Guihua Cui

4.1k total citations · 1 hit paper
92 papers, 2.9k citations indexed

About

Guihua Cui is a scholar working on Atomic and Molecular Physics, and Optics, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Guihua Cui has authored 92 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Atomic and Molecular Physics, and Optics, 51 papers in Social Psychology and 22 papers in Cognitive Neuroscience. Recurrent topics in Guihua Cui's work include Color Science and Applications (65 papers), Color perception and design (49 papers) and Visual perception and processing mechanisms (22 papers). Guihua Cui is often cited by papers focused on Color Science and Applications (65 papers), Color perception and design (49 papers) and Visual perception and processing mechanisms (22 papers). Guihua Cui collaborates with scholars based in China, United Kingdom and Spain. Guihua Cui's co-authors include Ming Ronnier Luo, B. Rigg, Changjun Li, Manuel Melgosa, Pedro Antonio García López, Rafael Huertas, Ming Ronnier Luo, Haoxue Liu, Ming Ronnier Luo and Min Huang and has published in prestigious journals such as Journal of Virology, Optics Express and IEEE Access.

In The Last Decade

Guihua Cui

85 papers receiving 2.7k citations

Hit Papers

The development of the CIE 2000 colour‐difference formula... 2001 2026 2009 2017 2001 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guihua Cui China 19 1.8k 1.1k 820 685 400 92 2.9k
B. Rigg United Kingdom 15 1.5k 0.9× 959 0.8× 610 0.7× 539 0.8× 395 1.0× 58 2.6k
Stephen Westland United Kingdom 28 846 0.5× 723 0.6× 412 0.5× 363 0.5× 703 1.8× 180 2.6k
Ming Ronnier Luo United Kingdom 36 3.8k 2.2× 3.3k 2.9× 1.7k 2.1× 1.6k 2.4× 407 1.0× 234 6.1k
Roy S. Berns United States 33 2.8k 1.6× 1.2k 1.1× 1.4k 1.8× 619 0.9× 69 0.2× 183 3.8k
Michael Pointer United Kingdom 23 1.6k 0.9× 1.1k 1.0× 526 0.6× 750 1.1× 50 0.1× 147 2.7k
Rolf G. Kuehni United States 19 578 0.3× 569 0.5× 146 0.2× 428 0.6× 259 0.6× 93 1.4k
Edul N. Dalal United States 8 522 0.3× 175 0.2× 626 0.8× 95 0.1× 305 0.8× 21 1.6k
Wencheng Wu United States 9 495 0.3× 170 0.1× 716 0.9× 103 0.2× 304 0.8× 36 1.7k
Mark D. Fairchild United States 31 2.8k 1.6× 1.4k 1.2× 2.4k 2.9× 1.3k 1.9× 33 0.1× 247 4.6k
Changjun Li China 18 1.1k 0.6× 620 0.5× 615 0.8× 423 0.6× 28 0.1× 129 1.6k

Countries citing papers authored by Guihua Cui

Since Specialization
Citations

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

Fields of papers citing papers by Guihua Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guihua Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Guihua Cui. A scholar is included among the top collaborators of Guihua 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 Guihua Cui. Guihua 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.
Cui, Guihua, et al.. (2025). Applications and development trends of textile materials in sports: A review. Alexandria Engineering Journal. 126. 491–506. 2 indexed citations
2.
Zhou, Defang, Menglu Xu, Qingjie Liu, et al.. (2025). Plus-strand RNA viruses hijack Musashi homolog 1 to shield viral RNA from cytoplasmic ribonuclease degradation. Journal of Virology. 99(3). e0002325–e0002325.
3.
Cui, Guihua, Na Li, Alan T. K. Wan, & Xinyu Zhang. (2024). Model Averaging for Estimating Treatment Effects With Binary Responses. Applied Stochastic Models in Business and Industry. 41(3). 1 indexed citations
5.
Huang, Danfei, Yong Zhang, Libin Zhu, et al.. (2024). Hyperspectral imaging combined with blood oxygen saturation for in vivo analysis of small intestinal necrosis tissue. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 315. 124298–124298. 5 indexed citations
6.
Chen, Xiaojing, Libin Zhu, Xiaohong Chen, et al.. (2023). Discrimination between normal and necrotic small intestinal tissue using hyperspectral imaging and unsupervised classification. Journal of Biophotonics. 16(7). e202300020–e202300020. 8 indexed citations
7.
Luo, Ming Ronnier, Michael Pointer, Manuel Melgosa, et al.. (2023). A comprehensive test of colour‐difference formulae and uniform colour spaces using available visual datasets. Color Research & Application. 48(3). 267–282. 14 indexed citations
9.
Zhao, Zheng, Guihua Cui, Donghui Li, & Qifan Chen. (2023). Video-based smoke detection by using motion, color, and texture features. 65–65. 1 indexed citations
10.
Chen, Xiaojing, et al.. (2022). Visible near-infrared hyperspectral imaging and supervised classification for the detection of small intestinal necrosis tissue in vivo. Biomedical Optics Express. 13(11). 6061–6061. 12 indexed citations
11.
Huang, Min, Haoxue Liu, Guihua Cui, Ming Ronnier Luo, & Manuel Melgosa. (2012). Evaluation of threshold color differences using printed samples. Journal of the Optical Society of America A. 29(6). 883–883. 38 indexed citations
12.
Melgosa, Manuel, Pedro Antonio García López, Luis Gómez‐Robledo, et al.. (2011). Notes on the application of the standardized residual sum of squares index for the assessment of intra- and inter-observer variability in color-difference experiments. Journal of the Optical Society of America A. 28(5). 949–949. 58 indexed citations
13.
Shamey, Renzo, D. G. Hinks, Manuel Melgosa, et al.. (2010). Evaluation of Performance of Twelve Color-Difference Formulae Using Two NCSU Experimental Datasets. Conference on Colour in Graphics Imaging and Vision. 5(1). 423–428. 7 indexed citations
14.
Choi, Seo‐Young, Ming Ronnier Luo, Michael Pointer, & Guihua Cui. (2008). Subjective Rules on the Perception and Modeling of Image Contrast. Color and Imaging Conference. 16(1). 309–314. 2 indexed citations
15.
Luo, Ming Ronnier, et al.. (2008). Evaluating Colour Differences for Images.. 12–15. 3 indexed citations
16.
López, Pedro Antonio García, Rafael Huertas, Manuel Melgosa, & Guihua Cui. (2007). Measurement of the relationship between perceived and computed color differences. Journal of the Optical Society of America A. 24(7). 1823–1823. 166 indexed citations
17.
Ou, Li‐Chen, Guihua Cui, Andrée Woodcock, et al.. (2005). The Effect of Culture on Colour Emotion and Preference. Chalmers Publication Library (Chalmers University of Technology). 3 indexed citations
18.
Cui, Guihua, et al.. (2004). Assessing colour differences with different magnitudes.
19.
Ji, Wei, et al.. (2004). A New Method for Assessing Gloss Based on Digital Imaging. Conference on Colour in Graphics Imaging and Vision. 2(1). 298–302. 2 indexed citations
20.
Zhu, Shunzhi, Ming Ronnier Luo, Guihua Cui, & B. Rigg. (2002). Comparing Different Colour Discrimination Data Sets. Color and Imaging Conference. 10(1). 51–54. 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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