Tai Wang

2.4k citations
58 papers · 1.2k indexed · h-index 20
Topics
Heat shock proteins research (11 papers)Computational Drug Discovery Methods (7 papers)Probabilistic and Robust Engineering Design (5 papers)

In The Last Decade

Tai Wang

53 papers receiving 1.2k citations

Peers

Tai Wang
Comparison fields: 5 of 146
  • Molecular Biology 540
  • Plant Science 220
  • Computational Theory and Mathematics 122
  • Materials Chemistry 106
  • Cell Biology 101
Replace Yi Lü with:
Yi Lü China
Debashis Mukhopadhyay India
Yasushi Hasegawa Japan
Akira Asano Japan
Sang‐Hyeon Lee South Korea
Xin Liu China
Ye Gao China
Marko Jovanović United States
Zijing Liu China
Weijian Zhang China
Tai Wang relative to Yi Lü China Yi Lü's profile →
Citations per field
00.5×10×15×20.3×
Yi Lü · 1×
Citations per year

Countries citing papers authored by Tai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tai Wang. A scholar is included among the top collaborators of Tai Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tai Wang. Tai Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 2
4 1
5 20
6 4
7 21
8 12
9 12
10
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds
4
11 15
12 3
13 75
14 94
15 87
16 11
17 39
18 20
19
Components and Functions of Ubiquitin System(I) - Components Recognition of Substrates and Protein Ubiquitination
1
20
Components and Functions of the Ubiquitin System (II) - Biological Functions and Applications in Biotechnology
1

About Tai Wang

Tai Wang is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Aquatic Science, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Heat shock proteins research (11 papers), Computational Drug Discovery Methods (7 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Pharmaceutical Science (72 citations), Statistics, Probability and Uncertainty (68 citations) and Molecular Biology (540 citations). Tai Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Shaojun Dai, Heng Zhang, Sixue Chen, Gabriela Chiosis, Suhasini Joshi, Qi Zhao, Didier Picard, Xufeng Yang, Sahil Sharma and Pascal Mäser. Their work appears in journals such as Journal of Biological Chemistry, Nature reviews. Cancer and PLoS ONE.

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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