ArticleDigital health
Research hotspots in rehabilitation robotics applied to lower extremity rehabilitation: A bibliometric study of the top 100 most cited publications based on the Web of Science database.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To analyze the research hotspots and development status of lower extremity rehabilitation robots. Methods: Publications related to lower extremity rehabilitation robots published between 2007 and 2025 were retrieved from the Web of Science Core Collection. The top 100 most-cited articles were selected for analysis. To conduct co-authorship, analysis of highly cited literature, keyword co-occurrence, clustering, and temporal trend analyses in this field, VOSviewer (version 6.3.R1 (64-bit)), CiteSpace (version 1.6.20), Microsoft Excel 2019 and HistCite were used. Results: The top 100 most-cited articles were first published in 2007, with citation counts ranging from 61 to 907. These articles were distributed across 42 journals, with the Conclusion: Research on lower extremity rehabilitation robots has primarily concentrated on neurological disorders, especially stroke-related gait rehabilitation. In contrast, orthopedic rehabilitation and long-term clinical validation are relatively underexplored and represent important future research directions. Multicenter, large-sample, and long-term follow-up clinical trials are warranted to evaluate the sustained effectiveness and translational value of rehabilitation robots in diverse clinical settings.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.