Liang Lu

764 total citations
38 papers, 476 citations indexed

About

Liang Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Information Systems. According to data from OpenAlex, Liang Lu has authored 38 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Management Information Systems. Recurrent topics in Liang Lu's work include Supply Chain and Inventory Management (8 papers), Video Coding and Compression Technologies (5 papers) and Scheduling and Optimization Algorithms (5 papers). Liang Lu is often cited by papers focused on Supply Chain and Inventory Management (8 papers), Video Coding and Compression Technologies (5 papers) and Scheduling and Optimization Algorithms (5 papers). Liang Lu collaborates with scholars based in China, United States and United Kingdom. Liang Lu's co-authors include Xiangtong Qi, Zhixin Liu, Xian‐Sheng Hua, H.-J. Zhang, Xiaofeng Xie, Stephen F. Smith, Gregory J. Barlow, William P. Marnane, Neil Hanley and Andrew W. Byrne and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and Journal of the Operational Research Society.

In The Last Decade

Liang Lu

30 papers receiving 456 citations

Peers

Liang Lu
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 144
  • Control and Systems Engineering 97
  • Artificial Intelligence 97
  • Management Information Systems 76
  • Transportation 73
Everton Cavalcante Brazil
Irfan Ul Haq Pakistan
Erwin Adi Australia
Oleksiy Mazhelis Finland
Reijo Sulonen Finland
Mahdi Fahmideh Australia
Linzhong Liu China
Muhammad Nasir Mumtaz Bhutta Saudi Arabia
Gleb Radchenko Russia
Aldo Dagnino United States
Everton Cavalcante Brazil View profile →
Citations per field, relative to Liang Lu
Liang Lu · 1×
Citations per year, relative to Liang Lu
Liang Lu · 1×

Countries citing papers authored by Liang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Liang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Lu. A scholar is included among the top collaborators of Liang Lu 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 Lu. Liang Lu 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 0
2 0
3 4
4 0
5 0
6 0
7 1
8 3
9 2
10 4
11 20
12 2
13 91
14 6
15 9
16
Content Discovery from Composite Audio: An unsupervised approach
2
17 1
18 2
19 0
20 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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