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Dong-Hee Shin

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Business and Management 56 694 638 4 4 243 14790

Dong-Hee Shin publications per year

The chart shows the history of publications by Dong-Hee Shin between 1985 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Dong-Hee Shin published across 41 years, from 1985 to 2025, averaging 15.7 papers a year. Output peaked at 61 publications in 2015. 79 of the 645 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1985 to 2025. Vertical axis: number of publications, 0 to 61. Peak 61 publications in 2015. 1985: 1 publication 1986: 0 publications 1987: 2 publications 1988: 0 publications 1989: 0 publications 1990: 1 publication 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 1 publication 1995: 0 publications 1996: 1 publication 1997: 0 publications 1998: 1 publication 1999: 2 publications 2000: 1 publication 2001: 5 publications 2002: 5 publications 2003: 2 publications 2004: 9 publications 2005: 8 publications 2006: 17 publications 2007: 13 publications 2008: 14 publications 2009: 13 publications 2010: 20 publications 2011: 36 publications 2012: 26 publications 2013: 32 publications 2014: 45 publications 2015: 61 publications 2016: 48 publications 2017: 59 publications 2018: 23 publications 2019: 25 publications 2020: 18 publications 2021: 29 publications 2022: 29 publications 2023: 19 publications 2024: 33 publications 2025: 46 publications
1985 2025

645 publications in total across all disciplines

View publications per year as a table
Dong-Hee Shin: publications per year, 1985 to 2025
Year Publications
1985 1
1986 0
1987 2
1988 0
1989 0
1990 1
1991 0
1992 0
1993 0
1994 1
1995 0
1996 1
1997 0
1998 1
1999 2
2000 1
2001 5
2002 5
2003 2
2004 9
2005 8
2006 17
2007 13
2008 14
2009 13
2010 20
2011 36
2012 26
2013 32
2014 45
2015 61
2016 48
2017 59
2018 23
2019 25
2020 18
2021 29
2022 29
2023 19
2024 33
2025 46
Total 645
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Dong-Hee Shin publication distribution in Business and Management in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Business and Management in 2026. The highlighted bar marks where Dong-Hee Shin sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 82 bars. Horizontal axis: publications, 35–39 to 436+. Vertical axis: number of scientists, 0 to 122. Most scientists, 122, have 95–99 publications. The last bar groups every scientist with 436 publications or more. The highlighted bar, 240–244 publications, is where this scientist sits. 35–39 publications: 2 scientists 40–44 publications: 2 scientists 45–49 publications: 5 scientists 50–54 publications: 20 scientists 55–59 publications: 39 scientists 60–64 publications: 66 scientists 65–69 publications: 52 scientists 70–74 publications: 80 scientists 75–79 publications: 83 scientists 80–84 publications: 116 scientists 85–89 publications: 94 scientists 90–94 publications: 111 scientists 95–99 publications: 122 scientists 100–104 publications: 104 scientists 105–109 publications: 113 scientists 110–114 publications: 96 scientists 115–119 publications: 97 scientists 120–124 publications: 112 scientists 125–129 publications: 93 scientists 130–134 publications: 79 scientists 135–139 publications: 69 scientists 140–144 publications: 80 scientists 145–149 publications: 81 scientists 150–154 publications: 85 scientists 155–159 publications: 50 scientists 160–164 publications: 74 scientists 165–169 publications: 61 scientists 170–174 publications: 40 scientists 175–179 publications: 44 scientists 180–184 publications: 47 scientists 185–189 publications: 59 scientists 190–194 publications: 35 scientists 195–199 publications: 37 scientists 200–204 publications: 49 scientists 205–209 publications: 48 scientists 210–214 publications: 34 scientists 215–219 publications: 31 scientists 220–224 publications: 37 scientists 225–229 publications: 34 scientists 230–234 publications: 25 scientists 235–239 publications: 28 scientists 240–244 publications: 34 scientists 245–249 publications: 28 scientists 250–254 publications: 23 scientists 255–259 publications: 22 scientists 260–264 publications: 11 scientists 265–269 publications: 16 scientists 270–274 publications: 23 scientists 275–279 publications: 12 scientists 280–284 publications: 16 scientists 285–289 publications: 10 scientists 290–294 publications: 12 scientists 295–299 publications: 12 scientists 300–304 publications: 8 scientists 305–309 publications: 13 scientists 310–314 publications: 13 scientists 315–319 publications: 6 scientists 320–324 publications: 10 scientists 325–329 publications: 9 scientists 330–334 publications: 7 scientists 335–339 publications: 10 scientists 340–344 publications: 10 scientists 345–349 publications: 7 scientists 350–354 publications: 4 scientists 355–359 publications: 10 scientists 360–364 publications: 3 scientists 365–369 publications: 7 scientists 370–374 publications: 2 scientists 375–379 publications: 8 scientists 380–384 publications: 4 scientists 385–389 publications: 5 scientists 390–394 publications: 5 scientists 395–399 publications: 2 scientists 400–404 publications: 2 scientists 405–409 publications: 4 scientists 410–414 publications: 3 scientists 415–419 publications: 2 scientists 420–424 publications: 5 scientists 425–429 publications: 3 scientists 430–434 publications: 1 scientist 435 publications: 1 scientist 436+ publications: 100 scientists
35–39 publications 436+

