Qiang Long

437 citations
21 papers · 337 indexed · h-index 11
Topics
Advanced Optimization Algorithms Research (9 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)Metaheuristic Optimization Algorithms Research (6 papers)

In The Last Decade

Qiang Long

19 papers receiving 321 citations

Peers

Qiang Long
Comparison fields: 5 of 88
  • Artificial Intelligence 101
  • Computational Theory and Mathematics 81
  • Computer Networks and Communications 54
  • Building and Construction 47
  • Electrical and Electronic Engineering 40
Replace Pradyumn Kumar Shukla with:
Pradyumn Kumar Shukla Germany
Yancang Li China
Nikos Ath. Kallioras Greece
Xiaorong Sun China
Sujin Kim South Korea
Neda Farhoudi Iran
Hardi M. Mohammed Iraq
Yingchao Dong China
L. Bayón Spain
Qiang Long relative to Pradyumn Kumar Shukla Germany Pradyumn Kumar Shukla's profile →
Citations per field
00.5×3.9×
Pradyumn Kumar Shukla · 1×
Citations per year

Countries citing papers authored by Qiang Long

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Long

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Long. A scholar is included among the top collaborators of Qiang Long 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 Qiang Long. Qiang Long 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
#WorkIndexed citations
1 1
2 21
3 7
4 0
5 11
6 26
7 26
8 3
9 0
10 18
11 1
12 16
13 63
14 4
15 35
16 41
17 43
18 2
19 10
20
A global optimized solution of nonlinear programming with equality constraints
1

About Qiang Long

Qiang Long is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Artificial Intelligence, having authored 21 papers that have together received 337 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (9 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). The work is most often cited by research in Computational Theory and Mathematics (81 citations), Numerical Analysis (26 citations) and Building and Construction (47 citations). Qiang Long has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Changzhi Wu, Xiangyu Wang, Jueyou Li, Tingwen Huang, Zhiyou Wu, Xue Wu, Kris M. Y. Law, Yi Tan, Junxiang Zhu and Yongze Song. Their work appears in journals such as Expert Systems with Applications, Automation in Construction and Applied Mathematics and Computation.

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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