Feng Xia

159 papers receiving 4.8k citations

Feng Xia's Hit Papers

Knowledge Graphs: Opportunities and Challenges 2023 · 279 citations
2790+2+5Years since publication100200300400

Peers

Feng Xia
Comparison fields: 5 of 163
  • Computer Networks and Communications 1.6k
  • Transportation 458
  • Artificial Intelligence 1.6k
  • Information Systems 1.1k
  • Statistical and Nonlinear Physics 514
Replace Jianhua Ma with:
Jianhua Ma Japan
Qun Jin Japan
Xiaokang Zhou Japan
Hao Peng China
Jing He China
Jason J. Jung South Korea
Bo Liu China
Zhikui Chen China
Lizhen Cui China
Francesco Marcelloni Italy
Feng Xia relative to Jianhua Ma Japan Jianhua Ma's profile →
Citations per field
00.5×1.5×2.0×
Jianhua Ma · 1×
Citations per year

Countries citing papers authored by Feng Xia

Since Specialization
Citations

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

Fields of papers citing papers by Feng Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feng Xia, 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 Feng Xia Line = papers co-authored together Feng Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Cooperative Partial Computation Offloading Scheme for Mobile Edge Computing Enabled Internet of Things
Hit paper breakdown →
2018441
2
Knowledge Graphs: Opportunities and Challenges
Hit paper breakdown →
2023279
3 2019246
4 2018188
5 2020187
6
Edge Computing for Internet of Everything: A Survey
Hit paper breakdown →
2022173
7 2019153
8 2020140
9 2019137
10 2018128
11 2019120
12 2015119
13 2019106
14 2016104
15 201794
16 201687
17 202184
18 201680
19 201958
20 201857

About Feng Xia

Feng Xia is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 174 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (32 papers), Complex Network Analysis Techniques (31 papers), Human Mobility and Location-Based Analysis (20 papers), Recommender Systems and Techniques (19 papers), Traffic Prediction and Management Techniques (15 papers), Topic Modeling (13 papers), Anomaly Detection Techniques and Applications (11 papers) and Transportation Planning and Optimization (11 papers). The work is most often cited by research in Computer Networks and Communications (1.6k citations), Transportation (458 citations), Artificial Intelligence (1.6k citations), Information Systems (1.1k citations) and Statistical and Nonlinear Physics (514 citations). Feng Xia has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhaolong Ning, Xiangjie Kong, Peiran Dong, Ivan Lee, Jiaying Liu, Liangtian Wan, Xiaomei Bai, Amr Tolba, Xiaojie Wang and Joel J. P. C. Rodrigues. Their work appears in journals such as IEEE Access, IEEE Transactions on Computational Social Systems, IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems and ACM Transactions on Knowledge Discovery from Data.

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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