Xiaojing Sheng

1.5k total citations
46 papers, 1.1k citations indexed

About

Xiaojing Sheng is a scholar working on Sociology and Political Science, Marketing and Information Systems and Management. According to data from OpenAlex, Xiaojing Sheng has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 13 papers in Marketing and 11 papers in Information Systems and Management. Recurrent topics in Xiaojing Sheng's work include Digital Marketing and Social Media (11 papers), Technology Adoption and User Behaviour (11 papers) and Customer Service Quality and Loyalty (7 papers). Xiaojing Sheng is often cited by papers focused on Digital Marketing and Social Media (11 papers), Technology Adoption and User Behaviour (11 papers) and Customer Service Quality and Loyalty (7 papers). Xiaojing Sheng collaborates with scholars based in United States, China and South Korea. Xiaojing Sheng's co-authors include Pratibha A. Dabholkar, Penny M. Simpson, Judy A. Siguaw, Aimin Shi, Qiang Wang, Meilin Wang, Na Tong, Li Liu, Hongzhi Liu and Mohammadali Zolfagharian and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Xiaojing Sheng

45 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojing Sheng United States 19 303 248 209 188 165 46 1.1k
Rui Huang China 23 154 0.5× 141 0.6× 335 1.6× 138 0.7× 72 0.4× 76 1.6k
Mohd Adil India 23 537 1.8× 784 3.2× 261 1.2× 242 1.3× 258 1.6× 85 2.2k
Mi‐Ran Kim South Korea 21 257 0.8× 271 1.1× 443 2.1× 357 1.9× 43 0.3× 103 1.6k
John A. Dawson United Kingdom 25 258 0.9× 608 2.5× 155 0.7× 278 1.5× 64 0.4× 103 2.1k
Hongzhi Gao China 25 203 0.7× 195 0.8× 406 1.9× 153 0.8× 57 0.3× 107 1.8k
Bei Lyu China 17 264 0.9× 148 0.6× 169 0.8× 227 1.2× 121 0.7× 86 1.1k
Hans Jørn Juhl Denmark 23 236 0.8× 909 3.7× 53 0.3× 338 1.8× 65 0.4× 53 2.0k
Xiaobei Li China 26 173 0.6× 71 0.3× 675 3.2× 673 3.6× 34 0.2× 92 2.7k
Jeongmi Kim South Korea 17 537 1.8× 283 1.1× 278 1.3× 80 0.4× 70 0.4× 36 1.8k
Jang Bahadur Singh India 21 305 1.0× 170 0.7× 80 0.4× 302 1.6× 609 3.7× 100 1.9k

Countries citing papers authored by Xiaojing Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojing Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Sheng. A scholar is included among the top collaborators of Xiaojing Sheng 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 Xiaojing Sheng. Xiaojing Sheng 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.
Minor, Michael S., et al.. (2025). Psychophysiological impacts of multisensory imagery: insights from EEG and animal model. Journal of Consumer Marketing.
2.
3.
Sheng, Xiaojing, Kun Lan, Xiaoliang Jiang, & Jie Yang. (2023). Adaptive Curriculum Sequencing and Education Management System via Group-Theoretic Particle Swarm Optimization. Systems. 11(1). 34–34. 12 indexed citations
4.
Kim, Sora, Xiaojing Sheng, & Seth Ketron. (2022). The Roles of Legacy Versus Social Media Information Seeking in American and Chinese Consumers’ Hoarding During COVID-19. Journal of International Marketing. 30(2). 38–55. 5 indexed citations
5.
Felix, Reto, et al.. (2022). How political identity and attitudinal spillover matter for consumption of place: Evidence from winter migrants in the United States. Journal of Consumer Behaviour. 21(5). 1075–1091. 8 indexed citations
6.
Zhang, Jiguang, Xiaojing Sheng, Fang Song, et al.. (2022). Occurrence and risk exposure assessment of multiple pesticide residues in edible mint in China. Journal of Food Composition and Analysis. 116. 105071–105071. 11 indexed citations
7.
Sheng, Xiaojing, et al.. (2021). Identifying consumer segments based on COVID‐19 pandemic perceptions and responses. Journal of Consumer Affairs. 56(1). 34–67. 18 indexed citations
8.
Liu, Pingxiang, Rui Weng, Xiaojing Sheng, et al.. (2019). Profiling of organosulfur compounds and amino acids in garlic from different regions of China. Food Chemistry. 305. 125499–125499. 54 indexed citations
9.
Siguaw, Judy A., Xiaojing Sheng, & Penny M. Simpson. (2017). Biopsychosocial and Retirement Factors Influencing Satisfaction With Life: New Perspectives. The International Journal of Aging and Human Development. 85(4). 332–353. 15 indexed citations
10.
Sheng, Xiaojing, Penny M. Simpson, & Judy A. Siguaw. (2016). Communities as Nested Servicescapes. Journal of Service Research. 20(2). 171–187. 16 indexed citations
11.
Shi, Yongyong, Mulong Du, Yongjun Fang, et al.. (2016). Identification of a novel susceptibility locus at 16q23.1 associated with childhood acute lymphoblastic leukemia in Han Chinese. Human Molecular Genetics. 25(13). ddw112–ddw112. 8 indexed citations
12.
Sheng, Xiaojing & Penny M. Simpson. (2015). Health Care Information Seeking and Seniors: Determinants of Internet Use. Health Marketing Quarterly. 32(1). 96–112. 31 indexed citations
13.
Tong, Na, Haiyan Chu, Meilin Wang, et al.. (2015). Pri-miR-34b/c rs4938723 polymorphism contributes to acute lymphoblastic leukemia susceptibility in Chinese children. Leukemia & lymphoma. 57(6). 1436–1441. 32 indexed citations
14.
Sheng, Xiaojing & Penny M. Simpson. (2013). Seniors, Health Information, and the Internet: Motivation, Ability, and Internet Knowledge. Cyberpsychology Behavior and Social Networking. 16(10). 740–746. 54 indexed citations
15.
Sheng, Xiaojing, et al.. (2012). The CCP Scale: Measuring Customer Co-Production of Services. Services Marketing Quarterly. 33(3). 211–229. 7 indexed citations
16.
Dabholkar, Pratibha A. & Xiaojing Sheng. (2012). Consumer participation and the trust transference process in using online recommendation agents. ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley). 3 indexed citations
17.
Sheng, Xiaojing, Limei Zhang, Na Tong, et al.. (2012). A common variant nearTERCand telomere length are associated with susceptibility to childhood acute lymphoblastic leukemia in Chinese. Leukemia & lymphoma. 53(9). 1688–1692. 8 indexed citations
18.
Sheng, Xiaojing, Na Tong, Guoquan Tao, et al.. (2012). TERT polymorphisms modify the risk of acute lymphoblastic leukemia in Chinese children. Carcinogenesis. 34(1). 228–235. 39 indexed citations
19.
Sheng, Xiaojing, Limei Zhang, Na Tong, et al.. (2012). MDR1 C3435T polymorphism and cancer risk: a meta-analysis based on 39 case–control studies. Molecular Biology Reports. 39(7). 7237–7249. 42 indexed citations
20.
Xue, Yao, Meilin Wang, Dongyan Zhong, et al.. (2012). ADH1C Ile350Val Polymorphism and Cancer Risk: Evidence from 35 Case–Control Studies. PLoS ONE. 7(5). e37227–e37227. 16 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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