Sifan Wu

626 total citations
19 papers, 284 citations indexed

About

Sifan Wu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sifan Wu has authored 19 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sifan Wu's work include Smart Grid Security and Resilience (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Topic Modeling (2 papers). Sifan Wu is often cited by papers focused on Smart Grid Security and Resilience (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Topic Modeling (2 papers). Sifan Wu collaborates with scholars based in China, United States and United Kingdom. Sifan Wu's co-authors include Qianggang Ding, Jiadong Guo, Jian Guo, Hao Sun, Xi Xiao, Ying Wei, Junzhou Huang, Peilin Zhao, Fan Lin and Qiang Li and has published in prestigious journals such as Applied Energy, International Journal of Electrical Power & Energy Systems and The Journal of Antibiotics.

In The Last Decade

Sifan Wu

15 papers receiving 275 citations

Peers

Sifan Wu
Comparison fields: 5 of 75
  • Management Science and Operations Research 129
  • Signal Processing 80
  • Artificial Intelligence 68
  • Electrical and Electronic Engineering 59
  • Economics and Econometrics 40
Replace Ozan Kocadağlı with:
Ozan Kocadağlı Türkiye
Mirza Mohd Shahriar Maswood Bangladesh
Furao Shen China
Qianggang Ding China
Gopalakrishnan E. A India
Xiang Ma China
Martha Pulido Mexico
Yizhuo Li China
Piyush Kumar India
Ozan Kocadağlı Türkiye View profile →
Citations per field, relative to Sifan Wu
Sifan Wu · 1×
Citations per year, relative to Sifan Wu
Sifan Wu · 1×

Countries citing papers authored by Sifan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sifan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sifan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sifan Wu. A scholar is included among the top collaborators of Sifan Wu 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 Sifan Wu. Sifan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 0
3 2
4 3
5 0
6 10
7 0
8 1
9 4
10 3
11 1
12 30
13
Adversarial Sparse Transformer for Time Series Forecasting
89
14 117
15 5
16 0
17 2
18 12
19 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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