Su Wang

837 citations
24 papers · 539 · h-index 9

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 523 citations

Peers

Su Wang
Comparison fields: 5 of 75
  • Geophysics 200
  • Computer Networks and Communications 160
  • Signal Processing 70
  • Artificial Intelligence 173
  • Computer Vision and Pattern Recognition 82
Replace Weiyun Huang with:
Weiyun Huang Taiwan
Michael Rudolf Germany
Yifeng Cui United States
Ambuj Kumar Agarwal India
Wenbo Wu China
Janis Keuper Germany
Zhengyu Zhao China
Kai Zheng China
P. F. Macdoran United States
Su Wang relative to Weiyun Huang Taiwan Weiyun Huang's profile →
Citations per field
00.5×10×15×
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 1996204
2 202173
3 202270
4 200836
5 202331
6 202224
7 201121
8 202320
9 201913
10 20238
11 19957
12 20227
13 20246
14 20246
15
Nursing Robot Safety Path Planning Based on Improved A star Algorithm
20192
16 20102
17 20202
18 20212
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 539 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers), Medical Imaging Techniques and Applications (2 papers), Multimodal Machine Learning Applications (2 papers), Geological and Geochemical Analysis (2 papers), earthquake and tectonic studies (2 papers) and Distributed Control Multi-Agent Systems (2 papers). The work is most often cited by research in Geophysics (200 citations), Computer Networks and Communications (160 citations), Signal Processing (70 citations), Artificial Intelligence (173 citations) and Computer Vision and Pattern Recognition (82 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, Dongqi Han, Xingang Shi, Jiahai Yang, Xia Yin, Han Zhang, Wenqi Chen and Hongbin Sun. Their work appears in journals such as IEEE Transactions on Medical Imaging, Europhysics Letters (EPL), Science, Neurocomputing 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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