Philip S. Wong

552 citations
23 papers · 420 indexed · h-index 12

Philip S. Wong

22 papers receiving 401 citations

Peers

Philip S. Wong
Comparison fields: 5 of 84
  • Cognitive Neuroscience 210
  • General Psychology 10
  • Experimental and Cognitive Psychology 87
  • Clinical Psychology 97
  • Social Psychology 84
Replace Esteve Freixa i Baqué with:
Esteve Freixa i Baqué France
Dawn Macaulay Canada
Pedro Marset Spain
Joseph D. LaBarbera United States
Peter Lush United Kingdom
Marlies Pinnow Germany
Janet D. Proctor United States
Yawei Cheng Taiwan
Mariana Von Mohr United Kingdom
Daniel P. Brown United States
Philip S. Wong relative to Esteve Freixa i Baqué France Esteve Freixa i Baqué's profile →
Citations per field
00.5×4.7×
Esteve Freixa i Baqué · 1×
Citations per year

Countries citing papers authored by Philip S. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Philip S. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip S. Wong. 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 Philip S. Wong. The network helps show where Philip S. Wong may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20219
2 20211
3 20191
4 201811
5 20189
6 201517
7 201511
8 201520
9 201410
10 201223
11 20120
12 20071
13 200634
14 200352
15
Perceived benefits of eduPAD in enhancing learning
20011
16 199923
17 199749
18 199485
19 199214
20 198320

About Philip S. Wong

Philip S. Wong is a scholar working on Clinical Psychology, Cognitive Neuroscience and Surfaces, Coatings and Films, having authored 23 papers that have together received 420 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (5 papers), Personality Disorders and Psychopathology (4 papers), Suicide and Self-Harm Studies (3 papers), Psychotherapy Techniques and Applications (3 papers), Face Recognition and Perception (2 papers), Neural dynamics and brain function (2 papers), Bullying, Victimization, and Aggression (2 papers) and Personality Traits and Psychology (2 papers). The work is most often cited by research in Cognitive Neuroscience (210 citations), General Psychology (10 citations) and Experimental and Cognitive Psychology (87 citations). Philip S. Wong has collaborated with scholars based in United States and Ireland. Frequent co-authors include Howard Shevrin, James C. Root, William J. Williams, Edward M. Bernat, Scott C. Bunce, Marcel Kinsbourne, Kevin B. Meehan, Hisham Hafez, John A. Cegalis and Laura S. Boylan. Their work appears in journals such as ACS Applied Materials & Interfaces, Psychophysiology and The Journal of Nervous and Mental Disease.

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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