World's Best Scientists 2026 revealed!
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Eric W.T. Ngai
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Business and Management
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Business and Management 85 124 114 9 9 244 33742
Computer Science 82 945 914 139 137 232 32916

Eric W.T. Ngai publications per year

The chart shows the history of publications by Eric W.T. Ngai between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Eric W.T. Ngai published across 32 years, from 1994 to 2025, averaging 9.1 papers a year. Output peaked at 23 publications in 2024. 29 of the 290 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2024. 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 1 publication 1998: 1 publication 1999: 2 publications 2000: 0 publications 2001: 3 publications 2002: 4 publications 2003: 8 publications 2004: 9 publications 2005: 15 publications 2006: 5 publications 2007: 20 publications 2008: 17 publications 2009: 17 publications 2010: 7 publications 2011: 15 publications 2012: 10 publications 2013: 12 publications 2014: 14 publications 2015: 17 publications 2016: 10 publications 2017: 5 publications 2018: 13 publications 2019: 9 publications 2020: 9 publications 2021: 11 publications 2022: 11 publications 2023: 15 publications 2024: 23 publications 2025: 6 publications
1994 2025

290 publications in total across all disciplines

View publications per year as a table
Eric W.T. Ngai: publications per year, 1994 to 2025
Year Publications
1994 1
1995 0
1996 0
1997 1
1998 1
1999 2
2000 0
2001 3
2002 4
2003 8
2004 9
2005 15
2006 5
2007 20
2008 17
2009 17
2010 7
2011 15
2012 10
2013 12
2014 14
2015 17
2016 10
2017 5
2018 13
2019 9
2020 9
2021 11
2022 11
2023 15
2024 23
2025 6
Total 290
Download as CSV

Eric W.T. Ngai publications per year - data summary

  • Eric W.T. Ngai, a Business and Management scholar from Hong Kong Polytechnic University, has 290 publications recorded across 32 years, from 1994 to 2025.
  • The oldest publication on record dates to 1994 and the most recent to 2025.
  • The most productive year is 2024, with 23 publications.
  • The least productive years with any output are 1994, 1997 and 1998, with 1 publication each.
  • 3 of the 32 years in the span carry no publications at all (1995, 1996 and 2000).
  • The rate of publication averages 9.1 papers per year over the whole span, or 10.0 per year counting only the 29 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 66 publications, 23% of the career total.
  • Split into equal eras - 1994-2004: 29 publications (2.6 per year); 2005-2015: 149 publications (13.5 per year); 2016-2025: 112 publications (11.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Eric W.T. Ngai 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 Eric W.T. Ngai 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: 244 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 34 244
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

Eric W.T. Ngai publication distribution in Business and Management in 2026 - data summary

  • The chart plots the publication count of all 3,017 Business and Management scientists ranked by Research.com in 2026, grouped into 82 ranges running from 35–39 to 436+ publications.
  • Eric W.T. Ngai, a Business and Management scholar from Hong Kong Polytechnic University, records 244 publications - the 85th percentile of the discipline.
  • 85% of ranked Business and Management scientists score the same or lower than Eric W.T. Ngai, and about 15% score higher.
  • The median of the discipline falls in the 135–139 publications range, and Eric W.T. Ngai ranks above the median.
  • The most crowded range is 95–99 publications, holding 122 scientists (4% of the field).
  • 52% of the field sits in the lowest quarter of the value range (up to 135–139 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 436 publications or more, 100 scientists in all (3% of the field).

