Dinh‐Van Phan

675 citations
22 papers · 446 · h-index 11

Impact in

Papers in

Dinh‐Van Phan

22 papers receiving 435 citations

Peers

Dinh‐Van Phan
Comparison fields: 5 of 96
  • Accounting 87
  • Health, Toxicology and Mutagenesis 75
  • Health Information Management 17
  • Speech and Hearing 22
  • Experimental and Cognitive Psychology 36
Replace Nadia Antonucci with:
Nadia Antonucci Italy
Shukai Li China
Feiyan Liu China
Zhihui Zhang China
Basílio de Bragança Pereira Brazil
Hamed Tavolinejad Iran
Juxiang Yuan China
Keya Rani Das Bangladesh
Saeedeh Pourahmad Iran
David C. W. Chin Australia
Dinh‐Van Phan relative to Nadia Antonucci Italy Nadia Antonucci's profile →
Citations per field
00.5×5×10×15×21.8×
Nadia Antonucci · 1×
Citations per year

Countries citing papers authored by Dinh‐Van Phan

Since Specialization
Citations

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

Fields of papers citing papers by Dinh‐Van Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dinh‐Van Phan. 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 Dinh‐Van Phan. The network helps show where Dinh‐Van Phan may publish in the future.

Co-authors

The 24 scholars most cited alongside Dinh‐Van Phan, 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 Dinh‐Van Phan Line = papers co-authored together Dinh‐Van Phan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019108
2 201159
3 201949
4 201835
5 201933
6 202030
7 202019
8 202118
9 202015
10 202215
11 202015
12 201811
13 20188
14 20205
15 20185
16 20164
17 20204
18 20113
19 20183
20 20203

About Dinh‐Van Phan

Dinh‐Van Phan is a scholar working on Speech and Hearing, Experimental and Cognitive Psychology, Applied Psychology, Health, Toxicology and Mutagenesis and Cognitive Neuroscience, having authored 22 papers that have together received 446 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (4 papers), Noise Effects and Management (4 papers), Machine Learning in Bioinformatics (3 papers), Sleep and related disorders (3 papers), Digital Mental Health Interventions (2 papers), Sleep and Work-Related Fatigue (2 papers), Functional Brain Connectivity Studies (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Accounting (87 citations), Health, Toxicology and Mutagenesis (75 citations), Health Information Management (17 citations), Speech and Hearing (22 citations) and Experimental and Cognitive Psychology (36 citations). Dinh‐Van Phan has collaborated with scholars based in Taiwan, Vietnam and South Korea. Frequent co-authors include Chien‐Lung Chan, Hyung Ju Hwang, Hyunwoo Son, Nan‐Ping Yang, Ren-Hao Pan, Nguyen Quoc Khanh Le, Yu‐Yen Ou, Trinh‐Trung‐Duong Nguyen, Quang‐Thai Ho and Yi‐Hui Lee. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Asthma, World Journal of Emergency Surgery, BMC Health Services Research and Expert Systems with Applications.

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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