World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
8880
World Ranking
5404
National Ranking
724

Mathematics

D-Index
37
Citations
5500
World Ranking
2514
National Ranking
129

Overview

Ping Ji is affiliated with Hong Kong Polytechnic University in China and has contributed extensively to the field of Engineering, with a focus on several subfields including Industrial and Manufacturing Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Civil and Structural Engineering, and Artificial Intelligence.

Their research spans a diverse range of topics including:

  • Nanoplatforms for cancer theranostics
  • Sustainable Supply Chain Management
  • Advanced Manufacturing and Logistics Optimization
  • Supply Chain and Inventory Management
  • Nanoparticle-Based Drug Delivery
  • Antibiotic Resistance in Bacteria
  • Cancer, Hypoxia, and Metabolism

Ping Ji has published papers in various scientific journals, with frequent publication venues including:

  • Remote Sensing
  • SSRN Electronic Journal
  • Nano Letters
  • One Health Advances
  • Advanced Engineering Informatics

Among recent publications authored or co-authored by Ping Ji are:

  • Digital twin modeling, 2022, Journal of Manufacturing Systems
  • Platform logistics or self-logistics? Restaurants' cooperation with online food-delivery platform considering profitability and sustainability, 2021, International Journal of Production Economics
  • Current status and trends of antimicrobial resistance among clinical isolates in China: a retrospective study of CHINET from 2018 to 2022, 2023, One Health Advances
  • Hydrogel systems for targeted cancer therapy, 2023, Frontiers in Bioengineering and Biotechnology
  • Self-Assembled Copper-Based Nanoparticles for Glutathione Activated and Enzymatic Cascade-Enhanced Ferroptosis and Immunotherapy in Cancer Treatment, 2023, Small

Frequent collaborators include Xian-Zheng Zhang, C.K.M. Lee, Fupin Hu, Yan Jin, and Jingzheng Ren, who have co-authored multiple works alongside Ping Ji.

Best Publications

  • The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis

    Kevin Cullinane;Teng-Fei Wang;Dong-Wook Song;Ping Ji

  • Activity recognition with smartphone sensors

    Xing Su;Hanghang Tong;Ping Ji

  • An Application of DEA Windows Analysis to Container Port Production Efficiency

    Kevin Cullinane;Dong-Wook Song;Ping Ji;Teng-Fei Wang

  • A hybrid genetic algorithm for the multi-depot vehicle routing problem

    William Ho;George T. S. Ho;Ping Ji;Henry C. W. Lau

  • The relationship between privatization and DEA estimates of efficiency in the container port industry

    Kevin Cullinane;Ping Ji;Teng-fei Wang

  • Understanding customer needs through quantitative analysis of Kano's model

    Ting Wang;Ping Ji

  • Identifying helpful online reviews: A product designer's perspective

    Ying Liu;Jian Jin;Ping Ji;Jenny A. Harding

  • Understanding big consumer opinion data for market-driven product design

    Jian Jin;Ying Liu;Ping Ji;Hongguang Liu

  • Identifying comparative customer requirements from product online reviews for competitor analysis

    Jian Jin;Ping Ji;Rui Gu

  • A comparison of hard-state and soft-state signaling protocols

    Ping Ji;Zihui Ge;Jim Kurose;Don Towsley

  • Cyber-physical integration for moving digital factories forward towards smart manufacturing: a survey

    Ying Cheng;Ying Cheng;Yongping Zhang;Ping Ji;Wenjun Xu

  • The evolutionary complexity of complex adaptive supply networks: A simulation and case study

    Gang Li;Hongjiao Yang;Linyan Sun;Ping Ji

  • Quantification and integration of Kano’s model into QFD for optimising product design

    Ping Ji;Jian Jin;Ting Wang;Yizeng Chen

  • A mixed integer programming model for advanced planning and scheduling (APS)

    Kejia Chen;Ping Ji

  • Scale transitivity in the AHP

    Ping Ji;R. Jiang

  • Aging property of unimodal failure rate models

    R. Jiang;Ping Ji;X. Xiao

  • Positioning multiple decoupling points in a supply network

    X.Y. Sun;P. Ji;L.Y. Sun;Y.L. Wang

  • Coordination of the closed-loop supply chain for product line design with consideration of remanufactured products

    R. Aydin;Chun Kit Kwong;Ping Ji

  • Models involving two inverse Weibull distributions

    Renyan Jiang;D. N. P. Murthy;Ping Ji

  • Component scheduling for chip shooter machines: a hybrid genetic algorithm approach

    William Ho;Ping Ji

  • An improved approach for failure mode and effect analysis involving large group of experts: An application to the healthcare field

    Hu Chen Liu;Xiao Yue You;Fugee Tsung;Ping Ji

Frequent Co-Authors

Ji-Bo Wang
Ji-Bo Wang Shenyang Aerospace University
William Ho
William Ho University of Melbourne
Wing Bun Lee
Wing Bun Lee Hong Kong Polytechnic University
Carman K. M. Lee
Carman K. M. Lee Hong Kong Polytechnic University
Fei Tao
Fei Tao Beihang University
Srinivas Talluri
Srinivas Talluri Michigan State University
Prasanta Kumar Dey
Prasanta Kumar Dey Aston University
D. N. P. Murthy
D. N. P. Murthy University of Queensland
Richard Y. K. Fung
Richard Y. K. Fung City University of Hong Kong
Baozhuang Niu
Baozhuang Niu South China University of Technology

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