Eric W.T. Ngai 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 Eric W.T. Ngai 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, 85 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: 85 D-Index — 96th percentile

96% 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
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 85
86 4
87 11
88 6
89+ 96
Download as CSV

Eric W.T. Ngai D-index placement in Business and Management in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,017 Business and Management scientists ranked by Research.com in 2026, grouped into 60 ranges running from 30 to 89+ D-Index.
  • Eric W.T. Ngai, a Business and Management scholar from Hong Kong Polytechnic University, records 85 D-Index - the 96th percentile of the discipline.
  • 96% of ranked Business and Management scientists score the same or lower than Eric W.T. Ngai, and about 4% score higher.
  • The median of the discipline falls in the 42 D-Index range, and Eric W.T. Ngai ranks above the median.
  • The most crowded range is 32 D-Index, holding 171 scientists (6% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 44 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 89 D-Index or more, 96 scientists in all (3% of the field).

Research.com Recognitions

  • 2026 - Research.com Business and Management in China Leader Award
  • 2025 - Research.com Business and Management in China Leader Award
  • 2024 - Research.com Business and Management in China Leader Award
  • 2023 - Research.com Business and Management in China Leader Award

Overview

Eric W.T. Ngai is affiliated with the Hong Kong Polytechnic University in China. Their research primarily focuses on the field of Business, Management and Accounting, with 57 publications in this area. Within this, their work spans various subfields, including Strategy and Management, Sociology and Political Science, Management Information Systems, Information Systems, and Management Science and Operations Research.

The scientist has contributed to several main research topics, encompassing Digital Marketing and Social Media, Supply Chain Resilience and Risk Management, Technology Adoption and User Behaviour, Big Data and Business Intelligence, Blockchain Technology Applications and Security, Sustainable Supply Chain Management, and Competitive and Knowledge Intelligence.

Eric W.T. Ngai has frequently published in notable venues such as:

  • Annals of Operations Research
  • Internet Research
  • SSRN Electronic Journal
  • Information & Management
  • Journal of Business Research

Their recent papers include:

  • "Deep learning in computer vision: A critical review of emerging techniques and application scenarios" (2021) published in Machine Learning with Applications
  • "A note on big data analytics capability development in supply chain" (2020) published in Decision Support Systems
  • "The implementation of artificial intelligence in organizations: A systematic literature review" (2023) published in Information & Management
  • "Machine learning in marketing: A literature review, conceptual framework, and research agenda" (2022) published in Journal of Business Research
  • "Impact of artificial intelligence investment on firm value" (2021) published in Annals of Operations Research

Eric W.T. Ngai has collaborated extensively with several coauthors, including Ariel K.H. Lui, David T.W. Wong, Ashish Kumar Jha, Maggie C. M. Lee, and Ajay Kumar.

Best Publications

  • Review: Application of data mining techniques in customer relationship management: A literature review and classification

    E. W. T. Ngai;Li Xiu;D. C. K. Chau

  • Information systems in supply chain integration and management

    Angappa Gunasekaran;Eric W. T. Ngai

  • The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature

    E. W. T. Ngai;Yong Hu;Y. H. Wong;Yijun Chen

  • Big data analytics in logistics and supply chain management: Certain investigations for research and applications

    Gang Wang;Angappa Gunasekaran;Eric W.T. Ngai;Thanos Papadopoulos

  • Application of decision-making techniques in supplier selection: A systematic review of literature

    Junyi Chai;James N. K. Liu;Eric W. T. Ngai

  • Empirical examination of the adoption of WebCT using TAM

    Eric W. T. Ngai;J. K. L. Poon;Y. H. C. Chan

  • RFID research: An academic literature review (1995–2005) and future research directions

    E.W.T. Ngai;Karen K.L. Moon;Frederick J. Riggins;Candace Y. Yi

  • Examining the critical success factors in the adoption of enterprise resource planning

    E. W. T. Ngai;C. C. H. Law;F. K. T. Wat

  • A review for mobile commerce research and applications

    E. W. T. Ngai;A. Gunasekaran

  • Social media research

    Eric W.T. Ngai;Spencer S.C. Tao;Karen K.L. Moon

  • Build-to-order supply chain management: a literature review and framework for development

