Haojun Tang

914 total citations
49 papers, 728 citations indexed

About

Haojun Tang is a scholar working on Computational Mechanics, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Haojun Tang has authored 49 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Mechanics, 26 papers in Environmental Engineering and 16 papers in Aerospace Engineering. Recurrent topics in Haojun Tang's work include Fluid Dynamics and Vibration Analysis (33 papers), Wind and Air Flow Studies (26 papers) and Aerodynamics and Fluid Dynamics Research (15 papers). Haojun Tang is often cited by papers focused on Fluid Dynamics and Vibration Analysis (33 papers), Wind and Air Flow Studies (26 papers) and Aerodynamics and Fluid Dynamics Research (15 papers). Haojun Tang collaborates with scholars based in China, Hong Kong and United States. Haojun Tang's co-authors include Yongle Li, Guanghao Zhai, Chen Fang, Chuanjin Yu, Yulong Bao, K.M. Shum, Jingyu Zhang, Xingyu Chen, Xinzhong Chen and Xinyu Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Energy Conversion and Management.

In The Last Decade

Haojun Tang

48 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haojun Tang China 15 363 325 225 177 163 49 728
Yan Han China 13 184 0.5× 166 0.5× 171 0.8× 128 0.7× 70 0.4× 38 525
Zilong Ti China 15 258 0.7× 234 0.7× 309 1.4× 124 0.7× 62 0.4× 36 718
Emmanuel Branlard United States 17 327 0.9× 329 1.0× 540 2.4× 70 0.4× 106 0.7× 55 712
Yong Cao China 18 627 1.7× 518 1.6× 409 1.8× 67 0.4× 111 0.7× 65 1.1k
Michiel Zaaijer Netherlands 12 124 0.3× 126 0.4× 318 1.4× 202 1.1× 104 0.6× 28 659
Guoqing Wu China 13 148 0.4× 162 0.5× 400 1.8× 53 0.3× 64 0.4× 46 740
Zidong Xu China 14 144 0.4× 182 0.6× 76 0.3× 335 1.9× 108 0.7× 46 591
Tuhfe Göçmen Denmark 15 245 0.7× 425 1.3× 779 3.5× 33 0.2× 82 0.5× 46 982
Uwe Schmidt Paulsen Denmark 17 369 1.0× 399 1.2× 729 3.2× 77 0.4× 70 0.4× 66 893

Countries citing papers authored by Haojun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Haojun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haojun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Haojun Tang. A scholar is included among the top collaborators of Haojun 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 Haojun Tang. Haojun 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.
Tang, Haojun, et al.. (2024). M6A modification and T cells in adipose tissue inflammation. Cell Biochemistry and Function. 42(5). e4089–e4089. 1 indexed citations
2.
Tang, Haojun, et al.. (2024). Text-Guided Diverse Image Synthesis for Long-Tailed Remote Sensing Object Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 6 indexed citations
3.
Tang, Haojun, et al.. (2024). Flutter performance of a suspension bridge equipped with separated oblique stabilizers covering different span lengths. Engineering Structures. 319. 118826–118826. 5 indexed citations
4.
5.
Tang, Haojun & Yongle Li. (2023). Flutter performance of a double-main-span suspension bridge during erection with temporary constraints on girders. Journal of Wind Engineering and Industrial Aerodynamics. 240. 105508–105508. 5 indexed citations
6.
Tang, Haojun, Jia Kang, & Yongle Li. (2023). Aerostatic and aerodynamic stability of a suspension bridge during early erection stages. Journal of Wind Engineering and Industrial Aerodynamics. 233. 105297–105297. 9 indexed citations
7.
8.
Xu, Siyi, et al.. (2023). Targeted characterization and guided isolation of chemical components in Scrophulariae Radix based on LC-MS. Journal of Pharmaceutical and Biomedical Analysis. 235. 115569–115569. 2 indexed citations
9.
Tang, Haojun, et al.. (2021). Flutter performance of box girders with different wind fairings at large angles of attack. Wind and Structures. 32(5). 509–520. 13 indexed citations
10.
Chen, Xingyu, Junjie Guo, Haojun Tang, Yongle Li, & Lei Wang. (2020). Non-uniform wind environment in mountainous terrain and aerostatic stability of a bridge. Wind and Structures. 30(6). 649–662. 7 indexed citations
11.
Fang, Chen, et al.. (2020). Vortex-Induced Vibration of a Tall Bridge Tower with Four Columns and the Wake Effects on the Nearby Suspenders. International Journal of Structural Stability and Dynamics. 20(9). 2050105–2050105. 12 indexed citations
12.
Li, Yongle, Junjie Guo, Xingyu Chen, Haojun Tang, & Jingyu Zhang. (2020). Blockage effects on aerodynamics and flutter performance of a streamlined box girder. Wind and Structures. 30(1). 55–67. 1 indexed citations
13.
Li, Yongle, et al.. (2020). Wind characteristics of a bridge site and wind-resistance key technology in complex mountains. Scientia Sinica Technologica. 51(5). 530–542. 8 indexed citations
14.
Guo, Junjie, Haojun Tang, Yongle Li, & Zewen Wang. (2020). Effects of guardrails on wind environment for vehicles and aerodynamic stability for bridges with box girders. Advances in Structural Engineering. 24(3). 453–469. 5 indexed citations
15.
Fang, Chen, Haojun Tang, & Yongle Li. (2020). Stochastic Response Assessment of Cross-Sea Bridges under Correlated Wind and Waves via Machine Learning. Journal of Bridge Engineering. 25(6). 26 indexed citations
16.
Chen, Xingyu, et al.. (2020). Flutter Stability of a Long-Span Suspension Bridge During Erection in Mountainous Areas. International Journal of Structural Stability and Dynamics. 20(9). 2050102–2050102. 17 indexed citations
17.
Fang, Chen, et al.. (2019). Effects of random winds and waves on a long-span cross-sea bridge using Bayesian regularized back propagation neural network. Advances in Structural Engineering. 23(4). 733–748. 20 indexed citations
18.
Li, Yongle, Fang Chen, Fang Qiu, et al.. (2019). Wave Current Force Action and Foundation Scour of Marine Bridges. Strategic Study of CAE. 21(3). 18–18. 3 indexed citations
19.
Tang, Haojun, et al.. (2017). Aerodynamic optimization for flutter performance of steel truss stiffening girder at large angles of attack. Journal of Wind Engineering and Industrial Aerodynamics. 168. 260–270. 36 indexed citations
20.
Tang, Haojun, et al.. (1996). <title>Procedures for rapid pattern recognition of three-dimensional objects using parallel processing on a hexagonal pixel grid</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2666. 2–8. 2 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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