World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
46
Citations
9010
World Ranking
1225
National Ranking
191

Feng Li 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 Feng Li 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: 155 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Feng Li 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 Feng Li 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: 46 D-Index — 61st percentile

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

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

Overview

Feng Li is affiliated with City, University of London in the United Kingdom. Their research primarily focuses on Decision Sciences with a significant contribution to Management Science and Operations Research.

Their scholarly output includes a considerable number of publications in key venues such as:

  • arXiv (Cornell University) with 9 publications
  • International Journal of Forecasting with 7 publications
  • Expert Systems with Applications with 2 publications
  • Virtual Community of Pathological Anatomy (University of Castilla La Mancha) with 1 publication
  • Chinese Medical Journal with 1 publication

The main research topics cover a diverse range in the forecasting and analytical domain, including:

  • Forecasting Techniques and Applications
  • Stock Market Forecasting Methods
  • Time Series Analysis and Forecasting
  • Energy Load and Power Forecasting
  • Atmospheric and Environmental Gas Dynamics
  • Air Quality Monitoring and Forecasting
  • Market Dynamics and Volatility

Their subfields of study encompass:

  • Management Science and Operations Research
  • Signal Processing
  • Economics and Econometrics
  • Civil and Structural Engineering
  • Electrical and Electronic Engineering

Feng Li has coauthored multiple papers with several frequent collaborators, including:

  • Yanfei Kang
  • Fotios Petropoulos
  • Li Li
  • Anastasios Panagiotelis

The recent papers authored or coauthored by Feng Li demonstrate activity in forecasting methodologies and applied fields:

  • "Forecasting: theory and practice," published in 2022 by the Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
  • "Forecast combinations: An over 50-year review," published in 2022 in the International Journal of Forecasting
  • "Forecasting with time series imaging," published in 2020 in Expert Systems with Applications
  • "Socioeconomic inequalities in cancer incidence and mortality: An analysis of GLOBOCAN 2022," published in 2024 in the Chinese Medical Journal
  • "Forecasting: theory and practice," published in 2022 in the International Journal of Forecasting

No awards or book publications are listed in the available data for Feng Li.

Best Publications

  • Cloud computing adoption by SMEs in the north east of England: A multi‐perspective framework

    Yazan Alshamaila;Savvas Papagiannidis;Feng Li

  • The digital transformation of business models in the creative industries: A holistic framework and emerging trends

    Feng Li

  • Deconstruction of the telecommunications industry: from value chains to value networks

    Feng Li;Jason Whalley

  • Spatiotemporal change detection of ecological quality and the associated affecting factors in Dongting Lake Basin, based on RSEI

    Baodong Yuan;Lina Fu;Yeai Zou;Siqi Zhang

  • Making real money in virtual worlds: MMORPGs and emerging business opportunities, challenges and ethical implications in metaverses

    Savvas Papagiannidis;Michael A. Bourlakis;Feng Li

  • Retail spatial evolution: paving the way from traditional to metaverse retailing

    Michael Bourlakis;Savvas Papagiannidis;Feng Li

  • Perceived colleagues' safety knowledge/behavior and safety performance: safety climate as a moderator in a multilevel study.

    Li Jiang;Guangtao Yu;Yongjuan Li;Feng Li

  • Job demands, job resources and safety outcomes: The roles of emotional exhaustion and safety compliance.

    Feng Li;Li Jiang;Xiang Yao;YongJuan Li

  • Internet-induced marketing techniques: Critical factors in viral marketing campaigns

    Maria Woerndl;Savvas Papagiannidis;Michael Bourlakis;Feng Li

  • How smart cities transform operations models: a new research agenda for operations management in the digital economy

    Feng Li;Alberto Nucciarelli;Sinead Roden;Gary Graham

  • Leading digital transformation: three emerging approaches for managing the transition

    Feng Li

  • Effective virtual teams through communities of practice

    C Kimble;Feng Li;Alexis Barlow

  • Foreign investment in China

    Feng Li;Jing Li

  • Implementing E-Government Strategy in Scotland: Current Situation and Emerging Issues

    Feng Li

  • Spatiotemporal assessment and trade-offs of multiple ecosystem services based on land use changes in Zengcheng, China.

    Xiao Sun;Feng Li

  • From value chains to technological platforms: The effects of crowdfunding in the digital game industry

    Alberto Nucciarelli;Alberto Nucciarelli;Feng Li;Kiran Jude Fernandes;Nikolaos Goumagias

  • Pre-purchasing with option contract and coordination in a relief supply chain

    Xihui Wang;Xihui Wang;Feng Li;Liang Liang;Zhimin Huang;Zhimin Huang

  • A Holistic Framework for Trust in Online Transactions

    Feng Li;Dariusz Pieńkowski;Aad van Moorsel;Chris Smith

  • Evaluating the usability and content usefulness of web sites: A benchmarking approach

    Shahizan Hassan;Feng Li

  • Allocating a fixed cost based on a DEA-game cross efficiency approach

    Feng Li;Feng Li;Qingyuan Zhu;Qingyuan Zhu;Liang Liang;Liang Liang

  • Information Technology and Control.

    Rahim Ghasemiyeh;Feng Li

Frequent Co-Authors

Liang Liang
Liang Liang Hefei University of Technology
Michael Bourlakis
Michael Bourlakis Cranfield University
Peter I. Cowling
Peter I. Cowling Queen Mary University of London
Daniel Kudenko
Daniel Kudenko L3S Research Center
Jie Wu
Jie Wu University of Science and Technology of China
Chao-Gan Yan
Chao-Gan Yan Tsinghua University
Wenbin Guo
Wenbin Guo Central South University
Gang Kou
Gang Kou Southwestern University of Finance and Economics
Qiyong Gong
Qiyong Gong Sichuan University
Jiang Qiu
Jiang Qiu Southwest University

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Expanding your education in business and management is more accessible than ever, thanks to a variety of affordable online masters programs. These programs offer flexibility and lower costs, making advanced study possible for more students. Choosing the right program is important, so be sure to explore options that align with your budget and career goals.

Data-driven decision-making is vital in today’s business world. Many professionals are now pursuing data science programs online to gain skills in analytics and technology—a valuable asset for management roles. For those interested in academic research or executive leadership, consider programs like the online phd leadership, which provide in-depth knowledge for senior positions.

When choosing an online degree, always verify the credibility of the institution. Enrolling in accredited online degree programs ensures your qualifications are recognized by employers and other universities.

Best Scientists Citing Feng Li

Trending Scientists

Recently Published Articles