World's Best Scientists 2026 revealed!
Jing-Sheng Song

Jing-Sheng Song

D-Index & Metrics

Business and Management

D-Index
41
Citations
6687
World Ranking
1596
National Ranking
672

Mathematics

D-Index
35
Citations
5473
World Ranking
2768
National Ranking
1133

Engineering and Technology

D-Index
41
Citations
6693
World Ranking
6983
National Ranking
1903

Jing-Sheng Song 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 Jing-Sheng Song 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: 73 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Jing-Sheng Song 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 Jing-Sheng Song 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: 41 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Overview

Jing-Sheng Song is affiliated with Duke University in the United States. Their research primarily spans the fields of Business, Management and Accounting as well as Computer Science. Within these broad areas, their work covers several subfields including Organizational Behavior and Human Resource Management, Industrial and Manufacturing Engineering, Control and Systems Engineering, Management Information Systems, and Business and International Management.

The main topics addressed in their work include:

  • Facility Location and Emergency Management
  • Advanced Manufacturing and Logistics Optimization
  • Optimization and Mathematical Programming
  • Supply Chain and Inventory Management
  • Innovation and Socioeconomic Development
  • Supply Chain Resilience and Risk Management
  • Logic, Programming, and Type Systems

Jing-Sheng Song has published research in a variety of academic venues. Some of the frequent publication venues are:

  • Journal of the Operational Research Society
  • Health Care Management Science
  • ePrints Soton (University of Southampton)
  • The "business & management collection."

The following list includes some of the recent papers associated with Jing-Sheng Song, with publication year and venue specified:

  • Supply chain innovations, 2021, The "business & management collection."

While Jing-Sheng Song has fewer recent solo or first-author publications in the data, they have frequent collaborations with other scholars. Frequent co-authors include:

  • Fotios Petropoulos
  • Gilbert Laporte
  • Emel Aktaş
  • Sibel A. Alumur
  • Claudia Archetti

Though some of their close collaborators have notable publications, Jing-Sheng Song's recent documented research contribution centers on supply chain innovations and areas linking operational research methods with business challenges. The integration of logistics, emergency management, and optimization techniques is characteristic of their research approach, reflecting interdisciplinary expertise.

Best Publications

  • Inventory Control in a Fluctuating Demand Environment

    Jing-Sheng Song;Paul Zipkin

  • Price, delivery time guarantees and capacity selection

    Kut C. So;Kut C. So;Jing-Sheng Song

  • Inventory Control with Information About Supply Conditions

    Jing-Sheng Song;Paul H. Zipkin

  • Supply Chain Operations: Assemble-to-Order Systems.

    Jing-Sheng Song;Paul H. Zipkin

  • The Effect of Leadtime Uncertainty in a Simple Stochastic Inventory Model

    Jing-Sheng Song

  • “Bricks-and-mortar” vs. “clicks-and-mortar”: An equilibrium analysis

    Fernando Bernstein;Jing-Sheng Song;Xiaona Zheng

  • Optimal Policies for Multiechelon Inventory Problems with Markov-Modulated Demand

    Fangruo Chen;Jing-Sheng Song

  • Order-Fulfillment Performance Measures in An Assemble-To-Order System with Stochastic Leadtimes

    Jing-Sheng Song;Susan H. Xu;Bin Liu

  • On the Order Fill Rate in a Multi-Item, Base-Stock Inventory System

    N. V. R. Mahadev;Aleksandar Pekec;Fred S. Roberts;Jing-Sheng Song

  • Performance Analysis and Optimization of Assemble-to-Order Systems with Random Lead Times

    Jing-Sheng Song;David D. Yao

  • Newsvendor Bounds and Heuristic for Optimal Policies in Serial Supply Chains

    Kevin H. Shang;Jing-Sheng Song

  • Free riding in a multi-channel supply chain

    Fernando Bernstein;Jing-Sheng Song;Xiaona Zheng

  • Order Fill Rate, Leadtime Variability, and Advance Demand Information in an Assemble-to-Order System

    Yingdong Lu;Jing-Sheng Song;David D. Yao

  • Order-Based Cost Optimization in Assemble-to-Order Systems

    Yingdong Lu;Jing-Sheng Song

  • Inventories with Multiple Supply Sources and Networks of Queues with Overflow Bypasses

    Jing-Sheng Song;Paul Zipkin

  • Contract Assembly: Dealing with Combined Supply Lead Time and Demand Quantity Uncertainty

    Jing-Sheng Song;Candace A. Yano;Panupol Lerssrisuriya

  • On Measuring Supplier Performance Under Vendor-Managed-Inventory Programs in Capacitated Supply Chains

    Ki-Seok Choi;J. G. Dai;Jing-Sheng Song

  • Demand Management and Inventory Control for Substitutable Products

    Jing-Sheng Song;Zhengliang Xue

  • Managing Inventory with the Prospect of Obsolescence

    Jing-Sheng Song;Paul H. Zipkin

  • Outsourcing structures and information flow in a three-tier supply chain

    Pengfei Guo;Jing-Sheng Song;Yulan Wang

  • On The Censored Newsvendor and the Optimal Acquisition of Information

    Xiangwen Lu;Jing-Sheng Song;Kaijie Zhu

Frequent Co-Authors

Paul Zipkin
Paul Zipkin Duke University
David D. Yao
David D. Yao Columbia University
Guillermo Gallego
Guillermo Gallego Chinese University of Hong Kong, Shenzhen
Candace Arai Yano
Candace Arai Yano University of California, Berkeley
Zvi Drezner
Zvi Drezner California State University, Fullerton
Fred S. Roberts
Fred S. Roberts Rutgers, The State University of New Jersey
Tracy R. Lewis
Tracy R. Lewis Duke University

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

Exploring business and management education in the USA opens up a range of online degree options, each offering unique career opportunities. When considering your study path, it’s important to factor in affordability, flexibility, and career outcome.

For those interested in project-based leadership, an online construction management degree cost can be a determining factor in advancing your career without a significant financial burden. If you’re already in a managerial role and looking to elevate your skills, exploring executive mba online courses can provide valuable leadership training accessible from anywhere.

Beyond traditional business fields, students are increasingly considering sector-specific degrees for broader career prospects. The cheapest online master's in nutrition offers a pathway into health-related business and consulting roles. For those drawn to tech, pursuing the cheapest masters in data science can lead to high-growth opportunities in data-driven industries.

Researching these programs helps you find the best fit for your interests, goals, and budget while building a strong foundation for future career success.

Best Scientists Citing Jing-Sheng Song

Trending Scientists

Recently Published Articles