Bibo Hao

757 citations
17 papers · 376 · h-index 10

Impact in

Papers in

Bibo Hao

14 papers receiving 365 citations

Peers

Bibo Hao
Comparison fields: 5 of 63
  • Applied Psychology 59
  • Social Psychology 172
  • Clinical Psychology 176
  • Experimental and Cognitive Psychology 82
  • Artificial Intelligence 99
Replace Shuotian Bai with:
Shuotian Bai China
Chin‐Lan Huang Taiwan
Lucie Flek Germany
Sumer S. Vaid United States
Ted Grover United States
Annika Marie Schoene United Kingdom
Orianna DeMasi United States
Lale Khorramdel United States
Scott LeeTiernan United States
Tuo Liu Germany
Bibo Hao relative to Shuotian Bai China Shuotian Bai's profile →
Citations per field
00.5×1.5×2.3×
Shuotian Bai · 1×
Citations per year

Countries citing papers authored by Bibo Hao

Since Specialization
Citations

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

Fields of papers citing papers by Bibo Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bibo Hao, 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 Bibo Hao Line = papers co-authored together Bibo Hao links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2014100
2 201557
3 201347
4 201339
5 201532
6 202024
7 201421
8 201915
9 201515
10 20149
11 20188
12
[A pilot study of differences in behavioral and linguistic characteristics between Sina suicide microblog users and Sina microblog users without suicide idea].
20157
13 20191
14 20161
15 20170
16 20160
17 20190

About Bibo Hao

Bibo Hao is a scholar working on Clinical Psychology, Health Information Management, Statistical and Nonlinear Physics, Social Psychology and Sociology and Political Science, having authored 17 papers that have together received 376 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Personality Traits and Psychology (5 papers), Complex Network Analysis Techniques (3 papers), Mental Health via Writing (3 papers), Impact of Technology on Adolescents (3 papers), Mental Health Research Topics (2 papers), Suicide and Self-Harm Studies (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Applied Psychology (59 citations), Social Psychology (172 citations), Clinical Psychology (176 citations), Experimental and Cognitive Psychology (82 citations) and Artificial Intelligence (99 citations). Bibo Hao has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Tingshao Zhu, Ang Li, Shuotian Bai, Lin Li, Qijin Cheng, Paul Yip, Lin Li, Helen Christensen, Bridianne O’Dea and Xiaoxiao Huang. Their work appears in journals such as PLoS ONE, JMIR Mental Health, Chinese Science Bulletin (Chinese Version), PeerJ and Osteoporosis International.

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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