Xiaoliang Cui

532 total citations
22 papers, 405 citations indexed

About

Xiaoliang Cui is a scholar working on Polymers and Plastics, Plant Science and Industrial and Manufacturing Engineering. According to data from OpenAlex, Xiaoliang Cui has authored 22 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Polymers and Plastics, 9 papers in Plant Science and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Xiaoliang Cui's work include Textile materials and evaluations (15 papers), Research in Cotton Cultivation (9 papers) and Industrial Vision Systems and Defect Detection (5 papers). Xiaoliang Cui is often cited by papers focused on Textile materials and evaluations (15 papers), Research in Cotton Cultivation (9 papers) and Industrial Vision Systems and Defect Detection (5 papers). Xiaoliang Cui collaborates with scholars based in United States, China and United Kingdom. Xiaoliang Cui's co-authors include James Rodgers, Sha Huang, Tian Hu, Wei Song, Xiaobing Fu, Bin Yao, Timothy A. Calamari, Chanel Fortier, Chris Delhom and Man Wu and has published in prestigious journals such as Carbohydrate Polymers, Bioactive Materials and Biofabrication.

In The Last Decade

Xiaoliang Cui

20 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoliang Cui United States 13 168 127 115 60 56 22 405
David D. McAlister United States 8 155 0.9× 80 0.6× 36 0.3× 18 0.3× 13 0.2× 16 295
Sanjoy Debnath India 14 257 1.5× 30 0.2× 59 0.5× 16 0.3× 43 0.8× 47 412
Mariana Paulino Australia 12 96 0.6× 45 0.4× 199 1.7× 25 0.4× 95 1.7× 17 477
T. Karthik India 12 204 1.2× 20 0.2× 76 0.7× 15 0.3× 47 0.8× 28 438
Ahmad Safwan Ismail Malaysia 11 285 1.7× 113 0.9× 35 0.3× 8 0.1× 48 0.9× 33 406
Assad Farooq Pakistan 9 146 0.9× 40 0.3× 25 0.2× 34 0.6× 16 0.3× 39 303
Mohammad Hossain United States 5 54 0.3× 56 0.4× 31 0.3× 17 0.3× 43 0.8× 13 293
R. J. Harwood United Kingdom 12 208 1.2× 33 0.3× 30 0.3× 58 1.0× 13 0.2× 35 371
Zixi Zhang China 9 69 0.4× 37 0.3× 222 1.9× 7 0.1× 61 1.1× 26 384
S. Rajesham India 8 89 0.5× 43 0.3× 120 1.0× 19 0.3× 14 0.3× 20 427

Countries citing papers authored by Xiaoliang Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoliang Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoliang Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoliang Cui. A scholar is included among the top collaborators of Xiaoliang Cui 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 Xiaoliang Cui. Xiaoliang Cui 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.
Zhu, Meng, Tian Hu, Wei Song, et al.. (2023). Guanidinylated/PEGylated chitosan in the bioink promotes the formation of multi-layered keratinocytes in a human skin equivalent. Carbohydrate Polymers. 314. 120964–120964. 9 indexed citations
3.
Cui, Xiaoliang, et al.. (2022). Fusing surveillance videos and three‐dimensional scene: A mixed reality system. Computer Animation and Virtual Worlds. 34(1). 7 indexed citations
4.
Hu, Tian, Xiaoliang Cui, Meng Zhu, et al.. (2020). 3D-printable supramolecular hydrogels with shear-thinning property: fabricating strength tunable bioink via dual crosslinking. Bioactive Materials. 5(4). 808–818. 87 indexed citations
5.
Yao, Bin, Tian Hu, Xiaoliang Cui, et al.. (2019). Enzymatically degradable alginate/gelatin bioink promotes cellular behavior and degradation in vitro and in vivo. Biofabrication. 11(4). 45020–45020. 60 indexed citations
6.
Rodgers, James, Chanel Fortier, Chris Delhom, & Xiaoliang Cui. (2015). Laboratory Ginning and Blending Impacts on Cotton Fiber Micronaire Measurements. AATCC Journal of Research. 2(4). 1–7. 2 indexed citations
7.
Kim, Hee Jin, James Rodgers, Chris Delhom, & Xiaoliang Cui. (2014). Comparisons of methods measuring fiber maturity and fineness of Upland cotton fibers containing different degrees of fiber cell wall development. Textile Research Journal. 84(15). 1622–1633. 15 indexed citations
8.
Naylor, Geoffrey RS, et al.. (2014). Understanding the influence of fiber length on the High Volume Instrument™ measurement of cotton fiber strength. Textile Research Journal. 84(9). 979–988. 17 indexed citations
9.
Rodgers, James, Geoffrey RS Naylor, Xiaoliang Cui, Chris Delhom, & Doug J. Hinchliffe. (2014). Cottonscope fiber maturity, fineness, and ribbon width measurements with different sample sizes. Textile Research Journal. 85(9). 897–911. 13 indexed citations
10.
Cui, Xiaoliang, et al.. (2013). An investigation into the intra-sample variation in the color of cotton using image analysis. Textile Research Journal. 84(2). 214–222. 11 indexed citations
11.
Cui, Xiaoliang, et al.. (2013). A comparative study of the effects of cotton fiber length parameters on modeling yarn properties. Textile Research Journal. 83(9). 961–970. 31 indexed citations
12.
Rodgers, James, Chris Delhom, Doug J. Hinchliffe, Hee Jin Kim, & Xiaoliang Cui. (2013). A rapid measurement for cotton breeders of maturity and fineness from developing and mature fibers. Textile Research Journal. 83(14). 1439–1451. 20 indexed citations
13.
Fortier, Chanel, James Rodgers, Michael Santiago Cintrón, Xiaoliang Cui, & Jonn A. Foulk. (2010). Identification of cotton and cotton trash components by Fourier transform near-infrared spectroscopy. Textile Research Journal. 81(3). 230–238. 40 indexed citations
14.
Rodgers, James, et al.. (2010). Near Infrared Measurement of Cotton Fiber Micronaire by Portable Near Infrared Instrumentation. Textile Research Journal. 80(15). 1503–1515. 19 indexed citations
15.
Cui, Xiaoliang, et al.. (2010). An investigation on different parameters used for characterizing short cotton fibers. Textile Research Journal. 81(3). 239–246. 12 indexed citations
16.
Rodgers, James, et al.. (2009). Feasibility of Traceable Color Standards for Cotton Color. 2 indexed citations
17.
Cui, Xiaoliang, et al.. (2003). Measuring the Short Fiber Content of Cotton. Textile Research Journal. 73(10). 891–895. 15 indexed citations
18.
Cui, Xiaoliang, et al.. (2003). Estimating Single Cotton Fiber Tensile Properties from the Load-Elongation Curves of Slack Bundles. Textile Research Journal. 73(12). 1066–1070. 3 indexed citations
19.
Cui, Xiaoliang, et al.. (1999). Tensile Behavior of Slack Fiber Bundles—Theory and Application to HVI Testing. Textile Research Journal. 69(7). 497–502. 7 indexed citations
20.
Cui, Xiaoliang, et al.. (1998). Theoretical and Practical Aspects of Fiber Length Comparisons of Various Cottons. Textile Research Journal. 68(7). 467–472. 12 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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