Hee‐Dong Yang

1.5k total citations
46 papers, 1.1k citations indexed

About

Hee‐Dong Yang is a scholar working on Information Systems and Management, Information Systems and Communication. According to data from OpenAlex, Hee‐Dong Yang has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems and Management, 12 papers in Information Systems and 10 papers in Communication. Recurrent topics in Hee‐Dong Yang's work include Technology Adoption and User Behaviour (13 papers), Knowledge Management and Sharing (10 papers) and Digital Marketing and Social Media (6 papers). Hee‐Dong Yang is often cited by papers focused on Technology Adoption and User Behaviour (13 papers), Knowledge Management and Sharing (10 papers) and Digital Marketing and Social Media (6 papers). Hee‐Dong Yang collaborates with scholars based in South Korea, United States and United Kingdom. Hee‐Dong Yang's co-authors include Youngjin Yoo, Jong‐Hun Park, Kalle Lyytinen, Sora Kang, Chris Rowley, JoongHo Ahn, Min Soo Kim, Hyunmi Baek, Kai H. Lim and In Young Choi and has published in prestigious journals such as PLoS Pathogens, Information & Management and Information Systems Research.

In The Last Decade

Hee‐Dong Yang

32 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hee‐Dong Yang South Korea	12	504	415	224	218	157	46	1.1k
Kim South Korea	5	613 1.2×	519 1.3×	184 0.8×	139 0.6×	143 0.9×	8	1.1k
Rivard Canada	4	455 0.9×	457 1.1×	388 1.7×	222 1.0×	203 1.3×	6	1.2k
Pratyush Bharati United States	14	456 0.9×	370 0.9×	219 1.0×	263 1.2×	230 1.5×	45	1.1k
John Benamati United States	16	455 0.9×	359 0.9×	246 1.1×	139 0.6×	107 0.7×	42	916
Khaled A. Alshare United States	19	551 1.1×	310 0.7×	197 0.9×	134 0.6×	165 1.1×	52	1.2k
Kee-Young Kwahk South Korea	14	459 0.9×	401 1.0×	293 1.3×	204 0.9×	294 1.9×	56	1.2k
Rupak Rauniar United States	11	468 0.9×	526 1.3×	226 1.0×	323 1.5×	168 1.1×	25	1.2k
Ryad Titah Canada	13	498 1.0×	456 1.1×	131 0.6×	116 0.5×	181 1.2×	22	1.1k
Kailash Joshi United States	18	487 1.0×	373 0.9×	303 1.4×	293 1.3×	192 1.2×	63	1.4k
Greg Rawski United States	10	451 0.9×	521 1.3×	218 1.0×	325 1.5×	167 1.1×	16	1.1k

Countries citing papers authored by Hee‐Dong Yang

Since Specialization

Citations

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

Fields of papers citing papers by Hee‐Dong Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hee‐Dong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hee‐Dong Yang. A scholar is included among the top collaborators of Hee‐Dong 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 Hee‐Dong Yang. Hee‐Dong 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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20 of 20 papers shown

Kim, Eun-Ha, Ho Bin Jang, Se‐Mi Kim, et al.. (2025). Age-associated immune dysregulation and B cell dysfunction drive severe outcomes in SFTSV infection. PLoS Pathogens. 21(8). e1013402–e1013402.

Park, Dongbin, Se‐Mi Kim, Ho Bin Jang, et al.. (2024). Differential beta‐coronavirus infection dynamics in human bronchial epithelial organoids. Journal of Medical Virology. 96(4). e29600–e29600. 5 indexed citations

Yang, Hee‐Dong, et al.. (2020). A Case Study on the Application of Blockchain Technology for the InsurTech : Development of Livestock Insurance Product. Journal of the Korea society of IT services. 19(4). 125–138. 1 indexed citations

Baek, Hyunmi, et al.. (2014). Chronological analysis of the electronic word-of-mouth effect of four social media channels on movie sales: Comparing Twitter, Yahoo!Movies, YouTube, and blogs. Journal of the Association for Information Systems. 65. 2 indexed citations

Yang, Hee‐Dong, Sora Kang, Wonseok Oh, & Min Kim. (2013). Are All Fits Created Equal? A Nonlinear Perspective on Task-Technology Fit. Journal of the Association for Information Systems. 14(12). 694–721. 24 indexed citations

Yang, Hee‐Dong, Myungjin Kim, & Sora Kang. (2010). The Effect of PL Leadership and Characteristics of Project on Project Participants' Satisfaction and Performance. Asia Pacific Journal of Information Systems. 20(4). 53–79.

Yang, Hee‐Dong, et al.. (2008). An Empirical Study on Moderating Effects of Espoused National Cultural Values on Internet Community Stickiness. 15(3). 169–194. 2 indexed citations

Kang, Sora, Jong‐Hun Park, & Hee‐Dong Yang. (2008). ERP Alignment for Positive Business Performance: Evidence from Korea's ERP Market. Journal of Computer Information Systems. 48(4). 25–38. 46 indexed citations

Kang, Sora, et al.. (2007). How Different Governance Structures Influence Emarketplaces and Purchasing Performance over Time. International Journal of Business. 15(2). 99. 4 indexed citations

10.

Ahn, JoongHo, et al.. (2007). Mobile IS Success in Mandatory Usage Context : The Role of Compatibility with Work. Journal of the Korean Operations Research and Management Science Society. 32(2). 71–88. 2 indexed citations

11.

Yang, Hee‐Dong, et al.. (2006). 업무-기술적합(TTF) 영향에 대한 다차항 회귀분석과 반응표면 방법론적 접근: 그룹지원시스템(GSS)의 경우. Asia Pacific Journal of Information Systems. 16(2). 47–67. 2 indexed citations

12.

Shin, Ji Young & Hee‐Dong Yang. (2006). The Effects of Perceived Privacy Infringement and the Moderators on On-line Community Activities in BLOG. korean management review. 35(1). 81–108. 3 indexed citations

13.

Yang, Hee‐Dong, et al.. (2006). The visual characteristics of avatars in computer-mediated communication: Comparison of Internet Relay Chat and Instant Messenger as of 2003. International Journal of Human-Computer Studies. 64(12). 1173–1183. 51 indexed citations

14.

Seo, Hyun‐Ju, et al.. (2005). Individual Absorptive Capacity and thePerformance of Using ERP:Knowledge Transfer Perspective. korean management review. 34(3). 651–681. 6 indexed citations

15.

Park, Chul-Woo, Hee‐Dong Yang, & JoongHo Ahn. (2004). Connectivity and Mobility. 355–377.

16.

Yang, Hee‐Dong, et al.. (2004). The Effect of Anonymity on the Usage of Avatar: Comparison of Internet Relay Chat and Instant Messenger. Journal of the Association for Information Systems. 327. 6 indexed citations

17.

Yang, Hee‐Dong & Robert M. Mason. (2002). The Internet, value chain visibility and learning. 6. 23–32.

18.

Yang, Hee‐Dong & In Young Choi. (2001). Revisiting Technology Acceptance Model with Social Influence Factors. Journal of the Association for Information Systems. 35. 14 indexed citations

19.

Yang, Hee‐Dong. (2000). Transaction visibility and information technology : when does changing transaction visibility make sense and when is it more likely to occur?. UMI eBooks.

20.

Yang, Hee‐Dong. (2000). ATTITUDE IS AN ANTECEDENT TO INFORMATION SYSTEMS USE. 5(1). 159–192. 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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