, Bin Lian, Aibin Chen, Wei Dong, Taiquan Zhang and Fan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Tianya Hou

29 papers receiving 748 citations

Peers

Tianya Hou
Comparison fields: 5 of 92
  • Clinical Psychology 543
  • General Health Professions 286
  • Social Psychology 127
  • Experimental and Cognitive Psychology 84
  • Surgery 81
Replace Chiara Manna with:
Chiara Manna Italy
Sonne Lemke United States
Roland Melin Sweden
Bev John United Kingdom
Myung Hee Ahn South Korea
Nina Stuhldreher Germany
Annunziata Romeo Italy
Abdulaziz T. Alshomrani Saudi Arabia
Denise Catalano United States
Omer E. F. El-Rufaie United Arab Emirates
Chiara Manna Italy View profile →
Citations per field, relative to Tianya Hou
Tianya Hou · 1×
Citations per year, relative to Tianya Hou
Tianya Hou · 1×

Countries citing papers authored by Tianya Hou

Since Specialization
Citations

This map shows the geographic impact of Tianya Hou'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 Tianya Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianya Hou more than expected).

Fields of papers citing papers by Tianya Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tianya Hou. 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 Tianya Hou. The network helps show where Tianya Hou may publish in the future.

Co-authorship network of co-authors of Tianya Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Tianya Hou. A scholar is included among the top collaborators of Tianya Hou 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 Tianya Hou. Tianya Hou 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
# Work Indexed citations
1 0
2 0
3 0
4 1
5 1
6 8
7 11
8 12
9 11
10 13
11 7
12 8
13 6
14 27
15 1
16 16
17 19
18 188
19 8
20 49

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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