This scientist: 243 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 436 publications or more.

View publications distribution as a table
Number of Business and Management scientists by publication count, Research.com 2026 ranking edition. Based on 3,017 ranked scientists.
Publications Scientists This scientist
35–39 2
40–44 2
45–49 5
50–54 20
55–59 39
60–64 66
65–69 52
70–74 80
75–79 83
80–84 116
85–89 94
90–94 111
95–99 122
100–104 104
105–109 113
110–114 96
115–119 97
120–124 112
125–129 93
130–134 79
135–139 69
140–144 80
145–149 81
150–154 85
155–159 50
160–164 74
165–169 61
170–174 40
175–179 44
180–184 47
185–189 59
190–194 35
195–199 37
200–204 49
205–209 48
210–214 34
215–219 31
220–224 37
225–229 34
230–234 25
235–239 28
240–244 34 243
245–249 28
250–254 23
255–259 22
260–264 11
265–269 16
270–274 23
275–279 12
280–284 16
285–289 10
290–294 12
295–299 12
300–304 8
305–309 13
310–314 13
315–319 6
320–324 10
325–329 9
330–334 7
335–339 10
340–344 10
345–349 7
350–354 4
355–359 10
360–364 3
365–369 7
370–374 2
375–379 8
380–384 4
385–389 5
390–394 5
395–399 2
400–404 2
405–409 4
410–414 3
415–419 2
420–424 5
425–429 3
430–434 1
435 1
436+ 100
Download as CSV

