Xiaolin Tang

1.4k total citations
36 papers, 1.2k citations indexed

About

Xiaolin Tang is a scholar working on Polymers and Plastics, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Xiaolin Tang has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Polymers and Plastics, 11 papers in Mechanical Engineering and 8 papers in Civil and Structural Engineering. Recurrent topics in Xiaolin Tang's work include Polymer Nanocomposites and Properties (9 papers), Epoxy Resin Curing Processes (9 papers) and Polymer composites and self-healing (7 papers). Xiaolin Tang is often cited by papers focused on Polymer Nanocomposites and Properties (9 papers), Epoxy Resin Curing Processes (9 papers) and Polymer composites and self-healing (7 papers). Xiaolin Tang collaborates with scholars based in China, Australia and Bulgaria. Xiaolin Tang's co-authors include Chongchong Qi, Andy Fourie, Yingfeng Yu, Qiusong Chen, Xuhao Du, Shanjun Li, Xiangjian Dong, Li Shi, Guozhu Zhan and Guowei Ma and has published in prestigious journals such as Langmuir, Journal of Cleaner Production and Journal of Colloid and Interface Science.

In The Last Decade

Xiaolin Tang

36 papers receiving 1.2k citations

Peers

Xiaolin Tang

CSE

SRRQ

Shuai Du China

Qianli Zhang China

Jiaolong Ren China

Yu Tang China

Rui Ren China

Xiliang Zhang China

Mahyar Arabani Iran

Muhannad T. Suleiman United States

Feiyue Wang China

Shuai Du China

Xiaolin Tang

359 ×0.8

CSE

371 ×1.2

701 ×2.4

133 ×0.6

SRRQ

29 ×0.1

Citations per year, relative to Xiaolin Tang Xiaolin Tang (= 1×) peers Shuai Du

Countries citing papers authored by Xiaolin Tang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolin Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Tang. A scholar is included among the top collaborators of Xiaolin 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 Xiaolin Tang. Xiaolin Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yang, Yalian, et al.. (2025). Aging-aware real-time multi-layer co-optimization approach for hybrid vehicles: across configuration, parameters, and control. Energy Conversion and Management. 332. 119748–119748. 2 indexed citations

Zhang, Cheng, Jin Wang, Ting Yan, et al.. (2023). An instance-based deep transfer learning method for quality identification of Longjing tea from multiple geographical origins. Complex & Intelligent Systems. 9(3). 3409–3428. 17 indexed citations

Yang, Jingru, Jin Wang, Guodong Lu, et al.. (2021). TeaNet: Deep learning on Near-Infrared Spectroscopy (NIR) data for the assurance of tea quality. Computers and Electronics in Agriculture. 190. 106431–106431. 61 indexed citations

Qi, Chongchong, et al.. (2019). Towards Intelligent Mining for Backfill: A genetic programming-based method for strength forecasting of cemented paste backfill. Minerals Engineering. 133. 69–79. 90 indexed citations

Ren, Guangxin, et al.. (2019). Applicability of multifunctional preprocessing device for simultaneous estimation of spreading of green tea, withering of black tea and shaking of oolong tea. Journal of the Science of Food and Agriculture. 100(2). 560–569. 23 indexed citations

Qi, Chongchong & Xiaolin Tang. (2018). Slope stability prediction using integrated metaheuristic and machine learning approaches: A comparative study. Computers & Industrial Engineering. 118. 112–122. 204 indexed citations

Qi, Chongchong, Andy Fourie, Guowei Ma, & Xiaolin Tang. (2018). A hybrid method for improved stability prediction in construction projects: A case study of stope hangingwall stability. Applied Soft Computing. 71. 649–658. 44 indexed citations

Qi, Chongchong, Qiusong Chen, Andy Fourie, et al.. (2018). Constitutive modelling of cemented paste backfill: A data-mining approach. Construction and Building Materials. 197. 262–270. 74 indexed citations

Chen, Ai‐Zheng, et al.. (2015). Preparation of poly(L-lactic acid) nanofiber scaffolds with a rough surface by phase inversion using supercritical carbon dioxide. Biomedical Materials. 10(3). 35015–35015. 11 indexed citations

10.

Chen, Yiyong, et al.. (2015). Studies of Free Radical Polymerization Initiated by Visible Light Photoredox Catalysis. Macromolecular Chemistry and Physics. 216(10). 1055–1060. 14 indexed citations

11.

Tang, Xiaolin, Liqun Shi, D.J. O’Connor, & B.V. King. (2013). Structure and deuterium retention properties of tungsten layers deposited by plasma sputtering in a mixed atmosphere of D2 and He. Journal of Nuclear Materials. 446(1-3). 200–207. 11 indexed citations

12.

Liu, Yi, et al.. (2012). Polyoxometalate cured epoxy resins with photochromic properties. Colloid & Polymer Science. 290(16). 1683–1693. 8 indexed citations

13.

Zhang, Yan, Jiashi Li, Meidong Lang, et al.. (2010). Folate-functionalized nanoparticles for controlled 5-Fluorouracil delivery. Journal of Colloid and Interface Science. 354(1). 202–209. 67 indexed citations

14.

Zhan, Guozhu, Xiaolin Tang, Yingfeng Yu, & Shanjun Li. (2010). Biobased cyanate ester composites with epoxidized soybean oil and in situ generated nano‐silica. Polymer Engineering and Science. 51(3). 426–433. 12 indexed citations

15.

Zhan, Guozhu, Sheng Hu, Yingfeng Yu, Shanjun Li, & Xiaolin Tang. (2009). The study on poly(ether sulfone) modified cyanate ester resin and epoxy resin cocuring blends. Journal of Applied Polymer Science. 113(1). 60–70. 14 indexed citations

16.

Zhan, Guozhu, Lin Zhao, Sheng Hu, et al.. (2008). A novel biobased resin‐epoxidized soybean oil modified cyanate ester. Polymer Engineering and Science. 48(7). 1322–1328. 33 indexed citations

17.

Zhan, Guozhu, et al.. (2005). Further study of the viscoelastic phase separation of cyanate ester modified with poly(ether imide). Journal of Polymer Science Part B Polymer Physics. 44(3). 517–523. 12 indexed citations

18.

Gan, Wenjun, et al.. (2004). Viscoelastic effects on the phase separation in thermoplastics modified cyanate ester resin. Polymer. 45(10). 3505–3510. 46 indexed citations

19.

Wang, Minghai, Wenjun Gan, Yingfeng Yu, et al.. (2003). Studies on the Phase Separation of Poly(Ether Imide)‐Modified Cyanate Ester Resin. Journal of Macromolecular Science Part A. 40(11). 1199–1211. 10 indexed citations

20.

Jin, Jianyong, Jun Cui, Xiaolin Tang, et al.. (1999). On polyetherimide modified bismaleimide resins, 1. Effect of the chemical backbone of polyetherimide. Macromolecular Chemistry and Physics. 200(8). 1956–1960. 39 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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