    A. Gunasekaran;E.W.T. Ngai

  • A literature review and classification of electronic commerce research

    E. W. T. Ngai;F. K. T. Wat

  • Deep learning in computer vision: A critical review of emerging techniques and application scenarios

    Junyi Chai;Junyi Chai;Hao Zeng;Anming Li;Eric W.T. Ngai

  • Customer relationship management research (1992‐2002): An academic literature review and classification

    E.W.T. Ngai

  • Measures for evaluating supply chain performance in transport logistics

    Kee-hung Lai;E.W.T Ngai;T.C.E Cheng

  • Extending the understanding of end user information systems satisfaction formation: an equitable needs fulfillment model approach

    N. Au;E. W. T. Ngai;T. C. E. Cheng

  • ERP systems adoption: An exploratory study of the organizational factors and impacts of ERP success

    Chuck C. H. Law;Eric W. T. Ngai

  • Customer churn prediction using improved balanced random forests

    Yaya Xie;Xiu Li;E. W. T. Ngai;Weiyun Ying

  • Information technology, operational, and management competencies for supply chain agility: Findings from case studies

    Eric W. T. Ngai;Dorothy C. K. Chau;T. L. A. Chan

  • Conceptualising electronic word of mouth activity: An input‐process‐output perspective

    Yolanda Y.Y. Chan;E.W.T. Ngai

Frequent Co-Authors

Angappa Gunasekaran
Angappa Gunasekaran Penn State Harrisburg
T.C.E. Cheng
T.C.E. Cheng Hong Kong Polytechnic University
Samuel Fosso Wamba
Samuel Fosso Wamba Toulouse Business School
Kee-hung Lai
Kee-hung Lai Hong Kong Polytechnic University
Alain Yee-Loong Chong
Alain Yee-Loong Chong University of Nottingham
Shahriar Akter
Shahriar Akter University of Wollongong
Nenad Mladenović
Nenad Mladenović Khalifa University
Pierre Hansen
Pierre Hansen HEC Montréal
Rameshwar Dubey
Rameshwar Dubey Montpellier Business School
Vincent C. S. Heung
Vincent C. S. Heung Hong Kong Polytechnic University

External Links

Personal website of Eric W.T. Ngai Google Scholar page

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Best Scientists Citing Eric W.T. Ngai

Samuel Fosso Wamba

Samuel Fosso Wamba

Toulouse Business School

Publications: 65

Angappa Gunasekaran

Angappa Gunasekaran

Penn State Harrisburg

Publications: 54

Kee-hung Lai

Kee-hung Lai

Hong Kong Polytechnic University

Publications: 40

T.C.E. Cheng

T.C.E. Cheng

Hong Kong Polytechnic University

Publications: 31

Yogesh K. Dwivedi

Yogesh K. Dwivedi

King Fahd University of Petroleum and Minerals

Publications: 29

King Lun Choy

King Lun Choy

Hong Kong Polytechnic University

Publications: 28

Christina W.Y. Wong

Christina W.Y. Wong

Hong Kong Polytechnic University

Publications: 27

Thanos Papadopoulos

Thanos Papadopoulos

University of Kent

Publications: 27

Rameshwar Dubey

Rameshwar Dubey

Montpellier Business School

Publications: 25

Charbel José Chiappetta Jabbour

Charbel José Chiappetta Jabbour

NEOMA Business School

Publications: 25

Timothy Teo

Timothy Teo

Chinese University of Hong Kong

Publications: 25

Joseph Sarkis

Joseph Sarkis

Worcester Polytechnic Institute

Publications: 24

Alain Yee-Loong Chong

Alain Yee-Loong Chong

University of Nottingham

Publications: 23

George Q. Huang

George Q. Huang

Hong Kong Polytechnic University

Publications: 22

Shahriar Akter

Shahriar Akter

University of Wollongong

Publications: 21

Kannan Govindan

Kannan Govindan

University of Adelaide

Publications: 17

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