Tianqi Tang

3.8k total citations · 1 hit paper
60 papers, 2.8k citations indexed

About

Tianqi Tang is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Ocean Engineering. According to data from OpenAlex, Tianqi Tang has authored 60 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 26 papers in Computational Mechanics and 21 papers in Ocean Engineering. Recurrent topics in Tianqi Tang's work include Granular flow and fluidized beds (24 papers), Advanced Memory and Neural Computing (22 papers) and Particle Dynamics in Fluid Flows (21 papers). Tianqi Tang is often cited by papers focused on Granular flow and fluidized beds (24 papers), Advanced Memory and Neural Computing (22 papers) and Particle Dynamics in Fluid Flows (21 papers). Tianqi Tang collaborates with scholars based in China, United States and Taiwan. Tianqi Tang's co-authors include Huazhong Yang, Yu Wang, Lixue Xia, Yurong He, Boxun Li, Yuan Xie, Song Yao, Boxun Li, Jiantao Qiu and Kaiyuan Guo and has published in prestigious journals such as Chemical Engineering Journal, International Journal of Heat and Mass Transfer and Energy.

In The Last Decade

Tianqi Tang

60 papers receiving 2.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Going Deeper with Embedded FPGA Platform for Convolutional Neural Network

2016 882 citations Tianqi Tang, Huazhong Yang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tianqi Tang China	24	1.8k	969	629	434	283	60	2.8k
Marian Verhelst Belgium	33	2.4k 1.4×	775 0.8×	643 1.0×	108 0.2×	111 0.4×	225	3.6k
Fei Qiao China	22	1.0k 0.6×	955 1.0×	349 0.6×	39 0.1×	76 0.3×	134	2.4k
Hun-Seok Kim United States	25	1.5k 0.8×	471 0.5×	513 0.8×	64 0.1×	157 0.6×	142	3.0k
Qi Wei China	17	737 0.4×	783 0.8×	253 0.4×	50 0.1×	54 0.2×	135	1.8k
T.H. Meng United States	22	1.4k 0.8×	192 0.2×	93 0.1×	272 0.6×	175 0.6×	109	3.1k
Sérgio Bampi Brazil	25	1.6k 0.9×	1.1k 1.1×	111 0.2×	61 0.1×	62 0.2×	444	3.2k
Se‐Young Oh South Korea	22	598 0.3×	900 0.9×	566 0.9×	191 0.4×	64 0.2×	129	2.8k
Chua‐Chin Wang Taiwan	22	1.6k 0.9×	214 0.2×	136 0.2×	18 0.0×	164 0.6×	318	2.1k
Francesco Conti Italy	24	999 0.6×	595 0.6×	405 0.6×	18 0.0×	62 0.2×	102	2.0k
Li Jiang China	21	1.3k 0.7×	296 0.3×	366 0.6×	28 0.1×	87 0.3×	162	1.8k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Liu, Hanru, Yurong He, Tianqi Tang, & Ming Zhai. (2024). Regulatory mechanism and applicability of pulsed gas on drying uniformity of non-spherical wet grains in a fluidized-bed. Powder Technology. 452. 120477–120477. 3 indexed citations

2.

Cheng, Gong, et al.. (2024). A novel double-layer lithium-ion battery thermal management system based on composite PCM optimized heat dissipation and preservation in cold climates. Journal of Energy Storage. 85. 110992–110992. 12 indexed citations

3.

Liu, Hanru, Yurong He, Tianqi Tang, & Ming Zhai. (2023). Prediction of the non-uniform drying of wet grain in a fluidised-bed based on a modified CFD-DEM drying model. Biosystems Engineering. 236. 103–119. 12 indexed citations

4.

Tang, Tianqi, et al.. (2023). Particle coating growth behaviors in a spray fluidized bed based on Gas-Liquid-Solid Quasi-Three-phase DEM numerical simulation. Chemical Engineering Journal. 476. 146480–146480. 9 indexed citations

5.

Wang, Tianyu, et al.. (2023). AI Prediction of H₂ Production in a Biomass Supercritical Water Gasification Fluidized Bed under Pulsating Inlets. Industrial & Engineering Chemistry Research. 62(42). 17182–17193. 2 indexed citations

6.

Wang, Tianyu, et al.. (2022). Artificial intelligence-based approach for cluster identification in a CFB riser. Chemical Engineering Science. 268. 118379–118379. 7 indexed citations

7.

Liu, Hanru, Yurong He, Tianqi Tang, & Ming Zhai. (2022). Cracking prediction of germinated brown rice based on intragranular drying kinetics. Powder Technology. 406. 117587–117587. 8 indexed citations

8.

Wang, Tianyu, et al.. (2020). Macroscopic and microscopic flow characteristics of particles in a sound assisted bubbling fluidized bed. Chemical Engineering and Processing - Process Intensification. 156. 108102–108102. 5 indexed citations

9.

Hu, Xing, et al.. (2020). Rescuing RRAM-Based Computing From Static and Dynamic Faults. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(10). 2049–2062. 13 indexed citations

10.

Cai, Yi, Tianqi Tang, Lixue Xia, et al.. (2019). Low Bit-Width Convolutional Neural Network on RRAM. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(7). 1414–1427. 52 indexed citations

11.

Yan, Shengnan, Yurong He, Tianqi Tang, & Tianyu Wang. (2019). Drag coefficient prediction for non-spherical particles in dense gas–solid two-phase flow using artificial neural network. Powder Technology. 354. 115–124. 43 indexed citations

12.

Wang, Xinzhi, Siyuan Luo, Tianqi Tang, Xing Liu, & Yurong He. (2019). A MCRT-FVM-FEM coupled simulation for optical-thermal-structural analysis of parabolic trough solar collectors. Energy Procedia. 158. 477–482. 13 indexed citations

13.

Cai, Yi, Tianqi Tang, Lixue Xia, et al.. (2018). Training low bitwidth convolutional neural network on RRAM. Asia and South Pacific Design Automation Conference. 117–122. 10 indexed citations

14.

Xia, Lixue, Wenqin Huangfu, Tianqi Tang, et al.. (2017). Stuck-at Fault Tolerance in RRAM Computing Systems. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8(1). 102–115. 115 indexed citations

15.

Su, Fang, Wei-Hao Chen, Lixue Xia, et al.. (2017). A 462GOPs/J RRAM-based nonvolatile intelligent processor for energy harvesting IoE system featuring nonvolatile logics and processing-in-memory. 54 indexed citations

16.

Su, Fang, Wei-Hao Chen, Lixue Xia, et al.. (2017). A 462GOPs/J RRAM-based nonvolatile intelligent processor for energy harvesting IoE system featuring nonvolatile logics and processing-in-memory. Rare & Special e-Zone (The Hong Kong University of Science and Technology). C260–C261. 40 indexed citations

17.

Liu, Lin, et al.. (2016). Three-dimensional finite element analysis of a newly designed onplant miniplate anchorage system. Journal of Huazhong University of Science and Technology [Medical Sciences]. 36(3). 422–427. 4 indexed citations

18.

Tang, Tianqi, Lixue Xia, Boxun Li, et al.. (2015). Spiking neural network with RRAM: can we use it for real-world application?. Design, Automation, and Test in Europe. 860–865. 20 indexed citations

19.

Zhang, Deming, et al.. (2015). Energy-efficient neuromorphic computation based on compound spin synapse with stochastic learning. 1538–1541. 13 indexed citations

20.

Wang, Yu, Tianqi Tang, Lixue Xia, et al.. (2015). Energy Efficient RRAM Spiking Neural Network for Real Time Classification. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 189–194. 43 indexed citations

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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