Su Wang

872 citations
24 papers · 564 · h-index 10

Impact in

  • Geophysics top 10%
    • Geological and Geochemical Analysis
    • High-pressure geophysics and materials
    • earthquake and tectonic studies
    • Network Security and Intrusion Detection
    • Software System Performance and Reliability

Papers in

Su Wang

23 papers receiving 549 citations

Peers

Su Wang
Comparison fields: 5 of 75
  • Geophysics 201
  • Computer Networks and Communications 169
  • Signal Processing 75
  • Artificial Intelligence 179
  • Computer Vision and Pattern Recognition 84
Replace Weiyun Huang with:
Weiyun Huang Taiwan
Changyou Zhang China
Ambuj Kumar Agarwal India
Yifeng Cui United States
Wenbo Wu China
Shashank Sahu India
M. Sami Soliman Egypt
Kai Zheng China
Zhengyu Zhao China
Su Wang relative to Weiyun Huang Taiwan Weiyun Huang's profile →
Citations per field
00.5×11.1×
Weiyun Huang · 1×
Citations per year

Countries citing papers authored by Su Wang

Since Specialization
Citations

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

Fields of papers citing papers by Su Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Su Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Su Wang Line = papers co-authored together Su Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996206
2 202281
3 202173
4 200836
5 202333
6 202227
7 201122
8 202321
9 201913
10 202310
11 20248
12 20228
13 19957
14 20246
15 20202
16 20212
17 20102
18
Nursing Robot Safety Path Planning Based on Improved A star Algorithm
20192
19 20241
20 20241

About Su Wang

Su Wang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Geophysics, having authored 24 papers that have together received 564 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Malware Detection Techniques (3 papers), Software System Performance and Reliability (2 papers), Medical Image Segmentation Techniques (2 papers), Geological and Geochemical Analysis (2 papers), Medical Imaging Techniques and Applications (2 papers) and earthquake and tectonic studies (2 papers). The work is most often cited by research in Geophysics (201 citations), Computer Networks and Communications (169 citations), Signal Processing (75 citations), Artificial Intelligence (179 citations) and Computer Vision and Pattern Recognition (84 citations). Su Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include L. Dobrzhinetskaya, Harry W. Green, Zhiliang Wang, Jiahai Yang, Han Zhang, Xia Yin, Xingang Shi, Dongqi Han, Wenqi Chen and Tao Zhou. Their work appears in journals such as Frontiers in Neurorobotics, IEEE Transactions on Medical Imaging, Neurocomputing, American Mineralogist and Journal of Geophysical Research Oceans.

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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