Dahua Wang

1.4k citations
58 papers · 933 · h-index 17

Impact in

Papers in

Dahua Wang

53 papers receiving 898 citations

Peers

Dahua Wang
Comparison fields: 5 of 118
  • Neuropsychology and Physiological Psychology 61
  • Social Psychology 258
  • Health 86
  • Applied Psychology 49
  • Experimental and Cognitive Psychology 119
Replace Gale Pearce with:
Gale Pearce United States
Tamara Sims United States
Meng Huo United States
Ines Schindler Germany
Elizabeth A. Necka United States
Eun-Soo Choi South Korea
Evren Erzen Türkiye
Susan K. Whitbourne United States
Prudence Millear Australia
Özkan Çıkrıkçı Türkiye
Dahua Wang relative to Gale Pearce United States Gale Pearce's profile →
Citations per field
00.5×10×14.6×
Gale Pearce · 1×
Citations per year

Countries citing papers authored by Dahua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dahua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019151
2 201090
3 201367
4 201860
5 200958
6 201344
7 201342
8 202137
9 202436
10 201327
11 201826
12 201321
13 202219
14 201419
15 201918
16 201616
17 202216
18 201216
19 201616
20 202214

About Dahua Wang

Dahua Wang is a scholar working on Social Psychology, Clinical Psychology, Cognitive Neuroscience, Neuropsychology and Physiological Psychology and Experimental and Cognitive Psychology, having authored 58 papers that have together received 933 indexed citations. Recurring topics across this work include Attachment and Relationship Dynamics (8 papers), Aging and Gerontology Research (8 papers), Neural and Behavioral Psychology Studies (7 papers), Identity, Memory, and Therapy (6 papers), Psychological Well-being and Life Satisfaction (5 papers), Behavioral Health and Interventions (5 papers), Health disparities and outcomes (5 papers) and Grief, Bereavement, and Mental Health (5 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (61 citations), Social Psychology (258 citations), Health (86 citations), Applied Psychology (49 citations) and Experimental and Cognitive Psychology (119 citations). Dahua Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Alain Guerrién, Ken Laidlaw, Mick Power, Jiliang Shen, Claudia Coelho, Richard B. Miller, Xianmin Gong, Chongming Yang, Wenhai Zhang and Dan Tang. Their work appears in journals such as Frontiers in Psychology, Aging & Mental Health, The International Journal of Aging and Human Development, Journal of Social and Personal Relationships and BMC Psychology.

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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