Song Su

489 total citations · 1 hit paper
43 papers, 285 citations indexed

About

Song Su is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Control and Systems Engineering. According to data from OpenAlex, Song Su has authored 43 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Control and Systems Engineering. Recurrent topics in Song Su's work include Gallbladder and Bile Duct Disorders (5 papers), Neural Networks and Applications (4 papers) and Fault Detection and Control Systems (3 papers). Song Su is often cited by papers focused on Gallbladder and Bile Duct Disorders (5 papers), Neural Networks and Applications (4 papers) and Fault Detection and Control Systems (3 papers). Song Su collaborates with scholars based in China, United Kingdom and United States. Song Su's co-authors include Ruijun Zhang, Jiayu Tian, Shanshan Gao, Yong Tang, Wenyao Li, Wei Wang, Mingsheng Shang, Yi‐Cheng Zhang, Gui‐Quan Sun and Lin Tao and has published in prestigious journals such as The Journal of Immunology, Physics Reports and Frontiers in Immunology.

In The Last Decade

Song Su

38 papers receiving 277 citations

Hit Papers

Epidemic spreading on higher-order networks 2024 2026 2025 2024 25 50 75

Peers

Song Su
Comparison fields: 5 of 103
  • Statistical and Nonlinear Physics 61
  • Water Science and Technology 58
  • Biomedical Engineering 49
  • Mechanical Engineering 35
  • Surgery 27
Replace Linna Liu with:
Linna Liu China
J.P. García-Sandoval Mexico
Nathaniel T. Stevens Canada
Xuelei Zhao China
Gisele Miranda Brazil
Zhewen Chen China
Yijun He China
Nadeem Ahmad Pakistan
Yanfang Zhang China
Gaurav Kataria India
Linna Liu China View profile →
Citations per field, relative to Song Su
Song Su · 1×
Citations per year, relative to Song Su
Song Su · 1×

Countries citing papers authored by Song Su

Since Specialization
Citations

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

Fields of papers citing papers by Song Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Su

This figure shows the co-authorship network connecting the top 25 collaborators of Song Su. A scholar is included among the top collaborators of Song Su 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 Song Su. Song Su 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 3
4 1
5 1
6 5
7 17
8 1
9 1
10 4
11 9
12 1
13 17
14 4
15 5
16
Proteomic Analysis of Leaves of the Chlorophyll-Deficient Wheat Mutant Mt6172 and Its Wild-Type through 2D-Difference Gel Electrophoresis
1
17
Improvement of the Visual Simulation of Mine Ventilation System
6
18
Overview of Neural Network Adaptive Control
1
19
Application of association rules in stock analysis
1
20
Embryonic and larval development of Amur sturgeon Acipenser schrenckii
3

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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