Tianqi Tang

3.8k citations
60 papers · 2.8k indexed · 1 hit paper · h-index 24
Topics
Granular flow and fluidized beds (24 papers)Advanced Memory and Neural Computing (22 papers)Particle Dynamics in Fluid Flows (21 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Tianqi Tang

60 papers receiving 2.7k citations

Hit Papers

Going Deeper with Embedded FPGA Platform for Convolutiona...20162026201920222016250500750

Peers

Tianqi Tang
Comparison fields: 5 of 107
  • Electrical and Electronic Engineering 1.8k
  • Computer Vision and Pattern Recognition 969
  • Artificial Intelligence 629
  • Computational Mechanics 434
  • Cellular and Molecular Neuroscience 283
Replace Marian Verhelst with:
Marian Verhelst Belgium
Hun-Seok Kim United States
Erjin Zhou China
Fei Qiao China
Xingyu Liu China
Jincheng Yu China
Kaisheng Ma China
Li Jiang China
Francesco Conti Italy
Zhen Dong China
Tianqi Tang relative to Marian Verhelst Belgium Marian Verhelst's profile →
Citations per field
00.5×4.0×
Marian Verhelst · 1×
Citations per year

Countries citing papers authored by Tianqi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Tianqi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianqi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Tianqi Tang. A scholar is included among the top collaborators of Tianqi Tang 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 Tianqi Tang. Tianqi Tang 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 4
2 1
3 12
4 3
5 12
6 9
7 2
8 7
9 8
10 9
11 52
12 43
13 13
14 10
15 115
16 54
17 4
18 20
19 13
20 29

About Tianqi Tang

Tianqi Tang is a scholar working on Ocean Engineering, Computational Mechanics and Electrical and Electronic Engineering, having authored 60 papers that have together received 2.8k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (24 papers), Advanced Memory and Neural Computing (22 papers) and Particle Dynamics in Fluid Flows (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (969 citations), Hardware and Architecture (229 citations) and Electrical and Electronic Engineering (1.8k citations). Tianqi Tang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Huazhong Yang, Yu Wang, Lixue Xia, Yurong He, Boxun Li, Yuan Xie, Song Yao, Boxun Li, Jincheng Yu and Jiantao Qiu. Their work appears in journals such as Chemical Engineering Journal, International Journal of Heat and Mass Transfer and Energy.

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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