Mingjing Yang

32 papers receiving 569 citations

Peers

Mingjing Yang
Comparison fields: 5 of 115
  • Physical Therapy, Sports Therapy and Rehabilitation 74
  • Neuropsychology and Physiological Psychology 8
  • Periodontics 19
  • Computer Vision and Pattern Recognition 90
  • Endocrinology, Diabetes and Metabolism 54
Replace Inês Sousa with:
Inês Sousa Portugal
Cliodhna Ní Scanaill Ireland
Lucia Pepa Italy
Y. Higashi Japan
Tatsuya Ishihara Japan
Carmen Abbott United States
Mas Sahidayana Mohktar Malaysia
Heribert Baldus Germany
Miki Sato Japan
Mingjing Yang relative to Inês Sousa Portugal Inês Sousa's profile →
Citations per field
00.5×2.7×
Inês Sousa · 1×
Citations per year

Countries citing papers authored by Mingjing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mingjing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202379
2 201258
3 200955
4 201141
5 199930
6 200829
7
[The relationships between the elderly loneliness and its factors of personal attributes, perceived health status and social support].
199927
8 201226
9 202224
10 202323
11 201123
12 199823
13 202522
14 201022
15 200121
16 201219
17 202314
18 201110
19 20227
20 20207

About Mingjing Yang

Mingjing Yang is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Endocrinology, Diabetes and Metabolism, Physical Therapy, Sports Therapy and Rehabilitation and Electrical and Electronic Engineering, having authored 39 papers that have together received 593 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (8 papers), Balance, Gait, and Falls Prevention (6 papers), Diabetic Foot Ulcer Assessment and Management (6 papers), Muscle activation and electromyography studies (4 papers), Advanced Battery Technologies Research (3 papers), Advancements in Battery Materials (3 papers), Advanced X-ray and CT Imaging (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (74 citations), Neuropsychology and Physiological Psychology (8 citations), Periodontics (19 citations), Computer Vision and Pattern Recognition (90 citations) and Endocrinology, Diabetes and Metabolism (54 citations). Mingjing Yang has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Haiying Wang, Huiru Zheng, Sally McClean, N. Harris, Wenxiao Shi, S. Chang, Liqin Huang, David Newell, Jane Hall and Shulei Chou. Their work appears in journals such as Science China Chemistry, IEEE Transactions on Medical Imaging, Public Health, Computers in Biology and Medicine and International Journal of Integrated Care.

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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