Heetae Yang

1.8k total citations · 2 hit papers
17 papers, 1.3k citations indexed

About

Heetae Yang is a scholar working on Sociology and Political Science, Information Systems and Management and Marketing. According to data from OpenAlex, Heetae Yang has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 9 papers in Information Systems and Management and 7 papers in Marketing. Recurrent topics in Heetae Yang's work include Technology Adoption and User Behaviour (9 papers), Digital Marketing and Social Media (9 papers) and Consumer Retail Behavior Studies (7 papers). Heetae Yang is often cited by papers focused on Technology Adoption and User Behaviour (9 papers), Digital Marketing and Social Media (9 papers) and Consumer Retail Behavior Studies (7 papers). Heetae Yang collaborates with scholars based in South Korea. Heetae Yang's co-authors include Hwansoo Lee, Hangjung Zo, Munkee Choi, Jieun Yu, Seonghyuk Ko, Woosuk Lee and Yechan Kim and has published in prestigious journals such as Industrial Management & Data Systems, Current Issues in Tourism and Technology in Society.

In The Last Decade

Heetae Yang

14 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

User acceptance of wearable devices: An extended perspective of perceived value

2015 475 citations Heetae Yang, Jieun Yu et al. Telematics and Informatics profile →
User acceptance of smart home services: an extension of the theory of planned behavior

2017 231 citations Heetae Yang, Hwansoo Lee et al. Industrial Management & Data Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heetae Yang South Korea	9	627	623	413	294	125	17	1.3k
Ramiro Gonçalves Portugal	17	358 0.6×	555 0.9×	366 0.9×	168 0.6×	147 1.2×	114	1.6k
Henner Gimpel Germany	20	223 0.4×	603 1.0×	416 1.0×	298 1.0×	75 0.6×	109	1.9k
Sang-Gun Lee South Korea	17	430 0.7×	475 0.8×	257 0.6×	101 0.3×	101 0.8×	56	1.5k
Qingfei Min China	18	638 1.0×	858 1.4×	281 0.7×	152 0.5×	45 0.4×	58	1.7k
Frederico Branco Portugal	16	304 0.5×	491 0.8×	344 0.8×	94 0.3×	114 0.9×	70	1.3k
Suresh Malodia India	14	249 0.4×	473 0.8×	370 0.9×	222 0.8×	223 1.8×	25	1.3k
Suree Funilkul Thailand	19	370 0.6×	285 0.5×	184 0.4×	253 0.9×	72 0.6×	49	1.1k
Stephanie Hui‐Wen Chuah Malaysia	23	749 1.2×	1.2k 2.0×	1.0k 2.5×	379 1.3×	151 1.2×	43	2.3k
Nina Krey United States	15	649 1.0×	823 1.3×	883 2.1×	134 0.5×	190 1.5×	33	2.0k
Jingjun Xu Hong Kong	18	819 1.3×	983 1.6×	535 1.3×	178 0.6×	56 0.4×	53	1.6k

Countries citing papers authored by Heetae Yang

Since Specialization

Citations

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

Fields of papers citing papers by Heetae Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heetae Yang

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

All Works

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17 of 17 papers shown

Yang, Heetae. (2024). The utility of remote work solutions in the post-pandemic era: Exploring the mediating effects of productivity and work flexibility. Technology in Society. 78. 102613–102613. 2 indexed citations

Yang, Heetae, et al.. (2024). Understanding user perceptions toward marketing in the metaverse. Kybernetes. 54(5). 2971–2999. 5 indexed citations

Yang, Heetae & Hwansoo Lee. (2023). Smart city and remote services: The case of South Korea’s national pilot smart cities. Telematics and Informatics. 79. 101957–101957. 16 indexed citations

Yang, Heetae & Hwansoo Lee. (2023). Users' continuance intention toward augmented reality from the flow theory perspective. International Journal of Mobile Communications. 21(3). 385–385. 4 indexed citations

Yang, Heetae, et al.. (2022). A Study on the Intention to use Personal Mobility Services : Focused on the SOR(Stimulus-Organism-Response) Model. 24(2). 67–88.

Yang, Heetae & Hwansoo Lee. (2022). How does the perceived physical risk of COVID-19 affect sharing economy services?. Current Issues in Tourism. 25(7). 1046–1062. 24 indexed citations

Kim, Yechan, et al.. (2021). A Study on User Preference for Smart City Non-face-to-face Services : Focusing on the Cases of Sejong City and Busan City. 23(4). 87–102. 1 indexed citations

Yang, Heetae, et al.. (2020). Understanding virtual reality continuance: an extended perspective of perceived value. Online Information Review. 45(2). 422–439. 47 indexed citations

Yang, Heetae. (2019). Policy Instruments for Activating VR-Based Virtual Sports Industry in Republic of Korea. The Journal of Korean Institute of Communications and Information Sciences. 44(11). 2178–2184. 1 indexed citations

10.

Yang, Heetae, et al.. (2018). Understanding adoption of intelligent personal assistants. Industrial Management & Data Systems. 118(3). 618–636. 203 indexed citations

11.

Yang, Heetae & Hwansoo Lee. (2018). Understanding user behavior of virtual personal assistant devices. Information Systems and e-Business Management. 17(1). 65–87. 128 indexed citations

12.

Yang, Heetae, et al.. (2018). IoT Smart Home Adoption: The Importance of Proper Level Automation. Journal of Sensors. 2018. 1–11. 118 indexed citations

13.

Yang, Heetae, Hwansoo Lee, & Hangjung Zo. (2017). User acceptance of smart home services: an extension of the theory of planned behavior. Industrial Management & Data Systems. 117(1). 68–89. 231 indexed citations breakdown →

14.

Yang, Heetae & Hwansoo Lee. (2017). Exploring user acceptance of streaming media devices: an extended perspective of flow theory. Information Systems and e-Business Management. 16(1). 1–27. 73 indexed citations

15.

Yang, Heetae, Jieun Yu, Hangjung Zo, & Munkee Choi. (2015). User acceptance of wearable devices: An extended perspective of perceived value. Telematics and Informatics. 33(2). 256–269. 475 indexed citations breakdown →

16.

Yang, Heetae, et al.. (2014). Evaluation of the Antibacterial and Physical Properties of Paper Coated with Chitosan-Ag Nanocomposite Prepared by Green Synthesis. Journal of Korea Technical Association of The Pulp and Paper Industry. 46(4). 28–36.

17.

Yang, Heetae, et al.. (2013). Effectiveness of User Involvement for New Service Development : Focusing on Domestic Digital Content Industry. The Journal of the Korea Contents Association. 13(5). 493–505. 1 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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