Ranxiao Frances Wang

3.7k citations
62 papers · 2.5k indexed · h-index 23

Ranxiao Frances Wang

61 papers receiving 2.4k citations

Peers

Ranxiao Frances Wang
Comparison fields: 5 of 120
  • Automotive Engineering 1.3k
  • Cognitive Neuroscience 1.4k
  • Human-Computer Interaction 325
  • Experimental and Cognitive Psychology 636
  • Developmental and Educational Psychology 580
Replace Stella F. Lourenco with:
Stella F. Lourenco United States
Jan Wiener United Kingdom
Alinda Friedman Canada
Jeanine K. Stefanucci United States
John J. Rieser United States
Elizabeth R. Chrastil United States
Markus Knauff Germany
Jacqueline Metzler United States
James R. Brockmole United States
Hubert D. Zimmer Germany
Ranxiao Frances Wang relative to Stella F. Lourenco United States Stella F. Lourenco's profile →
Citations per field
00.5×1.6×
Stella F. Lourenco · 1×
Citations per year

Countries citing papers authored by Ranxiao Frances Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ranxiao Frances Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20216
3 20216
4 201819
5 201542
6 20155
7 201212
8
Autonomous and Semiautonomous Control Simulator
20105
9 200918
10 20077
11 200654
12
Beyond imagination: Perspective change problems revisited
200522
13 200434
14 200322
15 200314
16 200237
17 2002433
18 200289
19 199923
20 1999187

About Ranxiao Frances Wang

Ranxiao Frances Wang is a scholar working on Automotive Engineering, Human-Computer Interaction and Cognitive Neuroscience, having authored 62 papers that have together received 2.5k indexed citations. Recurring topics across this work include Spatial Cognition and Navigation (34 papers), Visual perception and processing mechanisms (23 papers), Child and Animal Learning Development (11 papers), Categorization, perception, and language (9 papers), Visual and Cognitive Learning Processes (6 papers), Visual Attention and Saliency Detection (6 papers), Memory and Neural Mechanisms (6 papers) and Cognitive Science and Mapping (6 papers). The work is most often cited by research in Automotive Engineering (1.3k citations), Cognitive Neuroscience (1.4k citations) and Human-Computer Interaction (325 citations). Ranxiao Frances Wang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Elizabeth S. Spelke, Daniel J. Simons, James R. Brockmole, David E. Irwin, Arthur F. Kramer, James E. Cutting, Matthew S. Peterson, Jason S. McCarley, Linda Hermer and James A. Crowell. Their work appears in journals such as Psychonomic Bulletin & Review, Cognition, Journal of Experimental Psychology Learning Memory and Cognition, Memory & Cognition and Vision Research.

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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