Chenkai Dai

38 papers receiving 1.1k citations

Peers

Chenkai Dai
Comparison fields: 5 of 35
  • Neurology 345
  • Otorhinolaryngology 272
  • Sensory Systems 76
  • Cellular and Molecular Neuroscience 60
  • Biomedical Engineering 64
Replace Michel C. H. Gersdorff with:
Michel C. H. Gersdorff Belgium
Hideko Heidi Nakajima United States
Furong Ma China
Osama Tarabichi United States
Elizabeth S. Olson United States
Nicolas Verhaert Belgium
Claude N. Jolly Austria
Susan E. Voss United States
Sabine Reinfeldt Sweden
Serena Fiocchi Italy
Chenkai Dai relative to Michel C. H. Gersdorff Belgium Michel C. H. Gersdorff's profile →
Citations per field
00.5×2×3.4×
Michel C. H. Gersdorff · 1×
Citations per year

Countries citing papers authored by Chenkai Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chenkai Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenkai Dai, 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 Chenkai Dai Line = papers co-authored together Chenkai Dai 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 2006134
2 200970
3 201069
4 200760
5 200859
6 201159
7 201157
8 200953
9 200647
10 201147
11 201743
12 201140
13 201339
14 201337
15 200935
16 201034
17 201334
18 200829
19 201528
20 201325

About Chenkai Dai

Chenkai Dai is a scholar working on Neurology, Otorhinolaryngology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (12 papers), Ear Surgery and Otitis Media (8 papers), Neuroscience and Neural Engineering (4 papers), Elasticity and Material Modeling (2 papers), Hearing Loss and Rehabilitation (2 papers) and Hearing, Cochlea, Tinnitus, Genetics (1 paper). The work is most often cited by research in Neurology (345 citations), Otorhinolaryngology (272 citations), Sensory Systems (76 citations), Cellular and Molecular Neuroscience (60 citations) and Biomedical Engineering (64 citations). Chenkai Dai has collaborated with scholars based in United States, Canada and Cyprus. Frequent co-authors include Rong Z. Gan, Charles C. Della Santina, Gene Y. Fridman, Tao Cheng, Mark W. Wood, Natan S. Davidovics, Bryce Chiang, Mehdi A. Rahman, Hongbing Lu and Joong Ho Ahn. Their work appears in journals such as Journal of the Association for Research in Otolaryngology, Hearing Research, The Journal of the Acoustical Society of America, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Otology & Neurotology.

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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