Jiahui Wang

1.6k citations
35 papers · 1.4k · h-index 14

Impact in

Papers in

Jiahui Wang

29 papers receiving 1.4k citations

Peers

Jiahui Wang
Comparison fields: 5 of 81
  • Polymers and Plastics 592
  • Biomedical Engineering 1.1k
  • Cellular and Molecular Neuroscience 402
  • Cognitive Neuroscience 349
  • Neurology 84
Replace Sanghoon Lee with:
Sanghoon Lee South Korea
Kang‐Il Song South Korea
Enming Song China
Raza Qazi South Korea
Sang Min Won South Korea
Abraham Vázquez‐Guardado United States
Chi Lu United States
Shih-Cheng Yen Singapore
Joong Hoon Lee South Korea
Fengle Wang China
Jiahui Wang relative to Sanghoon Lee South Korea Sanghoon Lee's profile →
Citations per field
00.5×1.5×
Sanghoon Lee · 1×
Citations per year

Countries citing papers authored by Jiahui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jiahui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019222
2 2019152
3 2017132
4 2019120
5 2019118
6 201599
7 201897
8 201997
9 201781
10 201751
11 202045
12 201638
13 201735
14 201915
15 202113
16 20259
17 20239
18 20168
19 20157
20 20226

About Jiahui Wang

Jiahui Wang is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics and Control and Systems Engineering, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), Advanced Sensor and Energy Harvesting Materials (10 papers), Muscle activation and electromyography studies (9 papers), Conducting polymers and applications (6 papers), EEG and Brain-Computer Interfaces (6 papers), 3D Shape Modeling and Analysis (3 papers), 3D Surveying and Cultural Heritage (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Polymers and Plastics (592 citations), Biomedical Engineering (1.1k citations), Cellular and Molecular Neuroscience (402 citations), Cognitive Neuroscience (349 citations) and Neurology (84 citations). Jiahui Wang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Chengkuo Lee, Nitish V. Thakor, Hao Wang, Tianyiyi He, Qiongfeng Shi, Sanghoon Lee, John S. Ho, Shih-Cheng Yen, Shih‐Cheng Yen and Xi Tian. Their work appears in journals such as Advanced Science, Nano Energy, ACS Nano, Frontiers in Neural Circuits and Cognitive Computation.

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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