World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
49
Citations
17609
World Ranking
1021
National Ranking
44

Yaobin Lu 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 Yaobin Lu sits on this spectrum.

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 scientists 435 publications: 1 scientists 436+ publications: 100 scientists
35 publications 436+

This scientist: 157 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Yaobin Lu 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 Yaobin Lu sits on this spectrum.

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: 49 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Yaobin Lu is affiliated with Huazhong University of Science and Technology in China. Their research primarily focuses on social sciences and business, management, and accounting, with significant contributions in subfields such as sociology and political science, marketing, artificial intelligence, information systems and management, and organizational behavior and human resource management.

The main topics addressed in their work include digital marketing and social media, technology adoption and user behaviour, AI in service interactions, customer service quality and loyalty, the sharing economy and platforms, knowledge management and sharing, and open source software innovations.

Yaobin Lu has published numerous papers with a consistent presence in notable journals. Among recent publications are:

  • Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants, 2020, International Journal of Information Management
  • Can AI chatbots help retain customers? Impact of AI service quality on customer loyalty, 2023, Internet Research
  • Classifying and measuring the service quality of AI chatbot in frontline service, 2022, Journal of Business Research
  • Dual humanness and trust in conversational AI: A person-centered approach, 2021, Computers in Human Behavior
  • Speaking vs. listening? Balance conversation attributes of voice assistants for better voice marketing, 2022, International Journal of Research in Marketing

Frequent coauthors collaborating with Yaobin Lu include:

  • Yeming Gong
  • Aihui Chen
  • Sumeet Gupta
  • Zhao Pan
  • Qian Chen

Their scholarly output appears regularly in publication venues such as:

  • Internet Research
  • Industrial Management & Data Systems
  • Information Technology and People
  • MIS Quarterly
  • International Journal of Information Management

Best Publications

  • Integrating TTF and UTAUT to explain mobile banking user adoption

    Tao Zhou;Yaobin Lu;Bin Wang

  • Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China

    Zhaohua Deng;Yaobin Lu;Kwok Kee Wei;Jinlong Zhang

  • From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers' purchase intention

    Yaobin Lu;Ling Zhao;Bin Wang

  • Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective

    Yaobin Lu;Shuiqing Yang;Patrick Y. K. Chau;Yuzhi Cao

  • Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits

    Shuiqing Yang;Yaobin Lu;Sumeet Gupta;Yuzhi Cao

  • Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory

    Yaobin Lu;Tao Zhou;Bin Wang

  • What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences

    Hong Zhang;Yaobin Lu;Sumeet Gupta;Ling Zhao

  • Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services

    Shuwei Zhang;Ling Zhao;Yaobin Lu;Jun Yang

  • Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience

    Tao Zhou;Yaobin Lu

  • Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention

    Ling Zhao;Yaobin Lu

  • Cultivating the sense of belonging and motivating user participation in virtual communities: A social capital perspective

    Ling Zhao;Yaobin Lu;Bin Wang;Patrick Y.K. Chau

  • Assessing the effects of service quality and justice on customer satisfaction and the continuance intention of mobile value-added services: An empirical test of a multidimensional model

    Ling Zhao;Yaobin Lu;Long Zhang;Patrick Y. K. Chau

  • The Relative Importance of Website Design Quality and Service Quality in Determining Consumers’ Online Repurchase Behavior

    Tao Zhou;Yaobin Lu;Bin Wang

  • Customers’ purchase decision-making process in social commerce: A social learning perspective

    Aihui Chen;Yaobin Lu;Bin Wang

  • Disclosure Intention of Location-Related Information in Location-Based Social Network Services

    Ling Zhao;Yaobin Lu;Sumeet Gupta

  • A multidimensional and hierarchical model of mobile service quality

    Yaobin Lu;Long Zhang;Bin Wang

  • How do product recommendations affect impulse buying? An empirical study on WeChat social commerce

    Yanhong Chen;Yaobin Lu;Bin Wang;Zhao Pan

  • Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants

    Qian Hu;Yaobin Lu;Zhao Pan;Yeming Gong

  • The impacts of technological environments and co-creation experiences on customer participation

    Hong Zhang;Yaobin Lu;Bin Wang;Sibin Wu

  • Understanding the evolution of consumer trust in mobile commerce: a longitudinal study

    Jiabao Lin;Bin Wang;Na Wang;Yaobin Lu

  • A study on factors that affect users' behavioral intention to transfer usage from the offline to the online channel

    Yaobin Lu;Yuzhi Cao;Bin Wang;Shuiqing Yang

Frequent Co-Authors

Kwok Kee Wei
Kwok Kee Wei National University of Singapore
Patrick Y. K. Chau
Patrick Y. K. Chau Beijing Normal University
Yeming Gong
Yeming Gong EMLYON Business School
Kin Keung Lai
Kin Keung Lai Shaanxi Normal University
Hefu Liu
Hefu Liu University of Science and Technology of China

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