Fan Jiang

743 total citations
21 papers, 419 citations indexed

About

Fan Jiang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fan Jiang has authored 21 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fan Jiang's work include Anomaly Detection Techniques and Applications (8 papers), Network Security and Intrusion Detection (6 papers) and Error Correcting Code Techniques (4 papers). Fan Jiang is often cited by papers focused on Anomaly Detection Techniques and Applications (8 papers), Network Security and Intrusion Detection (6 papers) and Error Correcting Code Techniques (4 papers). Fan Jiang collaborates with scholars based in United States, China and Singapore. Fan Jiang's co-authors include Aggelos K. Katsaggelos, Junsong Yuan, Sotirios A. Tsaftaris, Ying Wu, Ying Wu, Michael L. Littman, Lance C. Pérez, Branka Vucetic, Yonghui Li and Qionghao Huang and has published in prestigious journals such as Proceedings of the IEEE, Information Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

Fan Jiang

20 papers receiving 390 citations

Peers

Fan Jiang
Comparison fields: 5 of 58
  • Artificial Intelligence 309
  • Computer Vision and Pattern Recognition 252
  • Computer Networks and Communications 120
  • Signal Processing 51
  • Biomedical Engineering 50
Replace Oluwatoyin P. Popoola with:
Oluwatoyin P. Popoola Nigeria
Noureddine Boujnah Tunisia
Somboon Hongeng United States
Luis A. Trejo Mexico
Sarvesh Vishwakarma India
Hua Yang China
Haichao Shi China
Yijie Zeng Singapore
Oluwatoyin P. Popoola Nigeria View profile →
Citations per field, relative to Fan Jiang
Fan Jiang · 1×
Citations per year, relative to Fan Jiang
Fan Jiang · 1×

Countries citing papers authored by Fan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Fan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Jiang. A scholar is included among the top collaborators of Fan Jiang 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 Fan Jiang. Fan Jiang 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 1
2 15
3 22
4 10
5 5
6 5
7 13
8 19
9
Anomalous Event Detection from Surveillance Video
3
10 14
11 154
12
Text Classification Model Based on Orthogonal Decomposition
1
13 40
14 11
15 51
16 1
17 27
18 4
19
Approximate Dimension Reduction at NTCIR.
4
20
Approximate Dimension Equalization in Vector-based Information Retrieval
17

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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