Shihao Tang

1.7k total citations · 1 hit paper
35 papers, 1.3k citations indexed

About

Shihao Tang is a scholar working on Statistical and Nonlinear Physics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Shihao Tang has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 10 papers in Biomedical Engineering and 6 papers in Mechanical Engineering. Recurrent topics in Shihao Tang's work include Advanced Thermodynamics and Statistical Mechanics (10 papers), Phase Equilibria and Thermodynamics (9 papers) and Indoor and Outdoor Localization Technologies (4 papers). Shihao Tang is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (10 papers), Phase Equilibria and Thermodynamics (9 papers) and Indoor and Outdoor Localization Technologies (4 papers). Shihao Tang collaborates with scholars based in China, United States and France. Shihao Tang's co-authors include J. V. Sengers, S. B. Kiselev, Shaobo Li, Zheng Wang, Jun Wang, Hao Dong, Jing Yang, J. V. Sengers, Zhen‐Yu Chen and Qingguo Peng and has published in prestigious journals such as The Journal of Chemical Physics, Physical Review A and Energy.

In The Last Decade

Shihao Tang

33 papers receiving 1.3k citations

Hit Papers

Using Deep Learning to Detect Defects in Manufacturing: A... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shihao Tang China 17 526 306 279 212 199 35 1.3k
R. Tao United States 29 927 1.8× 126 0.4× 452 1.6× 64 0.3× 214 1.1× 121 3.0k
S. M. Richardson United Kingdom 25 827 1.6× 676 2.2× 226 0.8× 88 0.4× 540 2.7× 96 2.7k
Gian Paolo Beretta Italy 22 287 0.5× 317 1.0× 199 0.7× 709 3.3× 268 1.3× 116 1.6k
Yanzhi Zhang China 28 402 0.8× 594 1.9× 422 1.5× 264 1.2× 93 0.5× 111 2.1k
Shuguang Li China 24 1.2k 2.3× 93 0.3× 247 0.9× 36 0.2× 782 3.9× 138 2.1k
R. Rajagopalan United States 23 283 0.5× 58 0.2× 192 0.7× 33 0.2× 52 0.3× 102 1.4k
A. Liakopoulos Greece 23 634 1.2× 102 0.3× 233 0.8× 156 0.7× 202 1.0× 68 1.3k
Xing Liu China 18 242 0.5× 48 0.2× 476 1.7× 274 1.3× 203 1.0× 97 1.6k
Xiaodong Wang China 21 328 0.6× 130 0.4× 181 0.6× 65 0.3× 187 0.9× 145 1.9k
Zhongcheng Wang China 18 109 0.2× 60 0.2× 54 0.2× 142 0.7× 120 0.6× 67 1.3k

Countries citing papers authored by Shihao Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shihao Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihao Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Shihao Tang. A scholar is included among the top collaborators of Shihao 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 Shihao Tang. Shihao 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
1.
Hu, Lei, Chaoqun Huang, Xiaoyuan Wang, et al.. (2025). Experimental and numerical study on optimizing thermoelectric generator for improved energy efficiency of heat recovery. Energy. 341. 139514–139514.
2.
Tang, Shihao, et al.. (2024). Machine learning assisted design and preparation of Fe85Si2B8.5P3.5C1 amorphous/nanocrystalline alloy with high B and low H. Materials & Design. 248. 113461–113461. 4 indexed citations
3.
Liao, Jianhua, Guozhong Wu, Yang Li, et al.. (2024). A Filter Capsule Detection and Correction Method Based on Visual Detection and PID Control Linkage. 851–856. 1 indexed citations
4.
Tang, Shihao, Jia Wei, Bo Xie, et al.. (2023). Experimental and numerical investigation on H2-fueled thermophotovoltaic micro tube with multi-cavity. Energy. 274. 127325–127325. 17 indexed citations
5.
Peng, Qingguo, Zhiwei Shi, Bo Xie, et al.. (2023). Optimisation of a micro-thermophotovoltaic with porous media inserted burner for electrical power improvement. Renewable Energy. 215. 118950–118950. 13 indexed citations
6.
Xie, Bo, Qingguo Peng, E Jiaqiang, et al.. (2022). Effects of CO addition and multi-factors optimization on hydrogen/air combustion characteristics and thermal performance based on grey relational analysis. Energy. 255. 124573–124573. 28 indexed citations
7.
Zhang, Mengqi, Jinquan Liu, Shihao Tang, & Liangcheng Tu. (2020). Cross-axis Sensitivity Calibration of MEMS Gravimeters on a Dividing Head. 1–4. 2 indexed citations
8.
Deng, Zhongliang, et al.. (2020). A Fine Fast Acquisition Scheme for a Communication and Navigation Fusion System. Applied Sciences. 10(10). 3434–3434. 1 indexed citations
9.
Yang, Jing, Shaobo Li, Zheng Wang, et al.. (2020). Using Deep Learning to Detect Defects in Manufacturing: A Comprehensive Survey and Current Challenges. Materials. 13(24). 5755–5755. 297 indexed citations breakdown →
10.
Wu, Wenjie, Huafeng Liu, Shitao Yan, et al.. (2020). Measurement of Tidal Tilt by a Micromechanical Inertial Sensor Employing Quasi-Zero- Stiffness Mechanism. Journal of Microelectromechanical Systems. 29(5). 1322–1331. 28 indexed citations
11.
Deng, Zhongliang, et al.. (2019). Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System. Electronics. 8(8). 829–829. 7 indexed citations
12.
Tang, Shihao, Huafeng Liu, Shitao Yan, et al.. (2019). A high-sensitivity MEMS gravimeter with a large dynamic range. Microsystems & Nanoengineering. 5(1). 45–45. 91 indexed citations
13.
Yin, Cunhong, et al.. (2019). Lowering the coefficient of martensite steel by forming a self-lubricating layer in dry sliding wear. Materials Research Express. 6(5). 55024–55024. 24 indexed citations
14.
Deng, Zhongliang, et al.. (2019). A Closed-Form Localization Algorithm and GDOP Analysis for Multiple TDOAs and Single TOA Based Hybrid Positioning. Applied Sciences. 9(22). 4935–4935. 12 indexed citations
15.
16.
Tang, Shihao, et al.. (1993). Global thermodynamic behavior of fluid mixtures in the critical region. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 47(1). 388–402. 59 indexed citations
17.
Kiselev, S. B., et al.. (1992). Crossover approach to global critical phenomena in fluids. Physica A Statistical Mechanics and its Applications. 188(4). 487–525. 217 indexed citations
18.
Tang, Shihao, et al.. (1992). Thermodynamic properties of methane in the critical region. International Journal of Thermophysics. 13(4). 671–684. 9 indexed citations
19.
Tang, Shihao, et al.. (1991). Nonasymptotic critical thermodynamical behavior of fluids. Physica A Statistical Mechanics and its Applications. 179(3). 344–377. 58 indexed citations
20.
Chen, Zhen‐Yu, et al.. (1990). Global thermodynamic behavior of fluids in the critical region. Physical Review A. 42(8). 4470–4484. 143 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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