Liang Qi

4.8k total citations
214 papers, 3.5k citations indexed

About

Liang Qi is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Management Information Systems. According to data from OpenAlex, Liang Qi has authored 214 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Industrial and Manufacturing Engineering, 36 papers in Computational Theory and Mathematics and 35 papers in Management Information Systems. Recurrent topics in Liang Qi's work include Manufacturing Process and Optimization (70 papers), Advanced Manufacturing and Logistics Optimization (41 papers) and Business Process Modeling and Analysis (34 papers). Liang Qi is often cited by papers focused on Manufacturing Process and Optimization (70 papers), Advanced Manufacturing and Logistics Optimization (41 papers) and Business Process Modeling and Analysis (34 papers). Liang Qi collaborates with scholars based in China, United States and Macao. Liang Qi's co-authors include MengChu Zhou, Xiwang Guo, Shixin Liu, Wenjing Luan, Yaping Fu, Yuyue Du, Ziyan Zhao, Jian Zhao, Shujin Qin and Steven Przesmitzki and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and IEEE Transactions on Image Processing.

In The Last Decade

Liang Qi

191 papers receiving 3.5k citations

Peers

Liang Qi
Comparison fields: 5 of 149
  • Industrial and Manufacturing Engineering 1.4k
  • Control and Systems Engineering 511
  • Electrical and Electronic Engineering 501
  • Artificial Intelligence 450
  • Automotive Engineering 446
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Citations per field, relative to Liang Qi
Liang Qi · 1×
Citations per year, relative to Liang Qi
Liang Qi · 1×

Countries citing papers authored by Liang Qi

Since Specialization
Citations

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

Fields of papers citing papers by Liang Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Qi. A scholar is included among the top collaborators of Liang Qi 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 Liang Qi. Liang Qi 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 4
2 1
3 0
4 0
5 4
6 0
7 19
8 144
9 4
10 8
11 1
12 2
13 11
14 10
15 8
16 22
17
The New Double-Credit Regulation: Quantifying Its Impact on Plug-In Electric Vehicle Sales and Industry Profits
1
18 10
19
On-line Detection Method of Magnet Flux Linkage for Permanent Magnet Synchronous Motor
2
20
A Study on Drawing up Budgetary Estimate Quota of Terraced Field
1

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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