Chao Tan

4.1k total citations
234 papers, 3.1k citations indexed

About

Chao Tan is a scholar working on Mechanics of Materials, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Chao Tan has authored 234 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Mechanics of Materials, 125 papers in Electrical and Electronic Engineering and 95 papers in Biomedical Engineering. Recurrent topics in Chao Tan's work include Flow Measurement and Analysis (133 papers), Electrical and Bioimpedance Tomography (120 papers) and Fluid Dynamics and Mixing (61 papers). Chao Tan is often cited by papers focused on Flow Measurement and Analysis (133 papers), Electrical and Bioimpedance Tomography (120 papers) and Fluid Dynamics and Mixing (61 papers). Chao Tan collaborates with scholars based in China, United Kingdom and Japan. Chao Tan's co-authors include Feng Dong, Hao Wu, Xuewei Shi, Shangjie Ren, Jiabin Jia, Feng Li, Masahiro Takei, Weiling Liu, Hao Liu and Yuichi Murai and has published in prestigious journals such as Journal of The Electrochemical Society, Chemical Engineering Journal and IEEE Transactions on Industrial Electronics.

In The Last Decade

Chao Tan

219 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Tan China 30 1.6k 1.5k 1.3k 892 397 234 3.1k
Lijun Xu China 37 2.3k 1.4× 1.1k 0.8× 1.5k 1.2× 970 1.1× 375 0.9× 479 5.7k
Feng Dong China 37 2.8k 1.8× 2.3k 1.5× 1.8k 1.4× 1.5k 1.7× 631 1.6× 469 5.1k
Marko Vauhkonen Finland 36 3.2k 2.0× 1.7k 1.2× 1.5k 1.2× 927 1.0× 1.5k 3.7× 156 4.8k
M.S. Beck United Kingdom 33 3.0k 1.9× 1.7k 1.2× 1.1k 0.8× 1.2k 1.3× 841 2.1× 94 3.8k
Chao Wang China 29 1.2k 0.8× 529 0.4× 521 0.4× 944 1.1× 184 0.5× 313 3.2k
W.J. Mansur Brazil 28 973 0.6× 1.5k 1.0× 276 0.2× 408 0.5× 262 0.7× 201 3.0k
Haitao Wang China 32 494 0.3× 1.4k 0.9× 355 0.3× 1.5k 1.7× 150 0.4× 372 4.0k
Steven D. Glaser United States 30 822 0.5× 702 0.5× 333 0.3× 330 0.4× 618 1.6× 111 3.6k
Shen Wang China 34 558 0.4× 1.3k 0.9× 361 0.3× 1.5k 1.7× 218 0.5× 278 3.5k
Feng Han China 34 749 0.5× 568 0.4× 690 0.6× 180 0.2× 411 1.0× 122 3.3k

Countries citing papers authored by Chao Tan

Since Specialization
Citations

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

Fields of papers citing papers by Chao Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Tan. A scholar is included among the top collaborators of Chao Tan 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 Chao Tan. Chao Tan 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
1.
Shi, Xuewei, et al.. (2025). Flow Rate Measurement of Oil–Gas–Water Three-Phase Slug Flow Using Pulse Wave Ultrasonic Doppler Technique. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.
2.
Tan, Chao, et al.. (2024). Joint mining of fluid knowledge and multi-sensor data for gas–water two-phase flow status monitoring and evolution analysis. Advanced Engineering Informatics. 62. 102687–102687. 2 indexed citations
3.
Liang, Guanghui, et al.. (2024). Res2-UNet++: a deep learning image post-processing method for electrical resistance tomography. Measurement Science and Technology. 35(10). 105403–105403. 2 indexed citations
4.
5.
Zhao, Pan, Yueyao Yang, Yaowen Zhang, et al.. (2023). Enantioselective separation and simulation studies of five flavanone glycosides on a cellulose tris-(3,5-dichlorophenylcarbamate) chiral stationary phase. Journal of Molecular Liquids. 374. 121260–121260. 3 indexed citations
6.
Hou, Wenxiu, Chao Tan, Hao Wu, & Feng Dong. (2023). Phase Distribution Measurement of Liquid–Solid Media Using Multimode Ultrasound. IEEE Sensors Journal. 23(7). 7483–7492. 4 indexed citations
7.
Tan, Chao, et al.. (2023). Combinational Multimodality Tomography System for Industrial Multiphase Flow Imaging. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 10 indexed citations
8.
Yu, Xinmei, Yanyan Xu, Yan Chen, et al.. (2022). Salvianolic acid B exerts an anti-hepatocellular carcinoma effect by regulating the Hippo/YAP pathway and promoting pSmad3L to pSmad3C simultaneously. European Journal of Pharmacology. 939. 175423–175423. 12 indexed citations
9.
Santos, Eduardo Nunes dos, et al.. (2022). Capacitive Sensors for Multiphase Flow Measurement: A Review. IEEE Sensors Journal. 22(22). 21391–21409. 29 indexed citations
10.
Tan, Chao, et al.. (2022). Permutation Entropy for Graph Signals. IEEE Transactions on Signal and Information Processing over Networks. 8. 288–300. 17 indexed citations
11.
Shi, Xuewei, Feng Dong, & Chao Tan. (2021). Horizontal oil-water two-phase flow characterization and identification with pulse-wave ultrasonic Doppler technique. Chemical Engineering Science. 246. 117015–117015. 12 indexed citations
12.
Dong, Feng, et al.. (2021). Flow Regimes Identification-based Multidomain Features for Gas–Liquid Two-Phase Flow in Horizontal Pipe. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 28 indexed citations
13.
Han, Yu, Chao Tan, Hao Wu, & Feng Dong. (2021). Oil Fraction Measurement of Nonuniform Dispersed Oil–Water Two-Phase Flow Based on Ultrasonic Attenuation. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 10 indexed citations
14.
Shi, Xuewei, Chao Tan, Feng Dong, Eduardo Nunes dos Santos, & Marco J. da Silva. (2020). Conductance Sensors for Multiphase Flow Measurement: A Review. IEEE Sensors Journal. 21(11). 12913–12925. 60 indexed citations
15.
Shi, Xuewei, Chao Tan, Hao Wu, & Feng Dong. (2020). An Electrical and Ultrasonic Doppler System for Industrial Multiphase Flow Measurement. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 30 indexed citations
16.
Shi, Xuewei, et al.. (2018). Structural Velocity Measurement of Gas–Liquid Slug Flow Based on EMD of Continuous Wave Ultrasonic Doppler. IEEE Transactions on Instrumentation and Measurement. 67(11). 2662–2675. 24 indexed citations
17.
Dong, Feng, Renjie Wu, & Chao Tan. (2016). Phase Holdup Estimation of Oil-Water Two-Phase Flow Based on Cross-Sectional Conductivity Information. 49(11). 1126.
18.
Gan, Heng, et al.. (2013). Transmission loss modelling and analysis with multiple linear regression. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 2 indexed citations
19.
Tan, Chao, et al.. (2010). AN INFORMATION FUSION METHOD OF ERT DATA FOR GAS-WATER TWO-PHASE FLOW REGIME RECOGNITION. 31(5). 785–788. 1 indexed citations
20.
Tan, Chao. (2006). The principle and application of modern NAT detect technology. 1 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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