Fei Long

704 total citations
21 papers, 511 citations indexed

About

Fei Long is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Fei Long has authored 21 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Fei Long's work include Advanced Graph Neural Networks (3 papers), Economic and Environmental Valuation (2 papers) and Digital Media Forensic Detection (2 papers). Fei Long is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Economic and Environmental Valuation (2 papers) and Digital Media Forensic Detection (2 papers). Fei Long collaborates with scholars based in China, United States and Canada. Fei Long's co-authors include Xifeng Yan, Samuel P. Midkiff, Antonio Páez, Jiawei Han, Chao Liu, Steven Farber, Chao Liu, Jiawei Han, Peifa Jia and Jiadong Yang and has published in prestigious journals such as IEEE Transactions on Software Engineering, Applied Soft Computing and Urban Studies.

In The Last Decade

Fei Long

19 papers receiving 487 citations

Peers

Fei Long
Comparison fields: 5 of 53
  • Software 272
  • Information Systems 255
  • Computer Networks and Communications 126
  • Economics and Econometrics 121
  • Artificial Intelligence 34
Replace Bo Lin with:
Bo Lin China
Sebastian Ng Australia
Chengyu Zhang China
B M Mainul Hossain Bangladesh
Yuan Huang China
Ricardo de A. Araújo Brazil
Roy S. Freedman United States
Tong‐Seng Quah Singapore
John Hudak United States
Patrick Schweitzer Luxembourg
Bo Lin China View profile →
Citations per field, relative to Fei Long
Fei Long · 1×
Citations per year, relative to Fei Long
Fei Long · 1×

Countries citing papers authored by Fei Long

Since Specialization
Citations

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

Fields of papers citing papers by Fei Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Long

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Long. A scholar is included among the top collaborators of Fei Long 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 Fei Long. Fei Long 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 2
3 2
4 1
5 1
6 0
7 2
8 1
9 0
10 6
11 10
12 4
13 1
14 31
15 8
16 126
17
Spatial Effects in Hedonic Price Estimation: A Case Study in the City of Toronto
9
18 212
19 89
20 4

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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