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Kim Hua Tan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Business and Management 60 554 517 81 71 252 12602

Kim Hua Tan publications per year

The chart shows the history of publications by Kim Hua Tan between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kim Hua Tan published across 26 years, from 2000 to 2025, averaging 11 papers a year. Output peaked at 29 publications in 2021. 20 of the 286 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2021. 2000: 1 publication 2001: 1 publication 2002: 1 publication 2003: 2 publications 2004: 12 publications 2005: 4 publications 2006: 7 publications 2007: 7 publications 2008: 3 publications 2009: 22 publications 2010: 4 publications 2011: 6 publications 2012: 6 publications 2013: 7 publications 2014: 11 publications 2015: 9 publications 2016: 13 publications 2017: 22 publications 2018: 18 publications 2019: 16 publications 2020: 16 publications 2021: 29 publications 2022: 27 publications 2023: 22 publications 2024: 11 publications 2025: 9 publications
2000 2025

286 publications in total across all disciplines

View publications per year as a table
Kim Hua Tan: publications per year, 2000 to 2025
Year Publications
2000 1
2001 1
2002 1
2003 2
2004 12
2005 4
2006 7
2007 7
2008 3
2009 22
2010 4
2011 6
2012 6
2013 7
2014 11
2015 9
2016 13
2017 22
2018 18
2019 16
2020 16
2021 29
2022 27
2023 22
2024 11
2025 9
Total 286
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Kim Hua Tan 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 Kim Hua Tan 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, 250–254 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: 252 publications — 87th percentile

87% 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
245–249 28
250–254 23 252
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

Kim Hua Tan 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 Kim Hua Tan 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, 60 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: 60 D-Index — 83rd percentile

83% 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
57 44
58 34
59 29
60 48 60
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

Kim Hua Tan is affiliated with the University of Nottingham in the United Kingdom, specializing primarily in the field of Business, Management and Accounting, with a strong focus on strategy, marketing, and management information systems.

Their research encompasses several subfields including:

  • Strategy and Management
  • Marketing
  • Sociology and Political Science
  • Management Information Systems
  • Economics and Econometrics

Key research topics covered in their work include:

  • Digital Marketing and Social Media
  • Sustainable Supply Chain Management
  • Environmental Sustainability in Business
  • Customer Service Quality and Loyalty
  • Service and Product Innovation
  • Supply Chain Resilience and Risk Management
  • Quality and Supply Management

Tan has authored multiple papers on topics at the intersection of technology, marketing, and supply chain management. Notable recent publications include:

  • "Technological innovation and structural change for economic development in China as an emerging market" (2021) published in Technological Forecasting and Social Change
  • "Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions" (2021) published in Industrial Management & Data Systems
  • "An intelligent payment card fraud detection system" (2021) published in Annals of Operations Research
  • "Investigating the impact of AI-powered technologies on Instagrammers' purchase decisions in digitalization era-A study of the fashion and apparel industry" (2022) published in Technological Forecasting and Social Change
  • "Predicting viewer gifting behavior in sports live streaming platforms: The impact of viewer perception and satisfaction" (2022) published in Journal of Business Research

The most frequent publication venues where Tan's work appears include:

  • Annals of Operations Research
  • Technological Forecasting and Social Change
  • International Journal of Production Economics
  • Industrial Management & Data Systems
  • International Journal of Logistics Research and Applications

Tan's collaboration network features frequent co-authors such as:

  • Ajay Kumar
  • Leanne Chung
  • Yuanzhu Zhan
  • Haoyu Liu
  • Ming-Lang Tseng

In addition to articles, Tan has contributed to academic books, including a publication titled Supply Chain Risk and Innovation Management in "The Next Normal" released in 2022 under the publisher Responsible innovation in industry.

