Ting Qu

7.6k total citations · 3 hit papers
188 papers, 5.6k citations indexed

About

Ting Qu is a scholar working on Industrial and Manufacturing Engineering, Strategy and Management and Management Information Systems. According to data from OpenAlex, Ting Qu has authored 188 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Industrial and Manufacturing Engineering, 28 papers in Strategy and Management and 27 papers in Management Information Systems. Recurrent topics in Ting Qu's work include Flexible and Reconfigurable Manufacturing Systems (58 papers), Digital Transformation in Industry (50 papers) and Advanced Manufacturing and Logistics Optimization (44 papers). Ting Qu is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (58 papers), Digital Transformation in Industry (50 papers) and Advanced Manufacturing and Logistics Optimization (44 papers). Ting Qu collaborates with scholars based in China, Hong Kong and Macao. Ting Qu's co-authors include George Q. Huang, Matthias Thürer, Abraham Zhang, Ray Y. Zhong, Donald Huisingh, Naiqi Wu, Yang Liu, Zhiwu Li, Congdong Li and Muhammad Farooque and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and European Journal of Operational Research.

In The Last Decade

Ting Qu

176 papers receiving 5.4k citations

Hit Papers

Circular supply chain management: A definit... 2012 2026 2016 2021 2019 2012 2015 100 200 300 400 500

Peers

Ting Qu
Comparison fields: 5 of 152
  • Industrial and Manufacturing Engineering 3.0k
  • Strategy and Management 1.4k
  • Management Information Systems 867
  • Marketing 536
  • Industrial and Manufacturing Engineering 464
Replace Ashutosh Tiwari with:
Ashutosh Tiwari United Kingdom
Chen–Fu Chien Taiwan
Erfan Babaee Tırkolaee Türkiye
Dimitris Kiritsis Switzerland
K.L. Choy Hong Kong
Mostafa Hajiaghaei–Keshteli Iran
Fariborz Jolai Iran
Sai‐Ho Chung Hong Kong
Guangdong Tian China
R.J. Kuo Taiwan
Ashutosh Tiwari United Kingdom View profile →
Citations per field, relative to Ting Qu
Ting Qu · 1×
Citations per year, relative to Ting Qu
Ting Qu · 1×

Countries citing papers authored by Ting Qu

Since Specialization
Citations

This map shows the geographic impact of Ting Qu'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 Ting Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Qu more than expected).

Fields of papers citing papers by Ting Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting Qu. 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 Ting Qu. The network helps show where Ting Qu may publish in the future.

Co-authorship network of co-authors of Ting Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Qu. A scholar is included among the top collaborators of Ting Qu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting Qu. Ting Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 3
3 1
4 2
5 2
6 8
7 0
8 35
9 23
10 13
11 2
12 6
13 17
14 15
15 38
16 29
17 11
18 15
19 21
20 8

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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