Songfeng Lu

5.8k total citations · 1 hit paper
173 papers, 4.1k citations indexed

About

Songfeng Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Songfeng Lu has authored 173 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Artificial Intelligence, 37 papers in Computer Vision and Pattern Recognition and 36 papers in Computational Theory and Mathematics. Recurrent topics in Songfeng Lu's work include Quantum Computing Algorithms and Architecture (36 papers), Quantum Information and Cryptography (33 papers) and Metaheuristic Optimization Algorithms Research (27 papers). Songfeng Lu is often cited by papers focused on Quantum Computing Algorithms and Architecture (36 papers), Quantum Information and Cryptography (33 papers) and Metaheuristic Optimization Algorithms Research (27 papers). Songfeng Lu collaborates with scholars based in China, Egypt and Iraq. Songfeng Lu's co-authors include Mohamed Abd Elaziz, Rehab Ali Ibrahim, Ahmed A. Ewees, Diego Oliva, Mohammed A. A. Al‐qaness, Ammar H. Elsheikh, Abdelghani Dahou, Abdulaziz Fatani, Samuel L. Braunstein and Zhengding Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Songfeng Lu

153 papers receiving 3.9k citations

Hit Papers

Improved salp swarm algorithm based on particle swarm opt... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Songfeng Lu
Comparison fields: 5 of 169
  • Artificial Intelligence 2.0k
  • Electrical and Electronic Engineering 752
  • Computer Vision and Pattern Recognition 671
  • Computer Networks and Communications 569
  • Computational Theory and Mathematics 557
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Citations per field, relative to Songfeng Lu
Songfeng Lu · 1×
Citations per year, relative to Songfeng Lu
Songfeng Lu · 1×

Countries citing papers authored by Songfeng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Songfeng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songfeng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Songfeng Lu. A scholar is included among the top collaborators of Songfeng 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 Songfeng Lu. Songfeng 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 4
2 0
3 1
4 0
5 20
6 25
7 0
8 3
9 43
10 1
11 0
12 130
13 13
14 119
15 0
16 6
17 75
18 236
19 10
20 12

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