Liang Gao

44.5k total citations · 10 hit papers
1.0k papers, 34.5k citations indexed

About

Liang Gao is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Liang Gao has authored 1.0k papers receiving a total of 34.5k indexed citations (citations by other indexed papers that have themselves been cited), including 406 papers in Industrial and Manufacturing Engineering, 213 papers in Computational Theory and Mathematics and 179 papers in Artificial Intelligence. Recurrent topics in Liang Gao's work include Scheduling and Optimization Algorithms (281 papers), Advanced Manufacturing and Logistics Optimization (212 papers) and Advanced Multi-Objective Optimization Algorithms (198 papers). Liang Gao is often cited by papers focused on Scheduling and Optimization Algorithms (281 papers), Advanced Manufacturing and Logistics Optimization (212 papers) and Advanced Multi-Objective Optimization Algorithms (198 papers). Liang Gao collaborates with scholars based in China, India and United Kingdom. Liang Gao's co-authors include Xinyu Li, Long Wen, Mi Xiao, Quan-Ke Pan, Yuyan Zhang, Xinyu Shao, Haobo Qiu, Hao Li, Chao Lu and Akhil Garg and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Liang Gao

969 papers receiving 33.5k citations

Hit Papers

A New Convolutional Neural Network-Based Da... 2008 2026 2014 2020 2017 2017 2019 2016 2008 500 1000 1.5k

Peers

Liang Gao
Comparison fields: 5 of 197
  • Industrial and Manufacturing Engineering 13.4k
  • Control and Systems Engineering 6.4k
  • Artificial Intelligence 6.3k
  • Computational Theory and Mathematics 5.6k
  • Civil and Structural Engineering 5.5k
Replace Sakshi Agarwal with:
Sakshi Agarwal India
Amrit Pratap United States
Carlos A. Coello Coello Mexico
Enrico Zio Italy
Timothy W. Simpson United States
Sankaran Mahadevan United States
Lothar Thiele Switzerland
Ali Rıza Yıldız Türkiye
Andrew Lewis Australia
A. Kaveh Iran
Sakshi Agarwal India View profile →
Citations per field, relative to Liang Gao
Liang Gao · 1×
Citations per year, relative to Liang Gao
Liang Gao · 1×

Countries citing papers authored by Liang Gao

Since Specialization
Citations

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

Fields of papers citing papers by Liang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Gao. A scholar is included among the top collaborators of Liang Gao 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 Gao. Liang Gao 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 3
2 6
3 5
4 8
5 8
6 22
7 4
8 3
9 22
10 18
11 10
12 29
13 41
14 4
15 6
16 43
17 1
18 7
19 3
20 14

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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2026