Inga Wang

50 papers receiving 331 citations

Peers

Inga Wang
Comparison fields: 5 of 67
  • Rehabilitation 33
  • Human-Computer Interaction 25
  • Occupational Therapy 20
  • Biomedical Engineering 110
  • Sensory Systems 9
Replace Hee Seung Yang with:
Hee Seung Yang South Korea
Meghan E. Vidt United States
Michael W. L. Sonne Canada
Arjen Bergsma Netherlands
Kyle N. Winfree United States
Alan Walmsley New Zealand
Eveline Silvia Graf Switzerland
Changmok Choi South Korea
Xiaoqin Duan China
Jérémy Rossi France
Inga Wang relative to Hee Seung Yang South Korea Hee Seung Yang's profile →
Citations per field
00.5×2×3×4×4.5×
Hee Seung Yang · 1×
Citations per year

Countries citing papers authored by Inga Wang

Since Specialization
Citations

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

Fields of papers citing papers by Inga Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Inga 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 Inga Wang Line = papers co-authored together Inga 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 200761
2 202147
3 202141
4 201919
5 202215
6 202312
7 202011
8 202110
9 20208
10 20228
11 20227
12 20237
13 20236
14 20236
15 20115
16 20205
17 20215
18 20224
19 20234
20 20244

About Inga Wang

Inga Wang is a scholar working on Rehabilitation, Biomedical Engineering, Occupational Therapy, Human-Computer Interaction and Ophthalmology, having authored 58 papers that have together received 336 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (18 papers), Prosthetics and Rehabilitation Robotics (14 papers), Assistive Technology in Communication and Mobility (5 papers), Lipoproteins and Cardiovascular Health (3 papers), Musculoskeletal pain and rehabilitation (3 papers), EEG and Brain-Computer Interfaces (3 papers), Robotic Mechanisms and Dynamics (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Rehabilitation (33 citations), Human-Computer Interaction (25 citations), Occupational Therapy (20 citations), Biomedical Engineering (110 citations) and Sensory Systems (9 citations). Inga Wang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Mohammad Habibur Rahman, Brahim Brahmi, Nessy Tania, Yan Bai, Antonio Zaccaria Politi, Michael J. Sanderson, James Sneyd, Md Samiul Haque Sunny, Md Rasedul Islam and Md Ishrak Islam Zarif. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, Journal of Hand Therapy, American Journal of Occupational Therapy, Journal of Electromyography and Kinesiology and Environmental Toxicology.

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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