Hong Cai

3.0k citations
68 papers · 1.8k indexed · 2 hit papers · h-index 23
Topics
Mental Health Research Topics (22 papers)Functional Brain Connectivity Studies (13 papers)COVID-19 and Mental Health (9 papers)
Partner nations
ChinaMacaoHong Kong

In The Last Decade

Hong Cai

63 papers receiving 1.8k citations

Hit Papers

Worldwide prevalence of mild cognitive impairment among c...20222026202320242022202250100150200

Peers

Hong Cai
Comparison fields: 5 of 141
  • Experimental and Cognitive Psychology 610
  • Clinical Psychology 489
  • Cognitive Neuroscience 306
  • Psychiatry and Mental health 283
  • Health 221
Replace Young‐Hoon Ko with:
Young‐Hoon Ko South Korea
Shih‐Cheng Liao Taiwan
Lan Guo China
Eric S. Zhou United States
Markku Timonen Finland
Hsi‐Chung Chen Taiwan
Johannes Kruse Germany
Fu‐Jun Jia China
Maria C. Quattropani Italy
Cheolmin Shin South Korea
Hong Cai relative to Young‐Hoon Ko South Korea Young‐Hoon Ko's profile →
Citations per field
00.5×3.1×
Young‐Hoon Ko · 1×
Citations per year

Countries citing papers authored by Hong Cai

Since Specialization
Citations

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

Fields of papers citing papers by Hong Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Cai. A scholar is included among the top collaborators of Hong Cai 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 Hong Cai. Hong Cai 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
#WorkIndexed citations
1 0
2 0
3 3
4 0
5 7
6 11
7 7
8 2
9 47
10 3
11 21
12 9
13 67
14 4
15 10
16 22
17
Global prevalence of depression in older adults: A systematic review and meta-analysis of epidemiological surveysbreakdown →
156
18 113
19 28
20 21

About Hong Cai

Hong Cai is a scholar working on Biological Psychiatry, Experimental and Cognitive Psychology and Clinical Psychology, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mental Health Research Topics (22 papers), Functional Brain Connectivity Studies (13 papers) and COVID-19 and Mental Health (9 papers). The work is most often cited by research in Biological Psychiatry (153 citations), Experimental and Cognitive Psychology (610 citations) and Health (221 citations). Hong Cai has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Yu‐Tao Xiang, Teris Cheung, Qinge Zhang, Zhaohui Su, Wei Bai, Todd Jackson, Sha Sha, Chee H. Ng, Yi‐lang Tang and Gábor S. Ungvári. Their work appears in journals such as International Journal of Epidemiology, Molecular Psychiatry and Journal of Affective Disorders.

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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