Meiying Qin

598 citations
18 papers · 403 indexed · 1 hit paper · h-index 8

Meiying Qin

18 papers receiving 397 citations

Hit Papers

Improving social skills in children with ASD using a long...228201820262020202350100150200

Peers

Meiying Qin
Comparison fields: 5 of 81
  • Occupational Therapy 40
  • Social Psychology 160
  • Cognitive Neuroscience 139
  • Human-Computer Interaction 24
  • Applied Psychology 19
Replace Thibault Asselborn with:
Thibault Asselborn Switzerland
Hideyuki Takahashi Japan
Huang Ying China
Robert Lowe Sweden
John Magee United States
Luisa Damiano Italy
Erik Garrett United States
Francesca Ciardo Italy
Paul C. Knox United Kingdom
Edoardo Datteri Italy
Meiying Qin relative to Thibault Asselborn Switzerland Thibault Asselborn's profile →
Citations per field
00.5×9.5×
Thibault Asselborn · 1×
Citations per year

Countries citing papers authored by Meiying Qin

Since Specialization
Citations

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

Fields of papers citing papers by Meiying Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20251
2 20251
3 20251
4 20241
5 20237
6 20237
7 20232
8 20233
9 202310
10 20227
11 202112
12 20214
13 202125
14 202012
15 20206
16 20191
17
Improving social skills in children with ASD using a long-term, in-home social robotbreakdown →
2018228
18 201475

About Meiying Qin

Meiying Qin is a scholar working on Developmental Biology, Computer Science Applications and Reproductive Medicine, having authored 18 papers that have together received 403 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Pelvic floor disorders treatments (3 papers), Reinforcement Learning in Robotics (3 papers), Teaching and Learning Programming (2 papers), Human-Animal Interaction Studies (2 papers), MicroRNA in disease regulation (2 papers), AI-based Problem Solving and Planning (2 papers) and Enhanced Recovery After Surgery (2 papers). The work is most often cited by research in Occupational Therapy (40 citations), Social Psychology (160 citations) and Cognitive Neuroscience (139 citations). Meiying Qin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Brian Scassellati, Nicole Salomons, Chien‐Ming Huang, Frederick Shic, Pamela Ventola, Laura Boccanfuso, Robert Gerlai, Albert H.C. Wong, Diane Séguin and Sarah Sebo. Their work appears in journals such as International Journal of Biological Macromolecules, Frontiers in Pharmacology and Histochemistry and Cell Biology.

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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