Shibo Wang

9.1k citations
245 papers · 5.6k · 1 hit paper · h-index 36

Impact in

Papers in

Shibo Wang

225 papers receiving 5.5k citations

Shibo Wang's Hit Papers

Conformer: Convolution-augmented Transformer for Speech Recognition 2020 · 1.8k citations
1.8k0+2+4Years since publication50010001.5k

Peers

Shibo Wang
Comparison fields: 5 of 170
  • Process Chemistry and Technology 268
  • Signal Processing 981
  • Polymers and Plastics 1.1k
  • Artificial Intelligence 1.5k
  • Biomaterials 344
Replace Ziyang Liu with:
Ziyang Liu China
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Yongjin Lee South Korea
Bo Li China
Fei Wang China
Hongyang Zhao China
Shuai Chen China
Tao Chen China
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Shibo Wang relative to Ziyang Liu China Ziyang Liu's profile →
Citations per field
00.5×5.5×
Ziyang Liu · 1×
Citations per year

Countries citing papers authored by Shibo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shibo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 245 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Conformer: Convolution-augmented Transformer for Speech Recognition
Hit paper breakdown →
20201798
2 2021128
3 2020124
4 2021107
5 2020106
6 201898
7 202194
8 200983
9 201882
10 202173
11 202069
12 202067
13 200864
14 202063
15 201958
16 200750
17 201649
18 202147
19 200447
20 201746

About Shibo Wang

Shibo Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Mechanical Engineering and Biomedical Engineering, having authored 245 papers that have together received 5.6k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (34 papers), Conducting polymers and applications (27 papers), biodegradable polymer synthesis and properties (15 papers), Chalcogenide Semiconductor Thin Films (13 papers), Carbon dioxide utilization in catalysis (13 papers), Polymer composites and self-healing (13 papers), Indoor and Outdoor Localization Technologies (11 papers) and Tribology and Wear Analysis (11 papers). The work is most often cited by research in Process Chemistry and Technology (268 citations), Signal Processing (981 citations), Polymers and Plastics (1.1k citations), Artificial Intelligence (1.5k citations) and Biomaterials (344 citations). Shibo Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chung‐Cheng Chiu, Ruoming Pang, James Qin, Jiahui Yu, Zhengdong Zhang, Wei Han, Niki Parmar, Yonghui Wu, Anmol Gulati and Yu Zhang. Their work appears in journals such as ACS Applied Materials & Interfaces, International Journal of Biological Macromolecules, Measurement, Polymer and International Journal of Chemical Reactor Engineering.

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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