Dong-Hee Shin D-index placement in Business and Management in 2026

The chart shows the D-index (discipline H-index) distribution of Business and Management scientists ranked by Research.com in 2026. The highlighted bar marks where Dong-Hee Shin sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 60 bars. Horizontal axis: D-Index, 30 to 89+. Vertical axis: number of scientists, 0 to 171. Most scientists, 171, have 32 D-Index. The last bar groups every scientist with 89 D-Index or more. The highlighted bar, 56 D-Index, is where this scientist sits. 30 D-Index: 156 scientists 31 D-Index: 159 scientists 32 D-Index: 171 scientists 33 D-Index: 161 scientists 34 D-Index: 135 scientists 35 D-Index: 124 scientists 36 D-Index: 114 scientists 37 D-Index: 111 scientists 38 D-Index: 103 scientists 39 D-Index: 89 scientists 40 D-Index: 81 scientists 41 D-Index: 97 scientists 42 D-Index: 80 scientists 43 D-Index: 69 scientists 44 D-Index: 68 scientists 45 D-Index: 63 scientists 46 D-Index: 54 scientists 47 D-Index: 69 scientists 48 D-Index: 50 scientists 49 D-Index: 58 scientists 50 D-Index: 54 scientists 51 D-Index: 62 scientists 52 D-Index: 54 scientists 53 D-Index: 43 scientists 54 D-Index: 49 scientists 55 D-Index: 35 scientists 56 D-Index: 40 scientists 57 D-Index: 44 scientists 58 D-Index: 34 scientists 59 D-Index: 29 scientists 60 D-Index: 48 scientists 61 D-Index: 32 scientists 62 D-Index: 30 scientists 63 D-Index: 22 scientists 64 D-Index: 22 scientists 65 D-Index: 19 scientists 66 D-Index: 20 scientists 67 D-Index: 18 scientists 68 D-Index: 17 scientists 69 D-Index: 21 scientists 70 D-Index: 20 scientists 71 D-Index: 19 scientists 72 D-Index: 14 scientists 73 D-Index: 10 scientists 74 D-Index: 16 scientists 75 D-Index: 24 scientists 76 D-Index: 13 scientists 77 D-Index: 19 scientists 78 D-Index: 8 scientists 79 D-Index: 6 scientists 80 D-Index: 4 scientists 81 D-Index: 12 scientists 82 D-Index: 7 scientists 83 D-Index: 7 scientists 84 D-Index: 6 scientists 85 D-Index: 10 scientists 86 D-Index: 4 scientists 87 D-Index: 11 scientists 88 D-Index: 6 scientists 89+ D-Index: 96 scientists
30 D-Index 89+

This scientist: 56 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 89 D-Index or more.

View D-Index distribution as a table
Number of Business and Management scientists by D-index, Research.com 2026 ranking edition. Based on 3,017 ranked scientists.
D-Index Scientists This scientist
30 156
31 159
32 171
33 161
34 135
35 124
36 114
37 111
38 103
39 89
40 81
41 97
42 80
43 69
44 68
45 63
46 54
47 69
48 50
49 58
50 54
51 62
52 54
53 43
54 49
55 35
56 40 56
57 44
58 34
59 29
60 48
61 32
62 30
63 22
64 22
65 19
66 20
67 18
68 17
69 21
70 20
71 19
72 14
73 10
74 16
75 24
76 13
77 19
78 8
79 6
80 4
81 12
82 7
83 7
84 6
85 10
86 4
87 11
88 6
89+ 96
Download as CSV

Overview

Dong-Hee Shin is affiliated with Zayed University in the United Arab Emirates and has a research profile spanning social sciences and computer science. Their work covers a diverse range of subjects including sociology, political science, safety research, information systems, artificial intelligence, and communication.

Their research topics include:

  • Ethics and Social Impacts of AI
  • Misinformation and Its Impacts
  • Privacy, Security, and Data Protection
  • Digital Marketing and Social Media
  • AI in Service Interactions
  • Blockchain Technology Applications and Security
  • Technology Adoption and User Behaviour

Several of Dong-Hee Shin's recent papers illustrate their focus on algorithmic systems, user experience, and technology impact studies:

  • The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI (2020), International Journal of Human-Computer Studies
  • User Perceptions of Algorithmic Decisions in the Personalized AI System: Perceptual Evaluation of Fairness, Accountability, Transparency, and Explainability (2020), Journal of Broadcasting & Electronic Media
  • The actualization of meta affordances: Conceptualizing affordance actualization in the metaverse games (2022), Computers in Human Behavior
  • Beyond user experience: What constitutes algorithmic experiences? (2020), International Journal of Information Management
  • Algorithm awareness: Why user awareness is critical for personal privacy in the adoption of algorithmic platforms? (2022), International Journal of Information Management

Frequent co-authors of Dong-Hee Shin include:

