Yangke Ding

493 citations
8 papers · 342 · 1 hit paper · h-index 6

Impact in

Papers in

Yangke Ding

8 papers receiving 319 citations

Yangke Ding's Hit Papers

Smart logistics based on the internet of things technology: an overview 2020 · 267 citations
2670+2+4Years since publication50100150200250

Peers

Yangke Ding
Comparison fields: 5 of 57
  • Industrial and Manufacturing Engineering 129
  • Business and International Management 5
  • Strategy and Management 71
  • Management Information Systems 41
  • Management Science and Operations Research 39
Replace LI Sen with:
LI Sen China
Dingzhong Feng China
Peng Lin Hong Kong
Leidi Shen China
Valentas Gružauskas Lithuania
Yassine Issaoui Morocco
Giorgia Casella Italy
Marcus Vinicius Pereira Pessôa Brazil
Xuan Qiu Hong Kong
Danping Lin China
Yangke Ding relative to LI Sen China LI Sen's profile →
Citations per field
00.5×2×4×5.3×
LI Sen · 1×
Citations per year

Countries citing papers authored by Yangke Ding

Since Specialization
Citations

This map shows the geographic impact of Yangke Ding's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yangke Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangke Ding more than expected).

Fields of papers citing papers by Yangke Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yangke Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yangke Ding. The network helps show where Yangke Ding may publish in the future.

Co-authors

The 11 scholars most cited alongside Yangke Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yangke Ding Line = papers co-authored together Yangke Ding links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Smart logistics based on the internet of things technology: an overview
Hit paper breakdown →
2020267
2 201918
3 201918
4 201815
5 201910
6 202010
7 20183
8 20171

About Yangke Ding

Yangke Ding is a scholar working on Strategy and Management, Industrial and Manufacturing Engineering, Management Information Systems, Statistics, Probability and Uncertainty and Management of Technology and Innovation, having authored 8 papers that have together received 342 indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (4 papers), Supply Chain and Inventory Management (2 papers), Smart Agriculture and AI (1 paper), Food Supply Chain Traceability (1 paper), Transport and Logistics Innovations (1 paper), Digital Transformation in Industry (1 paper), Product Development and Customization (1 paper) and Advanced Manufacturing and Logistics Optimization (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (129 citations), Business and International Management (5 citations), Strategy and Management (71 citations), Management Information Systems (41 citations) and Management Science and Operations Research (39 citations). Yangke Ding has collaborated with scholars based in China and United States. Frequent co-authors include Dingzhong Feng, Mingzhou Jin, LI Sen, Guoda Chen, Guanghua Wu, Lei Ma, Lei Ma, Chao Shen, Zhiyan Pan and Tianhong Yan. Their work appears in journals such as Sustainability, Artificial intelligence for engineering design analysis and manufacturing, International Journal of Industrial Ergonomics, Journal of Cleaner Production and International Journal of Logistics Research and Applications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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