Junrui Yang

1.1k citations
43 papers · 744 · h-index 15

Impact in

Papers in

Junrui Yang

40 papers receiving 737 citations

Peers

Junrui Yang
Comparison fields: 5 of 104
  • Human-Computer Interaction 266
  • Cognitive Neuroscience 170
  • Health Informatics 8
  • Computer Vision and Pattern Recognition 117
  • Information Systems 92
Replace Antônio Tadeu A. Gomes with:
Antônio Tadeu A. Gomes Brazil
Bryan Wang United States
Haojian Jin United States
Matúš Pleva Slovakia
Meihong Yang China
Jürgen Scheible Germany
Mohammed Hasanuzzaman Ireland
Abdul Serwadda United States
Do‐Young Lee South Korea
Junrui Yang relative to Antônio Tadeu A. Gomes Brazil Antônio Tadeu A. Gomes's profile →
Citations per field
00.5×5.3×
Antônio Tadeu A. Gomes · 1×
Citations per year

Countries citing papers authored by Junrui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junrui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 201990
3 202165
4 201558
5 201951
6 201641
7 201836
8 201633
9 201632
10 202231
11 202228
12 201127
13 201725
14 201918
15 202416
16 202013
17 20208
18 20177
19 20086
20 20246

About Junrui Yang

Junrui Yang is a scholar working on Information Systems, Mechanical Engineering, Human-Computer Interaction, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 43 papers that have together received 744 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Rough Sets and Fuzzy Logic (7 papers), Tactile and Sensory Interactions (6 papers), Electrical Contact Performance and Analysis (4 papers), Virtual Reality Applications and Impacts (4 papers), Speech and dialogue systems (3 papers), Data Management and Algorithms (3 papers) and Interactive and Immersive Displays (3 papers). The work is most often cited by research in Human-Computer Interaction (266 citations), Cognitive Neuroscience (170 citations), Health Informatics (8 citations), Computer Vision and Pattern Recognition (117 citations) and Information Systems (92 citations). Junrui Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include James A. Landay, Sean Follmer, Parastoo Abtahi, Benoit Landry, Marco Pavone, Guojun Chen, Guobin Shen, Chenren Xu, Andrew D. Wilson and Christian Holz. Their work appears in journals such as Sustainability, Ceramics International, Pervasive and Mobile Computing, Microporous and Mesoporous Materials and IEEE Robotics and Automation Letters.

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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