  • Joon Soo Lim
  • Azmat Rasul
  • Emily Y. Shin
  • Mohammed Ibahrine
  • Bouziane Zaid

The venues where Dong-Hee Shin often publishes research include:

  • Journal of the Korean Earth Science Society
  • Journal of Broadcasting & Electronic Media
  • AI & Society
  • SSRN Electronic Journal
  • Computer

Dong-Hee Shin's scholarly output reflects a multidisciplinary approach, integrating social sciences and computing disciplines to explore topics related to technology adoption, algorithmic transparency, and the social implications of artificial intelligence.

Best Publications

  • Towards an understanding of the consumer acceptance of mobile wallet

    Dong-Hee Shin

  • The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI

    Donghee Shin

  • An acceptance model for smart watches: Implications for the adoption of future wearable technology

    Ki Joon Kim;Dong-Hee Shin

  • Role of fairness, accountability, and transparency in algorithmic affordance

    Donghee Shin;Yong Jin Park

  • User experience in social commerce: in friends we trust

    Dong-Hee Shin

  • Analyzing China's Fintech Industry from the Perspective of Actor-Network Theory

    Yongwoon Shim;Dong-Hee Shin

  • Why do people play social network games

    Dong-Hee Shin;Youn-Joo Shin

  • Applying the Technology Acceptance Model and flow theory to Cyworld user behavior: implication of the Web2.0 user acceptance.

    Dong-Hee Shin;Won-Young Kim

  • Forecasting customer switching intention in mobile service: An exploratory study of predictive factors in mobile number portability

    Dong-Hee Shin;Won-Yong Kim

  • User Perceptions of Algorithmic Decisions in the Personalized AI System:Perceptual Evaluation of Fairness, Accountability, Transparency, and Explainability

    Donghee Shin

  • User acceptance of mobile Internet: Implication for convergence technologies

    Dong-Hee Shin

  • User experience in social commerce: in friends we trust

    Unknown

  • The psychology behind QR codes: User experience perspective

    Dong-Hee Shin;Jaemin Jung;Byeng-Hee Chang

  • Understanding trust and perceived usefulness in the consumer acceptance of an e-service: a longitudinal investigation

    Jian Mou;Dong-Hee Shin;Jason Cohen

  • Conceptualizing and measuring quality of experience of the internet of things: Exploring how quality is perceived by users

    Dong-Hee Shin

  • A socio-technical framework for Internet-of-Things design: A human-centered design for the Internet of Things

    Donghee Shin

  • Can Autonomous Vehicles Be Safe and Trustworthy? Effects of Appearance and Autonomy of Unmanned Driving Systems

    Jae-Gil Lee;Ki Joon Kim;Sangwon Lee;Dong-Hee Shin

  • Understanding purchasing behaviors in a virtual economy: Consumer behavior involving virtual currency in Web 2.0 communities

    Dong Hee Shin

  • Understanding e-book users: Uses and gratification expectancy model

    Dong-Hee Shin

  • User centric cloud service model in public sectors: Policy implications of cloud services ☆

    Dong-Hee Shin

  • An empirical investigation of a modified technology acceptance model of IPTV

    Dong Hee Shin

  • Determinants of customer acceptance of multi-service network: An implication for IP-based technologies

    Dong Hee Shin

  • Analysis of online social networks: a cross‐national study

    Dong‐Hee Shin

  • Trust and risk in consumer acceptance of e-services

    Jian Mou;Dong-Hee Shin;Jason F. Cohen

Frequent Co-Authors

Frank Biocca
Frank Biocca New Jersey Institute of Technology
Yujong Hwang
Yujong Hwang DePaul University
Thomas Hugh Feeley
Thomas Hugh Feeley University at Buffalo, State University of New York
Eunil Park
Eunil Park Sungkyunkwan University

External Links

Personal website of Dong-Hee Shin Google Scholar page

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