Sze Man Chong

861 total citations · 1 hit paper
7 papers, 550 citations indexed

About

Sze Man Chong is a scholar working on Marketing, Strategy and Management and Sociology and Political Science. According to data from OpenAlex, Sze Man Chong has authored 7 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Marketing, 2 papers in Strategy and Management and 2 papers in Sociology and Political Science. Recurrent topics in Sze Man Chong's work include Digital Marketing and Social Media (2 papers), Consumer Retail Behavior Studies (2 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). Sze Man Chong is often cited by papers focused on Digital Marketing and Social Media (2 papers), Consumer Retail Behavior Studies (2 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). Sze Man Chong collaborates with scholars based in Hong Kong, United States and Macao. Sze Man Chong's co-authors include Chung‐Wha Ki, Heejin Lim, Leslie Cuevas, Jung Ha‐Brookshire, Erin Cho, Chunsheng Li, Eugene Cheng‐Xi Aw, Christina W.Y. Wong and O-Ki Kwon and has published in prestigious journals such as Journal of Cleaner Production, Journal of Business Research and Journal of Retailing and Consumer Services.

In The Last Decade

Sze Man Chong

7 papers receiving 525 citations

Hit Papers

Influencer marketing: Soc... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sze Man Chong Hong Kong 6 387 297 101 68 67 7 550
Pamela E. Grimm United States 11 336 0.9× 329 1.1× 89 0.9× 46 0.7× 54 0.8× 18 551
Sojung Kim South Korea 10 228 0.6× 243 0.8× 88 0.9× 39 0.6× 29 0.4× 22 387
Nigel Hollis United States 6 376 1.0× 425 1.4× 121 1.2× 62 0.9× 22 0.3× 13 598
Kaleel Rahman Australia 12 270 0.7× 305 1.0× 50 0.5× 51 0.8× 23 0.3× 31 445
Maria Vernuccio Italy 11 370 1.0× 355 1.2× 73 0.7× 86 1.3× 16 0.2× 34 547
Siv Skard Norway 11 301 0.8× 400 1.3× 86 0.9× 119 1.8× 25 0.4× 17 603
Danilo C. Dantas Canada 8 206 0.5× 184 0.6× 41 0.4× 37 0.5× 21 0.3× 18 366
Sanjeev Varshney India 11 217 0.6× 187 0.6× 71 0.7× 20 0.3× 30 0.4× 26 352
Dean Wilkie Australia 10 347 0.9× 405 1.4× 79 0.8× 60 0.9× 23 0.3× 28 554
Todd J. Bacile United States 9 273 0.7× 203 0.7× 89 0.9× 26 0.4× 24 0.4× 13 407

Countries citing papers authored by Sze Man Chong

Since Specialization
Citations

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

Fields of papers citing papers by Sze Man Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sze Man Chong. 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 Sze Man Chong. The network helps show where Sze Man Chong may publish in the future.

Co-authorship network of co-authors of Sze Man Chong

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

All Works

7 of 7 papers shown
1.
Ki, Chung‐Wha, et al.. (2024). Metaverse consumer behavior: Investigating factors driving consumer participation in the transitory metaverse, avatar personalization, and digital fashion adoption. Journal of Retailing and Consumer Services. 82. 104094–104094. 10 indexed citations
2.
Chong, Sze Man, et al.. (2024). Does ChatGPT help or hinder education? Exploring its benefits, challenges, student guilt, and the need for educator training. International Journal of Fashion Design Technology and Education. 1–16. 1 indexed citations
3.
Ki, Chung‐Wha, et al.. (2024). Is livestream shopping conceptually New? a comparative literature review of livestream shopping and TV home shopping research. Journal of Business Research. 174. 114504–114504. 25 indexed citations
5.
Ki, Chung‐Wha, et al.. (2023). Assessing Chinese fashion organizations’ change readiness for the circular economy (FashionReady4CE): Development and validation of FashionReady4CE scales. Journal of Cleaner Production. 423. 138739–138739. 5 indexed citations
6.
Ki, Chung‐Wha, Sze Man Chong, & Jung Ha‐Brookshire. (2020). How fashion can achieve sustainable development through a circular economy and stakeholder engagement: A systematic literature review. Corporate Social Responsibility and Environmental Management. 27(6). 2401–2424. 77 indexed citations
7.
Ki, Chung‐Wha, Leslie Cuevas, Sze Man Chong, & Heejin Lim. (2020). Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs. Journal of Retailing and Consumer Services. 55. 102133–102133. 398 indexed citations breakdown →

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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