Best Publications

  • Green as the new Lean: how to use Lean practices as a catalyst to greening your supply chain

    Christina Maria Dües;Kim Hua Tan;Ming Lim

  • Market demand, green product innovation, and firm performance: evidence from Vietnam motorcycle industry

    Ru-Jen Lin;Kim-Hua Tan;Yong Geng

  • Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph

    Kim Hua Tan;YuanZhu Zhan;Guojun Ji;Fei Ye

  • Loyalty toward online food delivery service: the role of e-service quality and food quality

    Dwi Suhartanto;Mohd Helmi Ali;Kim Hua Tan;Fauziyah Sjahroeddin

  • Knowledge management in sustainable supply chain management: Improving performance through an interpretive structural modelling approach

    Ming K. Lim;Ming Lang Tseng;Kim Hua Tan;Tat Dat Bui

  • Toward sustainability: using big data to explore the decisive attributes of supply chain risks and uncertainties

    Kuo-Jui Wu;Ching-Jong Liao;Ming-Lang Tseng;Ming K. Lim

  • Impact of fiscal decentralization on green total factor productivity

    Malin Song;Juntao Du;Kim Hua Tan

  • The effect of lean methods and tools on the environmental performance of manufacturing organisations

    Jose Arturo Garza-Reyes;Vikas Kumar;Sariya Chaikittisilp;Kim Hua Tan

  • A framework for food supply chain digitalization: lessons from Thailand

    Pichawadee Kittipanya-ngam;Kim Hua Tan

  • Managing product quality risk and visibility in multi-layer supply chain

    Ying Kei Tse;Kim Hua Tan

  • Green and lean sustainable development path in China: Guanxi, practices and performance

    Yuanzhu Zhan;Kim Hua Tan;Guojun Ji;Leanne Chung

  • Managing product quality risk in a multi-tier global supply chain

    Ying Kei Tse;Kim Hua Tan

  • A sustainable Blockchain framework for the halal food supply chain: Lessons from Malaysia

    Mohd Helmi Ali;Leanne Chung;Ajay Kumar;Suhaiza Zailani

  • Technological innovation and structural change for economic development in China as an emerging market

    Xiaoxiao Zhou;Ziming Cai;Kim Hua Tan;Linling Zhang

  • Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19

    Unknown

  • Supply chain resilience reactive strategies for food SMEs in coping to COVID-19 crisis

    Mohd Helmi Ali;Mohd Helmi Ali;Norhidayah Suleiman;Norlin Khalid;Kim Hua Tan

  • Investigating the impact of AI-powered technologies on Instagrammers’ purchase decisions in digitalization era–A study of the fashion and apparel industry

    Unknown

  • Unlocking the power of big data in new product development

    Yuanzhu Zhan;Kim Hua Tan;Yina Li;Ying Kei Tse

  • Effects of managerial ties and trust on supply chain information sharing and supplier opportunism

    Zhiqiang Wang;Fei Ye;Kim Hua Tan

  • Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions

    Runyue Han;Hugo K.S. Lam;Yuanzhu Zhan;Yichuan Wang

  • A supply chain integrity framework for halal food

    Mohd Helmi Ali;Kim Hua Tan;Daud Ismail

  • Improving new product development using big data: a case study of an electronics company

    Kim Hua Tan;Yuanzhu Zhan

  • Leveraging the supply chain flexibility of third party logistics - Hybrid knowledge-based system approach

    K. L. Choy;Harry K. H. Chow;K. H. Tan;Chi-Kin Chan

Frequent Co-Authors

Ming-Lang Tseng
Ming-Lang Tseng Asian University
Ken Platts
Ken Platts University of Cambridge
Anthony S.F. Chiu
Anthony S.F. Chiu De La Salle University
Kulwant S. Pawar
Kulwant S. Pawar University of Nottingham
Kuen-Suan Chen
Kuen-Suan Chen National Chin-Yi University of Technology
Chee Peng Lim
Chee Peng Lim Swinburne University of Technology
Yong Geng
Yong Geng Shanghai Jiao Tong University
King Lun Choy
King Lun Choy Hong Kong Polytechnic University
Malin Song
Malin Song Anhui University of Finance and Economics
Mohammad Iranmanesh
Mohammad Iranmanesh Taylor's University

External Links

Personal website of Kim Hua Tan Google Scholar page

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