Xian-Bo Wu

965 citations
10 papers · 639 indexed · 1 hit paper · h-index 10

Xian-Bo Wu

10 papers receiving 622 citations

Hit Papers

Prevalence of anxiety and depression symptom, and the dem...254202020262022202450100150200250

Peers

Xian-Bo Wu
Comparison fields: 5 of 107
  • Clinical Psychology 272
  • Neuropsychology and Physiological Psychology 17
  • Applied Psychology 51
  • Health 65
  • Modeling and Simulation 26
Replace Xi-Ru Zhang with:
Xi-Ru Zhang China
Nasibeh Zanjari Iran
Emily W. Flanagan United States
Hairong Nan Hong Kong
Elizabeth D. Hathaway United States
Subramani Poongothai India
Yung‐Chieh Yen Taiwan
Mas Ayu Said Malaysia
Peizhi Wang Singapore
Judy Ockene United States
Xian-Bo Wu relative to Xi-Ru Zhang China Xi-Ru Zhang's profile →
Citations per field
00.5×4.3×
Xi-Ru Zhang · 1×
Citations per year

Countries citing papers authored by Xian-Bo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xian-Bo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xian-Bo Wu. 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 Xian-Bo Wu. The network helps show where Xian-Bo Wu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Xian-Bo Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xian-Bo Wu Line = papers co-authored together Xian-Bo Wu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202048
2 202070
3 202057
4
Prevalence of anxiety and depression symptom, and the demands for psychological knowledge and interventions in college students during COVID-19 epidemic: A large cross-sectional studybreakdown →
2020254
5 202030
6 20199
7 201928
8 201947
9 201935
10 201961

About Xian-Bo Wu

Xian-Bo Wu is a scholar working on Neuropsychology and Physiological Psychology, Health and Modeling and Simulation, having authored 10 papers that have together received 639 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Health disparities and outcomes (2 papers), Long-Term Effects of COVID-19 (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 epidemiological studies (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Clinical Psychology (272 citations), Neuropsychology and Physiological Psychology (17 citations) and Applied Psychology (51 citations). Xian-Bo Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chen Mao, Zhihao Li, Xi-Ru Zhang, Dong Shen, Pei‐Liang Chen, Wei-Qi Song, Xiang Gao, Wen-Fang Zhong, Xiao‐Ming Shi and Yuebin Lv. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Nutrition and BMJ.

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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